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André C. P. L. F. de Carvalho

André Carlos Ponce de Leon Ferreira de Carvalho

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affiliation: University of São Paulo, Department of Computer Science, Brazil

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2024
[j167]
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Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024)
[j166]
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Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho:
Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. 133: 108125 (2024)
[j165]
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Fernanda Tostes Marana, Renato da Silva Fernandes, Jorge Luis Bazán Guzmán, André Carlos Ponce de Leon Ferreira de Carvalho, Mariana Curi:
What rating they will probably give: A cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Syst. Appl. 245: 122981 (2024)
[j164]
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Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101: 101979 (2024)
[j163]
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Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia:
A review on preprocessing algorithm selection with meta-learning. Knowl. Inf. Syst. 66(1): 1-28 (2024)
[j162]
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Douglas Castilho, Thársis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho:
Forecasting financial market structure from network features using machine learning. Knowl. Inf. Syst. 66(8): 4497-4525 (2024)
[c218]
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Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares:
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation. AEQUITAS@ECAI 2024
[c217]
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Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto J. Peterlevitz, Mateus A. Chinelatto, Ricardo Dutra da Silva, Juan Fernando Rojas Perea:
Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification. EPIA (2) 2024: 184-196
[c216]
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Arnaldo Vitor Barros da Silva, Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Anna Luíza Damaceno Araújo, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, André C. P. L. F. de Carvalho, Marcos G. Quiles:
Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. ICCSA (1) 2024: 151-164
[c215]
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Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles:
Applying LSTM Recurrent Neural Networks to Predict Revenue. ICCSA (2) 2024: 198-212
[c214]
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Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto José Peterlevitz, Mateus Antonio Chinelatto, Ricardo Dutra da Silva, Juan Fernando Rojas Perea:
A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection. IDEAL (2) 2024: 373-385
[c213]
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Hidelberg Albuquerque, Ellen Souza, Tainan Silva, Rafael P. Gouveia, Flávio Rocha Junior, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira, Francisco Edmundo de Andrade:
UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. PROPOR 2024: 342-352
[c212]
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Diany Pressato, Pedro Lucas Castro de Andrade, Flávio Rocha Junior, Felipe Alves Siqueira, Ellen Polliana Ramos Souza, Nádia Félix Felipe da Silva, Márcio de Souza Dias, André Carlos Ponce de Leon Ferreira de Carvalho:
Natural Language Processing Application in Legislative Activity: a Case Study of Similar Amendments in the Brazilian Senate. PROPOR 2024: 614-619
[c211]
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  - conf/visigrapp/MenezesPCC24
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Angelo G. Menezes, Augusto J. Peterlevitz, Mateus Antonio Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. VISIGRAPP (2): VISAPP 2024: 466-474
[i33]
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  - journals/corr/abs-2402-12624
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Angelo G. Menezes, Augusto J. Peterlevitz, Mateus Antonio Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. CoRR abs/2402.12624 (2024)
[i32]
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  - journals/corr/abs-2404-04736
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Iury Batista de Andrade Santos, André C. P. L. F. de Carvalho:
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging. CoRR abs/2404.04736 (2024)
[i31]
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  - journals/corr/abs-2409-14181
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André C. P. L. F. de Carvalho, Robson Bonidia, Jude Dzevela Kong, Mariana Dauhajre, Cláudio José Struchiner, Guilherme Tegoni Goedert, Peter F. Stadler, Maria Emília M. T. Walter, Danilo Sipoli Sanches, Troy Day, Marcia Castro, John Edmunds, Manuel Colomé-Hidalgo, Demian Arturo Herrera Morban, Edian F. Franco, Cesar Ugarte-Gil, Patricia Espinoza-Lopez, Gabriel Carrasco-Escobar, Ulisses Nunes da Rocha:
Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. CoRR abs/2409.14181 (2024)
2023
[j161]
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Tomás Horváth, Rafael G. Mantovani, André C. P. L. F. de Carvalho:
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. Appl. Soft Comput. 134: 109969 (2023)
[j160]
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Gean Trindade Pereira, Iury Batista de Andrade Santos, Luís Paulo F. Garcia, Thierry Urruty, Muriel Visani, André C. P. L. F. de Carvalho:
Neural architecture search with interpretable meta-features and fast predictors. Inf. Sci. 649: 119642 (2023)
[j159]
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  - journals/nn/MenezesMAC23
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Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. Neural Networks 161: 476-493 (2023)
[j158]
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Hidelberg Oliveira Albuquerque, Ellen Souza, Carlos Gomes, Matheus Henrique de C. Pinto, Ricardo P. S. Filho, Rosimeire Costa, Vinícius Teixeira de M. Lopes, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
Named Entity Recognition: a Survey for the Portuguese Language. Proces. del Leng. Natural 70: 171-185 (2023)
[j157]
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Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, André Carlos Ponce de Leon Ferreira de Carvalho:
Online Extra Trees Regressor. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6755-6767 (2023)
[c210]
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Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) 2023: 93-104
[c209]
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  - conf/eurova-ws/Pereira-SantosN23
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Davi Pereira-Santos, Tácito Trindade de Araújo Tiburtino Neves, André C. P. L. F. de Carvalho, Fernando V. Paulovich:
Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. EuroVA@EuroVis 2023: 31-36
[c208]
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Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia:
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. HAIS 2023: 51-62
[c207]
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Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho:
Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification. HAIS 2023: 108-120
[c206]
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  - conf/icdm/AmbielCC23
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Thiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho:
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. ICDM (Workshops) 2023: 456-464
[c205]
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Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho:
Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts. IDEAL 2023: 269-280
[c204]
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  - conf/ijcnn/CastilhoSTCPLGSSJA23
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Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio:
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN 2023: 1-9
[i30]
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  - journals/corr/abs-2312-01344
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Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares:
tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR abs/2312.01344 (2023)
2022
[j156]
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Robson Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors. Briefings Bioinform. 23(1) (2022)
[j155]
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Robson Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings Bioinform. 23(4) (2022)
[j154]
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Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho:
Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. Entropy 24(10): 1398 (2022)
[j153]
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Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior:
Using meta-learning for multi-target regression. Inf. Sci. 584: 665-684 (2022)
[j152]
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Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-features for meta-learning. Knowl. Based Syst. 240: 108101 (2022)
[c203]
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  - conf/bracis/VitorioSMSCO22
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Douglas Vitório, Ellen Souza, Lucas Martins, Nádia Félix F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira:
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. BRACIS (1) 2022: 77-91
[c202]
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  - conf/epia/FreireCFNSFFTCL22
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Daniela L. Freire, André Carlos Ponce de Leon Ferreira de Carvalho, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, Kelly Cristina Ramos da Silva, Claudemir Firmino, João Eduardo Ferreira, Pedro Losco Takecian, Danilo Carlotti, Francisco Antonio Cavalcanti Lima, Roberto Mendes Portela:
Content-Based Lawsuits Document Image Retrieval. EPIA 2022: 29-40
[c201]
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Daniela L. Freire, André Carlos Ponce de Leon Ferreira de Carvalho, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, Kelly Cristina Ramos da Silva, Claudemir Firmino, João Eduardo Ferreira, Pedro Losco Takecian, Danilo Carlotti, Francisco Antonio Cavalcanti Lima, Roberto Mendes Portela:
Lawsuits Document Images Processing Classification. EPIA 2022: 41-52
[c200]
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  - conf/epia/MaiaSSNPSDAMRPC22
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Dyonnatan Ferreira Maia, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de Souza Dias, Adrio O. Alves, Dyéssica F. Maia, Ingrid A. Ribeiro, Fabíola S. F. Pereira, André C. P. L. F. de Carvalho:
UlyssesSD-Br: Stance Detection in Brazilian Political Polls. EPIA 2022: 85-95
[c199]
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Rosimeire Costa, Hidelberg Oliveira Albuquerque, Gabriel Silvestre, Nádia Félix F. da Silva, Ellen Souza, Douglas Vitório, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Fabíola S. F. Pereira, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira:
Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. EPIA 2022: 767-779
[c198]
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Moisés R. Santos, Douglas Donizeti de Castilho Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior:
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. LA-CCI 2022: 1-6
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Hidelberg Oliveira Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia Félix F. da Silva, Douglas Vitório, Gyovana Moriyama, Lucas Martins, Luiza Soezima, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira:
