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2020 – today
- 2025
[j137]Fatma El Zahraa Magdy