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. PROPOR 2022: 3-14
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Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. CoRR abs/2205.15445 (2022)
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Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR abs/2206.08138 (2022)
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Marília Costa Rosendo Silva, Felipe Alves Siqueira, João Pedro Mantovani Tarrega, João Vitor Pataca Beinotti, Augusto Sousa Nunes, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, Nádia Félix Felipe da Silva, André Carlos Ponce de Leon Ferreira de Carvalho:
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling. CoRR abs/2208.01712 (2022)
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Gilson Y. Shimizu, Rafael Izbicki, André C. P. L. F. de Carvalho:
Model interpretation using improved local regression with variable importance. CoRR abs/2209.05371 (2022)
[i25]
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Luiz Fernando Silva Eugênio dos Santos, Claus Aranha, André Carlos Ponce de Leon Ferreira de Carvalho:
An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models. CoRR abs/2211.01959 (2022)
2021
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Robson Bonidia, Lucas Dias H. Sampaio, Douglas Silva Domingues, Alexandre Rossi Paschoal, Fabrício Martins Lopes, André C. P. L. F. de Carvalho, Danilo Sipoli Sanches:
Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings Bioinform. 22(5) (2021)
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Victor Alexandre Padilha, Omer S. Alkhnbashi, Van Dinh Tran, Shiraz A. Shah, André C. P. L. F. de Carvalho, Rolf Backofen:
Casboundary: automated definition of integral Cas cassettes. Bioinform. 37(10): 1352-1359 (2021)
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Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Comput. Electron. Agric. 180: 105906 (2021)
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Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 14(4): 1895-1914 (2021)
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Kelly C. Ramos Da Silva, Helder L. Costa De Oliveira, André C. P. L. F. de Carvalho:
Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. Int. J. Bus. Intell. Data Min. 19(2): 135-152 (2021)
[j146]
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Kemilly Dearo Garcia, Cláudio Rebelo de Sá, Mannes Poel, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho, Joost N. Kok:
An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing 439: 271-280 (2021)
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Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Assessing the data complexity of imbalanced datasets. Inf. Sci. 553: 83-109 (2021)
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André Luis Debiaso Rossi, Carlos Soares, Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho:
Micro-MetaStream: Algorithm selection for time-changing data. Inf. Sci. 565: 262-277 (2021)
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Michel C. Meneses, Leonardo N. Matos, Bruno O. Prado, André Carlos Ponce de Leon Ferreira de Carvalho, Hendrik Teixeira Macedo:
SmartSORT: an MLP-based method for tracking multiple objects in real-time. J. Real Time Image Process. 18(3): 913-921 (2021)
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Jonas Coelho Kasmanas, Alexander Bartholomäus, Felipe Borim Corrêa, Tamara L. Tal, Nico Jehmlich, Gunda Herberth, Martin von Bergen, Peter F. Stadler, André Carlos Ponce de Leon Ferreira de Carvalho, Ulisses Nunes da Rocha:
HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Res. 49(Database-Issue): D743-D750 (2021)
[j141]
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Omer S. Alkhnbashi, Alexander Mitrofanov, Robson Bonidia, Martin Raden, Van Dinh Tran, Florian Eggenhofer, Shiraz A. Shah, Ekrem Öztürk, Victor Alexandre Padilha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho, Rolf Backofen:
CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Res. 49(Webserver-Issue): 125-130 (2021)
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André Carlos Ponce de Leon Ferreira de Carvalho, Anne Magály de Paula Canuto, Graçaliz Pereira Dimuro:
Preface. Nat. Comput. 20(4): 751-752 (2021)
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Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. Pattern Recognit. Lett. 145: 37-42 (2021)
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Nádia Félix F. da Silva, Marília Costa R. Silva, Fabíola S. F. Pereira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio Fonseca, Francisco Edmundo de Andrade, André C. P. L. F. de Carvalho:
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies. BRACIS (2) 2021: 104-120
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Luís Paulo F. Garcia, Felipe Campelo, Guilherme Novaes Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho:
Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) 2021: 453-467
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Dino Ienco, Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. ICANN (5) 2021: 126-137
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Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL 2021: 246-258
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Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho:
Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. IJCNN 2021: 1-7
[c191]
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Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho:
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) 2021: 380-388
[c190]
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Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study of the Correlation of Metafeatures Used for Metalearning. IWANN (1) 2021: 471-483
[c189]
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Ellen Souza, Douglas Vitório, Gyovana Moriyama, Luiz Santos, Lucas Martins, Mariana Souza, Márcio Fonseca F. da Silva, Nádia Félix, André C. P. L. F. de Carvalho, Hidelberg Oliveira Albuquerque, Adriano L. I. Oliveira:
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX 2021: 119-126
[c188]
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Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 2021: 80-96
[c187]
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Breno Lívio Silva de Almeida, Alvaro Pedroso Queiroz, Anderson Paulo Avila Santos, Robson Parmezan Bonidia, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André Carlos Ponce de Leon Ferreira de Carvalho:
Feature Importance Analysis of Non-coding DNA/RNA Sequences Based on Machine Learning Approaches. BSB 2021: 81-92
[c186]
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João Pedro Uchôa Cavalcante, Anderson Cardoso Gonçalves, Robson Parmezan Bonidia, Danilo Sipoli Sanches, André Carlos Ponce de Leon Ferreira de Carvalho:
MathPIP: Classification of Proinflammatory Peptides Using Mathematical Descriptors. BSB 2021: 131-136
[i24]
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Kleber Padovani de Souza, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Chateau, Ronnie Alves:
Towards a reinforcement learning de novo genome assembler. CoRR abs/2102.02649 (2021)
[i23]
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Geand Trindade Pereira, Moisés Rocha dos Santos, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem. CoRR abs/2106.03954 (2021)
[i22]
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Davi Pereira-Santos, Gabriel Dalforno, André C. P. L. F. de Carvalho:
Predictable universally unique identification of sequential events on complex objects. CoRR abs/2109.06028 (2021)
[i21]
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Douglas Castilho, Thársis Tuani Pinto Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho:
Forecasting Financial Market Structure from Network Features using Machine Learning. CoRR abs/2110.11751 (2021)
2020
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Evelin Helena Silva Cardoso, Marcelino Silva da Silva, Francisco Eguinaldo De Albuquerque Félix Júnior, Solon Venâncio de Carvalho, André Carlos Ponce de Leon Ferreira de Carvalho, Nandamudi Vijaykumar, Carlos Renato Lisboa Francês:
Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries. IEEE Access 8: 172563-172580 (2020)
[j137]
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Robson Parmezan Bonidia, Jaqueline Sayuri Machida, Tatianne da Costa Negri, Wonder Alexandre Luz Alves, André Y. Kashiwabara, Douglas Silva Domingues, André C. P. L. F. de Carvalho, Alexandre Rossi Paschoal, Danilo Sipoli Sanches:
A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs. IEEE Access 8: 181683-181697 (2020)
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Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. 24(5): 1011-1028 (2020)
[j135]
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Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho:
MFE: Towards reproducible meta-feature extraction. J. Mach. Learn. Res. 21: 111:1-111:5 (2020)
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Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
A Meta-learning approach for recommending the number of clusters for clustering algorithms. Knowl. Based Syst. 195: 105682 (2020)
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Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho:
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. 109(8): 1509-1563 (2020)
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Leandro Y. Mano, Bruno S. Faiçal, Vinícius P. Gonçalves, Gustavo Pessin, Pedro Henrique Gomes, André C. P. L. F. de Carvalho, Jó Ueyama:
An intelligent and generic approach for detecting human emotions: a case study with facial expressions. Soft Comput. 24(11): 8467-8479 (2020)
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Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, Xin Yao:
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. IEEE Trans. Knowl. Data Eng. 32(6): 1104-1115 (2020)
[c185]
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Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. BRACIS (2) 2020: 337-351
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Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) 2020: 498-512
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Moisés Rocha dos Santos, Leandro Resende Mundim, André C. P. L. F. de Carvalho:
Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task. HAIS 2020: 397-409
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Jorge Francisco Cutigi, Renato Feijo Evangelista, Rodrigo Henrique Ramos, Cynthia de Oliveira Lage Ferreira, Adriane Feijo Evangelista, André C. P. L. F. de Carvalho, Adenilso Simão:
Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery. BSB 2020: 81-92
[i20]
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  - journals/corr/abs-2007-06041
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Michel C. Meneses, Leonardo N. Matos, Bruno O. Prado, André Carlos Ponce de Leon Ferreira de Carvalho, Hendrik T. Macedo:
Learning to associate detections for real-time multiple object tracking. CoRR abs/2007.06041 (2020)
[i19]
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Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020)
[i18]
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Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. CoRR abs/2009.00453 (2020)
[i17]
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Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho:
MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR abs/2009.05818 (2020)
[i16]
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Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR abs/2009.07430 (2020)
[i15]
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Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. CoRR abs/2012.00083 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho:
Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. 77: 584-604 (2019)
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Victor Alexandre Padilha, André Carlos Ponce de Leon Ferreira de Carvalho:
Experimental correlation analysis of bicluster coherence measures and gene ontology information. Appl. Soft Comput. 85 (2019)
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Kleber Padovani de Souza, João Carlos Setubal, André Carlos Ponce de Leon Ferreira de Carvalho, Guilherme Oliveira, Annie Chateau, Ronnie Alves:
Machine learning meets genome assembly. Briefings Bioinform. 20(6): 2116-2129 (2019)
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Paulo Henrique Pisani, Abir Mhenni, Romain Giot, Estelle Cherrier, Norman Poh, André Carlos Ponce de Leon Ferreira de Carvalho, Christophe Rosenberger, Najoua Essoukri Ben Amara:
Adaptive Biometric Systems: Review and Perspectives. ACM Comput. Surv. 52(5): 102:1-102:38 (2019)
[j126]
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Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado:
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 326-327: 1-2 (2019)
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Davi Pereira dos Santos, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho:
Empirical investigation of active learning strategies. Neurocomputing 326-327: 15-27 (2019)
[j124]
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Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
A new data characterization for selecting clustering algorithms using meta-learning. Inf. Sci. 477: 203-219 (2019)
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Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho:
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Inf. Sci. 494: 141-154 (2019)
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Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. Inf. Sci. 501: 193-221 (2019)
[j121]
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Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163: 693-704 (2019)
[j120]
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Gean Trindade Pereira, André C. P. L. F. de Carvalho:
Bringing robustness against adversarial attacks. Nat. Mach. Intell. 1(11): 499-500 (2019)
[j119]
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Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior:
A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. 128: 480-487 (2019)
[c181]
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Renny Márquez, Richard Weber, André C. P. L. F. de Carvalho:
A non-negative matrix factorization approach to update communities in temporal networks using node features. ASONAM 2019: 728-732
[c180]
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Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon:
Online Local Boosting: Improving Performance in Online Decision Trees. BRACIS 2019: 132-137
[c179]
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Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho:
The Influence of Sampling on Imbalanced Data Classification. BRACIS 2019: 210-215
[c178]
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Robson Parmezan Bonidia, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre Rossi Paschoal, Danilo Sipoli Sanches:
Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants. BRACIS 2019: 539-544
[c177]
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Tamires Brito-Sarracino, Moisés Rocha dos Santos, Eric Freire Antunes, Iury Batista de Andrade Santos, Jonas Coelho Kasmanas, André Carlos Ponce de Leon Ferreira de Carvalho:
Explainable Machine Learning for Breast Cancer Diagnosis. BRACIS 2019: 681-686
[c176]
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Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok:
Ensemble Clustering for Novelty Detection in Data Streams. DS 2019: 460-470
[c175]
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Henrique de Castro Neto, Rita Maria da Silva Julia, Elaine Ribeiro de Faria Paiva, André Carlos Ponce de Leon Ferreira de Carvalho, Anisio Pereira Santos Junior, Diansley Raphael Santos Peres, Etienne Silva Julia, Jony Teixeira de Melo, Umberto Maia Barcelos, Josiane Esteves de Assis:
Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. EPIA (2) 2019: 96-107
[c174]
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Fabíola S. F. Pereira, André C. P. L. F. de Carvalho, Rafael Assis, Maxley Costa, Elaine R. Faria, Rita Maria da Silva Julia, Umberto Barcelos, Jony Melo:
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) 2019: 120-132
[c173]
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Kemilly Dearo Garcia, Mannes Poel, Joost N. Kok, André C. P. L. F. de Carvalho:
Online Clustering for Novelty Detection and Concept Drift in Data Streams. EPIA (2) 2019: 448-459
[c172]
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Douglas Castilho, João Gama, Leandro Resende Mundim, André C. P. L. F. de Carvalho:
Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks. ICCS (3) 2019: 340-353
[c171]
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Thiago Alves de Queiroz, Leandro Resende Mundim, André Carlos Ponce de Leon Ferreira de Carvalho:
Multi-objective Basic Variable Neighborhood Search for Portfolio Selection. ICVNS 2019: 67-80
[c170]
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Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes:
Qualitative data clustering: a new Integer Linear Programming model. IJCNN 2019: 1-8
[c169]
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Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
Unsupervised Meta-Learning for Clustering Algorithm Recommendation. IJCNN 2019: 1-8
[c168]
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Luciano Carli Moreira de Andrade, André C. P. L. F. de Carvalho:
Fraud Detection Using Explainable Machine Learning Algorithms. MLDM (1) 2019: 201-215
[c167]
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Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho:
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. PKDD/ECML Workshops (1) 2019: 241-252
[c166]
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Fabíola S. F. Pereira, Thiago Andrade, André C. P. L. F. de Carvalho:
Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media. PKDD/ECML Workshops (2) 2019: 314-320
[c165]
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Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho:
A Study on Hyperparameter Configuration for Human Activity Recognition. SOCO 2019: 47-56
[i14]
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Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho:
Online Multi-target regression trees with stacked leaf models. CoRR abs/1903.12483 (2019)
[i13]
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Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. CoRR abs/1906.01684 (2019)
[i12]
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Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Jr.:
Online Local Boosting: improving performance in online decision trees. CoRR abs/1907.07207 (2019)
[i11]
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Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho:
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. CoRR abs/1907.13525 (2019)
[i10]
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Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Luiz G. A. Alves:
Reconstructing commuters network using machine learning and urban indicators. CoRR abs/1908.03512 (2019)
[i9]
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Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Transfer Learning for Algorithm Recommendation. CoRR abs/1910.07012 (2019)
2018
[j118]
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Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho:
Enhancing multilabel classification for food truck recommendation. Expert Syst. J. Knowl. Eng. 35(4) (2018)
[j117]
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Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Adaptive Biometric Systems using Ensembles. IEEE Intell. Syst. 33(2): 19-28 (2018)
[j116]
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Alberto Verdecia-Cabrera, Isvani Inocencio Frías Blanco, André C. P. L. F. de Carvalho:
An online adaptive classifier ensemble for mining non-stationary data streams. Intell. Data Anal. 22(4): 787-806 (2018)
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Pablo García Bringas, André C. P. L. F. de Carvalho, Ajith Abraham, Álvaro Herrero, Héctor Quintián, Emilio Corchado:
Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems. Neurocomputing 271: 1 (2018)
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Inf. Sci. 423: 128-144 (2018)
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Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior:
Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining. Pattern Recognit. Lett. 116: 22-28 (2018)
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Adriano Rivolli, André C. P. L. F. de Carvalho:
The utiml Package: Multi-label Classification in R. R J. 10(2): 24 (2018)
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Edesio Alcobaça, Rafael Gomes Mantovani, André L. D. Rossi, André C. P. L. F. de Carvalho:
Dimensionality Reduction for the Algorithm Recommendation Problem. BRACIS 2018: 318-323
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Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho:
Label Expansion for Multi-label Classification. BRACIS 2018: 414-419
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Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon:
Making Data Stream Classification Tree-Based Ensembles Lighter. BRACIS 2018: 480-485
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Victor Alexandre Padilha, André Carlos Ponce de Leon Ferreira de Carvalho:
A Study of Biclustering Coherence Measures for Gene Expression Data. BRACIS 2018: 546-551
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. DS 2018: 114-128
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Lucas D. Ferreira, Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. FIE 2018: 1-8
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Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena:
Preprocessing Technique for Cluster Editing via Integer Linear Programming. ICIC (1) 2018: 287-297
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Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira:
A Cluster-Based Prototype Reduction for Online Classification. IDEAL (1) 2018: 603-610
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Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho:
Unsupervised Domain Adaptation for Human Activity Recognition. IDEAL (1) 2018: 623-630
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Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Data Complexity Measures for Imbalanced Classification Tasks. IJCNN 2018: 1-8
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Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN 2018: 1-7
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Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning. IJCNN 2018: 1-8
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
CF4CF: recommending collaborative filtering algorithms using collaborative filtering. RecSys 2018: 357-361
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Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A smartphone application to measure the quality of pest control spraying machines via image analysis. SAC 2018: 956-963
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
A label ranking approach for selecting rankings of collaborative filtering algorithms. SAC 2018: 1393-1395
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Bruno C. Kümmel, André C. P. L. F. de Carvalho, Marcelo M. Brigido, Célia Ghedini Ralha, Maria Emília M. T. Walter:
S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts. BSB 2018: 103-113
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering. CoRR abs/1803.02250 (2018)
[i7]
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Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior:
Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining. CoRR abs/1805.06368 (2018)
[i6]
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. CoRR abs/1807.09097 (2018)
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Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Towards Reproducible Empirical Research in Meta-Learning. CoRR abs/1808.10406 (2018)
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. CoRR abs/1809.06120 (2018)
[i3]
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Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho:
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. CoRR abs/1810.10956 (2018)
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Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
An empirical study on hyperparameter tuning of decision trees. CoRR abs/1812.02207 (2018)
2017
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Bruno S. Faiçal, Heitor Freitas, Pedro Henrique Gomes, Leandro Y. Mano, Gustavo Pessin, André C. P. L. F. de Carvalho, Bhaskar Krishnamachari, Jó Ueyama:
An adaptive approach for UAV-based pesticide spraying in dynamic environments. Comput. Electron. Agric. 138: 210-223 (2017)
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Paulo Henrique Pisani, Norman Poh, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Score normalization applied to adaptive biometric systems. Comput. Secur. 70: 565-580 (2017)
[j109]
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Vinícius R. Máximo, Mariá C. V. Nascimento, André C. P. L. F. de Carvalho:
Intelligent-guided adaptive search for the maximum covering location problem. Comput. Oper. Res. 78: 129-137 (2017)
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Carlos Affonso, André Luis Debiaso Rossi, Fábio Henrique Antunes Vieira, André Carlos Ponce de Leon Ferreira de Carvalho:
Deep learning for biological image classification. Expert Syst. Appl. 85: 114-122 (2017)
[j107]
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Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Adaptive algorithms applied to accelerometer biometrics in a data stream context. Intell. Data Anal. 21(2): 353-370 (2017)
[j106]
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André Luis Debiaso Rossi, Bruno Feres de Souza, Carlos Soares, André Carlos Ponce de Leon Ferreira de Carvalho:
A guidance of data stream characterization for meta-learning. Intell. Data Anal. 21(4): 1015-1035 (2017)
[j105]
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Tomás Horváth, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary computing in recommender systems: a review of recent research. Nat. Comput. 16(3): 441-462 (2017)
[j104]
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Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9(1): 219 (2017)
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  - conf/bracis/JuniorGMOCF17
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Carlos R. G. Junior, Pedro Henrique Gomes, Leandro Y. Mano, Rone B. de Oliveira, André Carlos Ponce de Leon Ferreira de Carvalho, Bruno S. Faiçal:
A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition. BRACIS 2017: 234-239
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Victor Alexandre Padilha, André Carlos Ponce de Leon Ferreira de Carvalho:
A Comparison of Hierarchical Biclustering Ensemble Methods. BRACIS 2017: 318-323
[c146]
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  - conf/cbms/GelattiCR17
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Giovana Jaskulski Gelatti, André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Pereira Rodrigues:
Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper. CBMS 2017: 354-355
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. DS 2017: 189-203
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Adriano Rivolli, Larissa C. Parker, André C. P. L. F. de Carvalho:
Food Truck Recommendation Using Multi-label Classification. EPIA 2017: 585-596
[c143]
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Shana Schlottfeldt, Maria Emília Telles Walter, André C. P. L. F. de Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho:
Using a multi-objective artificial immune system approach for biodiversity conservation. ICNC-FSKD 2017: 1063-1069
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. RecSys 2017: 14-22
[i1]
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Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A smartphone application to measure the quality of pest control spraying machines via image analysis. CoRR abs/1711.07828 (2017)
2016
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Elaine R. Faria, Isabel J. C. R. Gonçalves, André C. P. L. F. de Carvalho, João Gama:
Novelty detection in data streams. Artif. Intell. Rev. 45(2): 235-269 (2016)
[j102]
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Ivani de Oliveira Negrão Lopes, Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho:
Automatic learning of pre-miRNAs from different species. BMC Bioinform. 17: 224 (2016)
[j101]
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Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin:
Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform. 17: 373 (2016)
[j100]
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Paulo Henrique Pisani, Romain Giot, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Enhanced template update: Application to keystroke dynamics. Comput. Secur. 60: 134-153 (2016)
[j99]
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Elaine Ribeiro de Faria, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
MINAS: multiclass learning algorithm for novelty detection in data streams. Data Min. Knowl. Discov. 30(3): 640-680 (2016)
[j98]
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Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho:
Ensembles of label noise filters: a ranking approach. Data Min. Knowl. Discov. 30(5): 1192-1216 (2016)
[j97]
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Álvaro Herrero, Bruno Baruque, Ajith Abraham, André Carlos Ponce de Leon Ferreira de Carvalho, Pablo García Bringas, Héctor Quintián, Emilio Corchado:
Editorial: Special Issue CISIS13-IGPL. Log. J. IGPL 24(1): 1-3 (2016)
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Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Henrique Gomes, Jó Ueyama:
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments. Int. J. Artif. Intell. Tools 25(1): 1660003:1-1660003:19 (2016)
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Javier Bajo, Andrew T. Campbell, Sigeru Omatu, André C. P. L. F. de Carvalho, Juan M. Corchado:
Mobile sensing and social computing. Int. J. Distributed Sens. Networks 12(8) (2016)
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Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Sung-Bae Cho, Héctor Quintián:
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 176: 1-2 (2016)
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Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Noise detection in the meta-learning level. Neurocomputing 176: 14-25 (2016)
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Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil:
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing 205: 393-406 (2016)
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Álvaro Herrero, Bruno Baruque, Fanny Klett, Ajith Abraham, Václav Snásel, André C. P. L. F. de Carvalho, Pablo García Bringas, Ivan Zelinka, Héctor Quintián, Juan Manuel Corchado, Emilio Corchado:
SPECIAL ISSUE SOCO13-JAL. J. Appl. Log. 17: 1-3 (2016)
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Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Marcelo Ponciano-Silva, Paulo Mazzoncini de Azevedo Marques, André Carlos Ponce de Leon Ferreira de Carvalho, Caetano Traina Jr.:
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. J. Digit. Imaging 29(1): 22-37 (2016)
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Isvani Inocencio Frías Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, André C. P. L. F. de Carvalho, Agustín Alejandro Ortiz Díaz, Rafael Morales Bueno:
Online adaptive decision trees based on concentration inequalities. Knowl. Based Syst. 104: 179-194 (2016)
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Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. BRACIS 2016: 37-42
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Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Automatic Selection of Learning Bias for Active Sampling. BRACIS 2016: 55-60
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Igor Bueno Correa, André C. P. L. F. de Carvalho:
DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz. BRACIS 2016: 241-246
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Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Effects of Random Sampling on SVM Hyper-parameter Tuning. ISDA 2016: 268-278
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Bruno S. Faiçal, Jo Ueyama, André C. P. L. F. de Carvalho:
The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. MDM (Workshops) 2016: 32-33
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Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Selecting Collaborative Filtering Algorithms Using Metalearning. ECML/PKDD (2) 2016: 393-409
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Isvani Inocencio Frías Blanco, Alberto Verdecia-Cabrera, Agustín Alejandro Ortiz Díaz, André C. P. L. F. de Carvalho:
Fast adaptive stacking of ensembles. SAC 2016: 929-934
2015
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Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex Alves Freitas:
Automatic Design of Decision-Tree Induction Algorithms. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-14230-2, pp. 1-176
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Ricardo Cerri, Gisele L. Pappa, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. Comput. Intell. 31(1): 1-46 (2015)
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Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genet. Program. Evolvable Mach. 16(3): 241-281 (2015)
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Héctor Quintián, Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Editorial: Special issue HAIS12-IGPL. Log. J. IGPL 23(3): 355-358 (2015)
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Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, André C. P. L. F. de Carvalho:
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing 149: 767-776 (2015)
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Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Effect of label noise in the complexity of classification problems. Neurocomputing 160: 108-119 (2015)
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Héctor Quintián, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Václav Snásel, Sung-Bae Cho:
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 163: 1-2 (2015)
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Álvaro Herrero, Václav Snásel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luís Calvo-Rolle, Javier Sedano, André C. P. L. F. de Carvalho, Emilio Corchado:
Special issue SOCO12. J. Appl. Log. 13(2): 91-93 (2015)
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Luiz Henrique Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena:
Filter Feature Selection for One-Class Classification. J. Intell. Robotic Syst. 80(Supplement-1): 227-243 (2015)
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Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Adaptive Positive Selection for Keystroke Dynamics. J. Intell. Robotic Syst. 80(Supplement-1): 277-293 (2015)
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Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowl. Based Syst. 90: 153-164 (2015)
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Elaine Ribeiro de Faria, Isabel Ribeiro Gonçalves, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluation of Multiclass Novelty Detection Algorithms for Data Streams. IEEE Trans. Knowl. Data Eng. 27(11): 2961-2973 (2015)
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Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Selectively Inhibiting Learning Bias for Active Sampling. BRACIS 2015: 62-67
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Ana Carolina Lorena, Luís Paulo Faina Garcia, André C. P. L. F. de Carvalho:
Adapting Noise Filters for Ranking. BRACIS 2015: 299-304
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Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Ensemble of Adaptive Algorithms for Keystroke Dynamics. BRACIS 2015: 310-315
[c131]
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Mario Gazziro, C. F. R. Braga, D. A. Moreira, André C. P. L. F. de Carvalho, J. F. Rodrigues, J. S. Navarro, J. C. M. Ardila, Daniel Pasti Mioni, Murilo Pilon Pessatti, Paulo Augusto Dal Fabbro, C. Freewin, Stephen E. Saddow:
Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier. EMBC 2015: 5094-5097
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Shana Schlottfeldt, Jon Timmis, Maria Emília Telles Walter, André Carlos Ponce de Leon Ferreira de Carvalho, Lorena M. Simon, Rafael D. Loyola, José Alexandre Felizola Diniz-Filho:
A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning. EMO (2) 2015: 458-472
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Shana Schlottfeldt, Maria Emília M. T. Walter, Jon Timmis, André C. P. L. F. de Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho:
Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers. GECCO 2015: 1271-1278
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Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho:
Hierarchical classification of Gene Ontology-based protein functions with neural networks. IJCNN 2015: 1-8
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Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, André L. V. Coelho:
An evolutionary sampling approach for classification with imbalanced data. IJCNN 2015: 1-7
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Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. IJCNN 2015: 1-8
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Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
Effectiveness of Random Search in SVM hyper-parameter tuning. IJCNN 2015: 1-8
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Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Adaptive approaches for keystroke dynamics. IJCNN 2015: 1-8
[c123]
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Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. MetaSel@PKDD/ECML 2015: 80-92
2014
[j77]
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Ivani de Oliveira Negrão Lopes, Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho:
The discriminant power of RNA features for pre-miRNA recognition. BMC Bioinform. 15: 124 (2014)
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Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Unsupervised density-based behavior change detection in data streams. Intell. Data Anal. 18(2): 181-201 (2014)
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Emilio Corchado, Michal Wozniak, Ajith Abraham, André Carlos Ponce de Leon Ferreira de Carvalho, Václav Snásel:
Recent trends in intelligent data analysis. Neurocomputing 126: 1-2 (2014)
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André Luis Debiaso Rossi, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Bruno Feres de Souza:
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data. Neurocomputing 127: 52-64 (2014)
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Rodrigo C. Barros, Pablo A. Jaskowiak, Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho:
A framework for bottom-up induction of oblique decision trees. Neurocomputing 135: 3-12 (2014)
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Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares:
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing 143: 27-43 (2014)
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Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. 258: 160-181 (2014)
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Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical multi-label classification using local neural networks. J. Comput. Syst. Sci. 80(1): 39-56 (2014)
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Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. 18(6): 873-892 (2014)
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Luiz Henrique Nogueira Lorena, Ana Carolina Lorena, Luiz Antonio Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Clustering Search Applied to Rank Aggregation. BRACIS 2014: 198-203
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Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Adaptive Algorithms in Accelerometer Biometrics. BRACIS 2014: 336-341
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Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, Gustavo Furquim, André C. P. L. F. de Carvalho, Jó Ueyama:
Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. EANN 2014: 49-58
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Shana Schlottfeldt, Jon Timmis, Maria Emília M. T. Walter, André C. P. L. F. de Carvalho, José Alexandre Felizola Diniz-Filho, Lorena M. Simon, Rafael D. Loyola, Mariana P. C. Telles:
Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change. GECCO (Companion) 2014: 177-178
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Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) 2014: 1279-1286
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Davi Pereira dos Santos, André Carlos Ponce de Leon Ferreira de Carvalho:
Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search. HAIS 2014: 618-629
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Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, André C. P. L. F. de Carvalho, Gustavo Furquim, Jo Ueyama:
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. ICTAI 2014: 527-533
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Roberto Alves Gueleri, Thiago Henrique Cupertino, André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao:
A flocking-like technique to perform semi-supervised learning. IJCNN 2014: 1579-1586
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Katti Faceli, Tiemi C. Sakata, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions. IJCNN 2014: 3056-3061
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Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings. Lecture Notes in Computer Science 8480, Springer 2014, ISBN 978-3-319-07616-4 [contents]
[e8]
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Álvaro Herrero, Bruno Baruque, Fanny Klett, Ajith Abraham, Václav Snásel, André Carlos Ponce de Leon Ferreira de Carvalho, Pablo García Bringas, Ivan Zelinka, Héctor Quintián, Emilio Corchado:
International Joint Conference SOCO'13-CISIS'13-ICEUTE'13 - Salamanca, Spain, September 11th-13th, 2013 Proceedings. Advances in Intelligent Systems and Computing 239, Springer 2014, ISBN 978-3-319-01853-9 [contents]
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José Gaviria de la Puerta, Iván García-Ferreira, Pablo García Bringas, Fanny Klett, Ajith Abraham, André C. P. L. F. de Carvalho, Álvaro Herrero, Bruno Baruque, Héctor Quintián, Emilio Corchado:
International Joint Conference SOCO'14-CISIS'14-ICEUTE'14 - Bilbao, Spain, June 25th-27th, 2014, Proceedings. Advances in Intelligent Systems and Computing 299, Springer 2014, ISBN 978-3-319-07994-3 [contents]
2013
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Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Data stream clustering: A survey. ACM Comput. Surv. 46(1): 13:1-13:31 (2013)
[j67]
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Murilo Coelho Naldi, André C. P. L. F. de Carvalho, Ricardo J. G. B. Campello:
Cluster ensemble selection based on relative validity indexes. Data Min. Knowl. Discov. 27(2): 259-289 (2013)
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. 21(4): 659-684 (2013)
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Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho:
Online behavior change detection in computer games. Expert Syst. Appl. 40(16): 6258-6265 (2013)
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Rattan Priya, Bruno Feres de Souza, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Predicting execution time of machine learning tasks for scheduling. Int. J. Hybrid Intell. Syst. 10(1): 23-32 (2013)
[j63]
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Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. J. Inf. Data Manag. 4(3): 357-373 (2013)
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Elaine R. Faria, Isabel J. C. R. Gonçalves, João Gama, André C. P. L. F. de Carvalho:
Evaluation Methodology for Multiclass Novelty Detection Algorithms. BRACIS 2013: 19-25
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Ricardo Cerri, Rodrigo Coelho Barros, André C. P. L. F. de Carvalho:
Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. BRACIS 2013: 125-130
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Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation 2013: 454-461
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Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho:
A grammatical evolution approach for software effort estimation. GECCO 2013: 1413-1420
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Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Noisy Data Set Identification. HAIS 2013: 629-638
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Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) 2013: 385-400
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Elaine R. Faria, João Gama, André C. P. L. F. de Carvalho:
Novelty detection algorithm for data streams multi-class problems. SAC 2013: 795-800
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Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, André C. P. L. F. de Carvalho:
Software effort prediction: a hyper-heuristic decision-tree based approach. SAC 2013: 1109-1116
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Jeng-Shyang Pan, Marios M. Polycarpou, Michal Wozniak, André C. P. L. F. de Carvalho, Héctor Quintián-Pardo, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings. Lecture Notes in Computer Science 8073, Springer 2013, ISBN 978-3-642-40845-8 [contents]
2012
[j62]
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Rodrigo C. Barros, Ana T. Winck, Karina S. Machado, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Duncan D. Ruiz, Osmar Norberto de Souza:
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 13: 310 (2012)
[j61]
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Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho:
Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75(1): 3-13 (2012)
[j60]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles:
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. 18(4): 351-362 (2012)
[j59]
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Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Trans. Syst. Man Cybern. Part C 42(3): 291-312 (2012)
[c105]
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Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, André Carlos Ponce de Leon Ferreira de Carvalho:
A hybrid heuristic for the k-medoids clustering problem. GECCO 2012: 417-424
[c104]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO 2012: 1237-1244
[c103]
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Rattan Priya, Bruno Feres de Souza, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks. HAIS (1) 2012: 196-207
[c102]
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Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. ICCSA (3) 2012: 562-575
[c101]
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Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. ICONIP (3) 2012: 488-495
[c100]
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Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Multi-objective optimization and Meta-learning for SVM parameter selection. IJCNN 2012: 1-8
[c99]
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Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho:
A genetic algorithm for Hierarchical Multi-Label Classification. SAC 2012: 250-255
[c98]
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Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho:
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. SAC 2012: 829-830
[c97]
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Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares:
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN 2012: 1-6
[c96]
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André Luis Debiaso Rossi, André C. P. L. F. de Carvalho, Carlos Soares:
Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. SBRN 2012: 7-12
[c95]
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Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study on Class Noise Detection and Elimination. SBRN 2012: 13-18
[c94]
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Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, João Gama:
A Density-Based Clustering Approach for Behavior Change Detection in Data Streams. SBRN 2012: 37-42
[c93]
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Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. SMC 2012: 2909-2914
2011
[j58]
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Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho:
Efficiency issues of evolutionary k-means. Appl. Soft Comput. 11(2): 1938-1952 (2011)
[j57]
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Mariá Cristina Vasconcelos Nascimento, André Carlos Ponce de Leon Ferreira de Carvalho:
Spectral methods for graph clustering - A survey. Eur. J. Oper. Res. 211(2): 221-231 (2011)
[j56]
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Ana Carolina Lorena, Luís F. O. Jacintho, Marinez Ferreira de Siqueira, Renato De Giovanni, Lúcia G. Lohmann, André Carlos Ponce de Leon Ferreira de Carvalho, Missae Yamamoto:
Comparing machine learning classifiers in potential distribution modelling. Expert Syst. Appl. 38(5): 5268-5275 (2011)
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Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intell. Data Anal. 15(6): 861-887 (2011)
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Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho:
A hybrid approach to learn with imbalanced classes using evolutionary algorithms. Log. J. IGPL 19(2): 293-303 (2011)
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Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Selection of algorithms to solve traveling salesman problems using meta-learning. Int. J. Hybrid Intell. Syst. 8(3): 117-128 (2011)
[j52]
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Mariá Cristina Vasconcelos Nascimento, André C. P. L. F. de Carvalho:
A graph clustering algorithm based on a clustering coefficient for weighted graphs. J. Braz. Comput. Soc. 17(1): 19-29 (2011)
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Towards the automatic design of decision tree induction algorithms. GECCO (Companion) 2011: 567-574
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Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. ICMLA (1) 2011: 346-351
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Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu:
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI 2011: 994-997
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Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. ISDA 2011: 337-343
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Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, André Carlos Ponce de Leon Ferreira de Carvalho:
A bottom-up oblique decision tree induction algorithm. ISDA 2011: 450-456
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Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles:
A clustering-based decision tree induction algorithm. ISDA 2011: 543-550
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Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks. BSB 2011: 10-17
2010
[j51]
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Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho:
A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. IEEE Intell. Informatics Bull. 11(1): 8-13 (2010)
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Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, André Carlos Ponce de Leon Ferreira de Carvalho:
Investigation of a new GRASP-based clustering algorithm applied to biological data. Comput. Oper. Res. 37(8): 1381-1388 (2010)
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Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
Special issue for the SBRN Guest Editorial. Neurocomputing 73(16-18): 2797-2798 (2010)
[j48]
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Katti Faceli, Tiemi C. Sakata, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
Partitions selection strategy for set of clustering solutions. Neurocomputing 73(16-18): 2809-2819 (2010)
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Building binary-tree-based multiclass classifiers using separability measures. Neurocomputing 73(16-18): 2837-2845 (2010)
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Emilio Corchado, Ajith Abraham, André Carlos Ponce de Leon Ferreira de Carvalho:
Hybrid intelligent algorithms and applications. Inf. Sci. 180(14): 2633-2634 (2010)
[j45]
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Yuri Saito, Ricardo José Ferrari, Jefferson Teixeira, Paulo M. Azevedo-Marques, André C. P. L. F. de Carvalho, Antonio Carlos dos Santos:
Modelo Estatístico para a Determinação do Número Ótimo de Iterações do Filtro de Difusão Anisotrópica Aplicado à Redução de Ruído de Imagens de Ressonância Magnética do Cérebro. RITA 17(1): 52-70 (2010)
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification. IBERAMIA 2010: 194-203
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Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho:
New top-down methods using SVMs for Hierarchical Multilabel Classification problems. IJCNN 2010: 1-8
[c83]
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
A comprehensive comparison of ML algorithms for gene expression data classification. IJCNN 2010: 1-8
[c82]
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Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolutionary model tree induction. SAC 2010: 1131-1137
[c81]
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Rosane Maria Maffei Vallim, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation. SBGames 2010: 108-116
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Tiemi C. Sakata, Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. SBRN 2010: 49-54
[c79]
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Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Using Meta-learning to Classify Traveling Salesman Problems. SBRN 2010: 73-78
[c78]
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Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN 2010: 79-84
[c77]
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Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks. SBRN 2010: 253-258
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João Gama, Pedro Pereira Rodrigues, Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho:
Knowledge Discovery from Data Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 125-138
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André Carlos Ponce de Leon Ferreira de Carvalho, Sara Rodríguez-González, Juan F. De Paz Santana, Juan M. Corchado Rodríguez:
Distributed Computing and Artificial Intelligence - 7th International Symposium, DCAI 2010, 7-10 September 2010, Valencia, Spain. Advances in Intelligent and Soft Computing 79, Springer 2010, ISBN 978-3-642-14882-8 [contents]
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Hideyuki Takagi, Ajith Abraham, Mario Köppen, Kaori Yoshida, André C. P. L. F. de Carvalho:
Second World Congress on Nature & Biologically Inspired Computing, NaBIC 2010, 15-17 December 2010, Kitakyushu, Japan. IEEE 2010, ISBN 978-1-4244-7376-2 [contents]

2000 – 2009

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2009
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Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Novelty detection with application to data streams. Intell. Data Anal. 13(3): 405-422 (2009)
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Margarida G. M. S. Cardoso, André Carlos Ponce de Leon Ferreira de Carvalho:
Quality indices for (practical) clustering evaluation. Intell. Data Anal. 13(5): 725-740 (2009)
[j42]
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Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas:
Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. 1(1/2): 105-117 (2009)
[j41]
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines. Int. J. Comput. Intell. Appl. 8(1): 53-68 (2009)
[j40]
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Bruno Feres de Souza, Carlos Soares, André C. P. L. F. de Carvalho:
Meta-learning approach to gene expression data classification. Int. J. Intell. Comput. Cybern. 2(2): 285-303 (2009)
[j39]
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Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho:
Multi-objective clustering ensemble for gene expression data analysis. Neurocomputing 72(13-15): 2763-2774 (2009)
[j38]
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Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena:
Pre-processing for noise detection in gene expression classification data. J. Braz. Comput. Soc. 15(1): 3-11 (2009)
[j37]
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Murilo Coelho Naldi, Katti Faceli, André C. P. L. F. de Carvalho:
Uma Revisão Sobre Combinação de Agrupamentos. RITA 16(2): 25-52 (2009)
[j36]
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Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
A Survey of Evolutionary Algorithms for Clustering. IEEE Trans. Syst. Man Cybern. Part C 39(2): 133-155 (2009)
[c76]
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Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. de Carvalho:
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. GECCO 2009: 1323-1330
[c75]
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André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Use of Classification Algorithms in Noise Detection and Elimination. HAIS 2009: 417-424
[c74]
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Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz:
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC 2009: 1085-1090
[c73]
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Ricardo Cerri, Renato R. O. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho:
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques. BSB 2009: 109-120
[p6]
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Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. Foundations of Computational Intelligence (4) 2009: 167-195
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André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Tutorial on Multi-label Classification Techniques. Foundations of Computational Intelligence (5) 2009: 177-195
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Ajith Abraham, Aboul Ella Hassanien, André Carlos Ponce de Leon Ferreira de Carvalho:
Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining. Studies in Computational Intelligence 204, Springer 2009, ISBN 978-3-642-01087-3 [contents]
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Ajith Abraham, Aboul Ella Hassanien, André Carlos Ponce de Leon Ferreira de Carvalho, Václav Snásel:
Foundations of Computational Intelligence - Volume 6: Data Mining. Studies in Computational Intelligence 206, Springer 2009, ISBN 978-3-642-01090-3 [contents]
2008
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
A review on the combination of binary classifiers in multiclass problems. Artif. Intell. Rev. 30(1-4): 19-37 (2008)
[j34]
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
A hybrid case adaptation approach for case-based reasoning. Appl. Intell. 28(2): 101-119 (2008)
[j33]
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Edgar Pimenta, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho:
The Dimension of Ecocs for Multiclass Classification Problems. Int. J. Artif. Intell. Tools 17(3): 433-447 (2008)
[j32]
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Teresa Bernarda Ludermir, Andreas König, André Carlos Ponce de Leon Ferreira de Carvalho:
Special Issue HIS 2007. Int. J. Hybrid Intell. Syst. 5(2): 57-58 (2008)
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André Carlos Ponce de Leon Ferreira de Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Brazilian Symposium on Neural Networks (SBRN2006). Neurocomputing 71(16-18): 3317 (2008)
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary tuning of SVM parameter values in multiclass problems. Neurocomputing 71(16-18): 3326-3334 (2008)
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Thiago Turchetti Maia, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho:
Hybrid classification algorithms based on boosting and support vector machines. Kybernetes 37(9/10): 1469-1491 (2008)
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Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses. RITA 15(2): 65-86 (2008)
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Tatyana B. S. de Oliveira, Liang Zhao, Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho:
Data clustering based on complex network community detection. IEEE Congress on Evolutionary Computation 2008: 2121-2126
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Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. de Carvalho:
A new approach for multi-label classification based on default hierarchies and organizational learning. GECCO (Companion) 2008: 2017-2022
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André L. D. Rossi, André C. P. L. F. de Carvalho, Carlos Soares:
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. HIS 2008: 435-440
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Metalearning for Gene Expression Data Classification. HIS 2008: 441-446
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André L. D. Rossi, Carlos Soares, André C. P. L. F. de Carvalho:
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. ICONIP (2) 2008: 252-259
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Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, André Carlos Ponce de Leon Ferreira de Carvalho:
Consensus Clustering Using Spectral Theory. ICONIP (1) 2008: 461-468
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Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena:
Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. ICONIP (1) 2008: 486-493
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Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce de Leon Ferreira de Carvalho, Ronaldo C. Prati:
Potential Distribution Modelling Using Machine Learning. IEA/AIE 2008: 255-264
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João Gama, André Carlos Ponce de Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz:
Special track on Data Streams: editorial message. SAC 2008: 955
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Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks. SAC 2008: 976-980
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Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. SBRN 2008: 27-32
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André L. D. Rossi, Luis Debiaso, André Carlos Ponce de Leon Ferreira de Carvalho:
Bio-inspired Optimization Techniques for SVM Parameter Tuning. SBRN 2008: 57-62
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Tree Decomposition of Multiclass Problems. SBRN 2008: 189-194
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Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas:
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB 2008: 35-46
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Arthur Plinio Souza de Braga, André Carlos Ponce de Leon Ferreira de Carvalho, João Fernando Gomes de Oliveira:
Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine. Advances of Computational Intelligence in Industrial Systems 2008: 249-268
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Investigation of Strategies for the Generation of Multiclass Support Vector Machines. New Challenges in Applied Intelligence Technologies 2008: 319-328
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Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
Genetic Clustering for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 113-132
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
evolutionary Design of Code-matrices for Multiclass Problems. Soft Computing for Knowledge Discovery and Data Mining 2008: 153-184
2007
[j27]
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Protein cellular localization prediction with Support Vector Machines and Decision Trees. Comput. Biol. Medicine 37(2): 115-125 (2007)
[j26]
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Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
Multi-objective clustering ensemble. Int. J. Hybrid Intell. Syst. 4(3): 145-156 (2007)
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J. F. G. Oliveira, Arthur P. S. Braga, André Carlos Ponce de Leon Ferreira de Carvalho:
Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding. Int. J. Manuf. Technol. Manag. 12(1/2/3): 171-183 (2007)
[j24]
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Waldo Cancino Ticona:
Applying genetic algorithms and support vector machines to the gene selection problem. J. Intell. Fuzzy Syst. 18(5): 435-444 (2007)
[j23]
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Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Evolutionary design of multiclass support vector machines. J. Intell. Fuzzy Syst. 18(5): 445-454 (2007)
[j22]
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Uma Introdução às Support Vector Machines. RITA 14(2): 43-67 (2007)
[c58]
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Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho:
Clustering using genetic algorithm combining validation criteria. ESANN 2007: 139-144
[c57]
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Edgar Pimenta, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho:
Pursuing the Best ECOC Dimension for Multiclass Problems. FLAIRS 2007: 622-627
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines. HIS 2007: 53-58
[c55]
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, L. H. C. Mattoso, E. Minatti, Ednaldo J. Ferreira, Carlos E. Borato, M. C. Zanus:
A Hybrid Case Based Reasoning Approach for Wine Classification. ISDA 2007: 395-400
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Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams. SAC 2007: 448-452
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Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
Multi-Objective Clustering Ensemble with Prior Knowledge. BSB 2007: 34-45
[c52]
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Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden:
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. BSB 2007: 126-137
2006
[j21]
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Aluízio F. R. Araújo, André Carlos Ponce de Leon Ferreira de Carvalho:
The Brazilian Symposium on Neural Networks (SBRN'04). Neurocomputing 70(1-3): 1-2 (2006)
[j20]
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Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho:
Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing 70(1-3): 44-54 (2006)
[j19]
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
Automatic knowledge learning and case adaptation with a hybrid committee approach. J. Appl. Log. 4(1): 26-38 (2006)
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii:
Multiclass SVM Model Selection Using Particle Swarm Optimization. HIS 2006: 31
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Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
Multi-Objective Clustering Ensemble. HIS 2006: 51
[c49]
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Bruno Rodrigues Nery, Rodrigo Fernandes de Mello, André Carlos Ponce de Leon Ferreira de Carvalho, Laurence Tianruo Yang:
Process Scheduling Using Ant Colony Optimization Techniques. ISPA 2006: 304-316
[c48]
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Patricia Texeira Leite, Adriano A. F. M. Carneiro, André C. P. L. F. de Carvalho:
Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems. SBRN 2006: 84-89
[c47]
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Multiclass SVM Design and Parameter Selection with Genetic Algorithms. SBRN 2006: 131-136
2005
[j18]
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Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir:
Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. 22(3): 167-181 (2005)
[j17]
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Antonio Valério Netto, André Carlos Ponce de Leon Ferreira de Carvalho:
Classifier Combination Applied for Understanding of Eyes Images. Int. J. Comput. Intell. Appl. 5(3): 393-406 (2005)
[j16]
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Ana L. C. Bazzan, André Carlos Ponce de Leon Ferreira de Carvalho:
Multi-agent Systems and Machine Learning Facilitating Genome Annotation. RITA 12(1): 83-110 (2005)
[c46]
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Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Support Vector Machines Applied to White Blood Cell Recognition. HIS 2005: 379-384
[c45]
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Liang Zhao, Antonio P. G. Damiance, André Carlos Ponce de Leon Ferreira de Carvalho:
A Self-organized Network for Data Clustering. ICNC (1) 2005: 1189-1198
[c44]
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Giampaolo L. Libralao, Osvaldo C. P. Almeida, André Carlos Ponce de Leon Ferreira de Carvalho:
Classification of Ophthalmologic Images Using an Ensemble of Classifiers. IEA/AIE 2005: 380-389
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation. IEA/AIE 2005: 422-431
[c42]
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees. BSB 2005: 42-53
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Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho:
Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data. BSB 2005: 54-64
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Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto:
Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. BSB 2005: 65-76
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André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir:
Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) 2005: 603-605
2004
[j15]
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Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho, Solange Oliveira Rezende:
Combining Intelligent Techniques for Sensor Fusion. Appl. Intell. 20(3): 199-213 (2004)
[j14]
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Antonio P. G. Damiance, Liang Zhao, André Carlos Ponce de Leon Ferreira de Carvalho:
A dynamical model with adaptive pixel moving for microarray images segmentation. Real Time Imaging 10(4): 189-195 (2004)
[j13]
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Liang Zhao, André Carlos Ponce de Leon Ferreira de Carvalho, Zhaohui Li:
Pixel clustering by adaptive pixel moving and chaotic synchronization. IEEE Trans. Neural Networks 15(5): 1176-1185 (2004)
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Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho:
A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems. IEEE Congress on Evolutionary Computation 2004: 1278-1285
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Alexandre C. B. Delbem, André Carlos Ponce de Leon Ferreira de Carvalho, Cláudio Adriano Policastro, Adriano K. O. Pinto, Karen Honda, Anderson C. Garcia:
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design. GECCO (1) 2004: 678-687
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
A Hybrid Case Based Reasoning Approach for Monitoring Water Quality. IEA/AIE 2004: 492-501
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho:
Gene Selection Using Genetic Algorithms. ISBMDA 2004: 479-490
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Comparing Techniques for Multiclass Classification Using Binary SVM Predictors. MICAI 2004: 272-281
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
Automatic Case Adaptation with a Hybrid Committee Approach. MICAI 2004: 302-311
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Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI 2004: 833-843
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs. SBIA 2004: 366-375
[c31]
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Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho:
SVMs for novel class detection in Bioinformatics. WOB 2004: 81-88
[c30]
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Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho:
Gene Selection based on Multi-class SVMs and Genetic Algorithms. WOB 2004: 89-96
[c29]
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Karen Honda, Alexandre C. B. Delbem, André Carlos Ponce de Leon Ferreira de Carvalho:
Phylogenetic Reconstruction from Evolutionary Algorithm using Edge-Set Representation. WOB 2004: 129-132
[c28]
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Deborah J. Medeiros, André Carlos Ponce de Leon Ferreira de Carvalho:
Gene Clusters Analysis Using Text Mining. WOB 2004: 141-144
2003
[j12]
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Liang Zhao, Rogerio A. Furukawa, André Carlos Ponce de Leon Ferreira de Carvalho:
A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation. Int. J. Neural Syst. 13(2): 129-137 (2003)
[c27]
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Alexandre C. B. Delbem, André Carlos Ponce de Leon Ferreira de Carvalho:
A Forest Representation for Evolutionary Algorithms Applied to Network Design. GECCO 2003: 634-635
[c26]
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
Hybrid Approach for Case Adaptation. HIS 2003: 331-340
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Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging. ICANN 2003: 234-244
[c24]
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Cláudio Adriano Policastro, André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem:
Hybrid Approaches for Case Retrieval and Adaptation. KI 2003: 297-311
[c23]
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Rodrigo Bianchi, Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho:
E. Coli Promoter Gene Sequence and Human Splice Site Identification with Explanation by Extracting Rules from Trained Artificial Neural Networks. WOB 2003: 19-27
2002
[j11]
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Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
An Approach to Explain Neural Networks using Symbolic Algorithms. Int. J. Comput. Intell. Appl. 2(4): 365-376 (2002)
[j10]
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Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Model selection via Genetic Algorithms for RBF networks. J. Intell. Fuzzy Syst. 13(2-4): 111-122 (2002)
[j9]
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Renata A. Macêdo, Donato da Silva-Filho, Denis Vinicius Coury, Adriano A. F. M. Carneiro, André Carlos Ponce de Leon Ferreira de Carvalho:
A genetic algorithm based approach to track voltage and current harmonics in electrical power systems. J. Intell. Fuzzy Syst. 13(2-4): 167-175 (2002)
[j8]
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Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Um Tutorial sobre Algoritmos Genéticos. RITA 9(3): 7-39 (2002)
[c22]
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Humberto Costa de Sousa, Ernesto Cuadros-Vargas, André Carlos Ponce de Leon Ferreira de Carvalho:
Artificial Neural Networks Designed as Components. JIISIC 2002: 129-137
[c21]
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Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms. MICAI 2002: 272-281
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Renata A. Macêdo, Donato da Silva-Filho, Denis Vinicius Coury, André Carlos Ponce de Leon Ferreira de Carvalho:
A New Technique Based on Genetic Algorithms for Tracking of Power System Harmonics. SBRN 2002: 7-12
[c19]
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Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. SBRN 2002: 31-37
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Liang Zhao, Rogerio A. Furukawa, André Carlos Ponce de Leon Ferreira de Carvalho:
A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation. SBRN 2002: 92-97
[c17]
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Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. SBRN 2002: 118-123
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Patricia Texeira Leite, Alber de Franca Mendes Carneiro, André Carlos Ponce de Leon Ferreira de Carvalho:
Genetic Operators Setting for the Operation Planning of Hydrothermal Systems. SBRN 2002: 124-129
[c15]
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Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Splice Junction Recognition using Machine Learning Techniques. WOB 2002: 32-39
[c14]
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Silvia H. M. G. da Silva, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Danielle D. Tambasco, Luciana C. A. Regitano:
Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina. WOB 2002: 105-107
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André Carlos Ponce de Leon Ferreira de Carvalho, José Carlos Maldonado, Juan Carlos Augusto, Manoel Gomes de Mendonça Neto, Silvia Teresita Acuña:
Proceedings of 2nd Ibero-American Symposium on Software Engineering and Knowledge Engineering (JIISIC'02), Salvador, Brasil, October 2002. 2002, ISBN 85-87837-06-0 [contents]
2001
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Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Evolutionary Optimization of RBF Networks. Int. J. Neural Syst. 11(3): 287-294 (2001)
[j6]
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André Carlos Ponce de Leon Ferreira de Carvalho, Stefan C. Kremer:
Introduction By Guest Editors: Non-Gradient Learning Techniques. Int. J. Neural Syst. 11(6): vii-ix (2001)
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André Carlos Ponce de Leon Ferreira de Carvalho, M. M. Brizzotti:
Combining RBF Networks Trained by Different Clustering Techniques. Neural Process. Lett. 14(3): 227-240 (2001)
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Ricardo Barz Sovat, Sandra M. Aluísio, André Carlos Ponce de Leon Ferreira de Carvalho:
RaBeCa: A Hybrid Case-Based Reasoning Development Environment. ICTAI 2001: 61-68
2000
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Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard:
Applying One-Sided Selection to Unbalanced Datasets. MICAI 2000: 315-325
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Estefane G. M. de Lacerda, Teresa Bernarda Ludermir, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Optimization of RBF Networks. SBRN 2000: 219-224
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M. M. Brizzotti, André Carlos Ponce de Leon Ferreira de Carvalho:
Comparing Different Clustering Techniques RBF Networks Training. SBRN 2000: 225-230

1990 – 1999

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What is the meaning of the colors in the publication lists?

1999
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Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir:
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9(3): 257-264 (1999)
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Marcelo de Oliveira Rosa, Jose Carlos Pereira, Marcos Grellet, André C. P. L. F. de Carvalho:
Signal processing and statistical procedures to identify laryngeal pathologies. ICECS 1999: 423-426
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Humberto Costa de Sousa, André C. P. L. F. de Carvalho:
Pattern recognition using constructive algorithms. IJCNN 1999: 3092-3097
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Chandler W. Caulkins, Robson B. T. Oliveira, André C. P. L. F. de Carvalho, Solange O. Rezende, Maria Carolina Monard:
Applying neural networks to determine vibration parameters in a turbine. IJCNN 1999: 3371-3376
1998
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André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst:
Applying Adaptive Logic Networks to character recognition. Pattern Recognit. Lett. 19(5-6): 469-473 (1998)
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Ernesto Cuadros-Vargas, Humberto Costa de Sousa, André Carlos Ponce de Leon Ferreira de Carvalho:
Automatic Target Recognition using a Constructive Approach. SBRN 1998: 112-117
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Marcelo de Oliveira Rosa, Jose Carlos Pereira, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluation of Neural Classifiers using Statistic Methods for Identification of Laryngeal Pathologies. SBRN 1998: 220-225
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Elson Felix Mendes Filho, André Carlos Ponce de Leon Ferreira de Carvalho:
Target Recognition using Evolutionary Neural Networks. SBRN 1998: 226-231
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Mário Oleskovicz, Denis Vinicius Coury, André Carlos Ponce de Leon Ferreira de Carvalho:
Artificial Neural Network Applied to Power System Protection. SBRN 1998: 247-252
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Adriano A. F. M. Carneiro, Patricia Texeira Leite, André Carlos Ponce de Leon Ferreira de Carvalho:
A Genetic Algorithm Approach to Optimize the Operation Planning of Hydrothermal System Scheduling. SBRN 1998: 253-
1997
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André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset:
Combining Boolean Neural Architectures for Image Recognition. Connect. Sci. 9(4): 405-418 (1997)
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Elson Felix Mendes Filho, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Design of MLP Neural Network Architectures. SBRN 1997: 58-65
1994
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André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset:
An integrated Boolean neural network for pattern classification. Pattern Recognit. Lett. 15(8): 807-813 (1994)

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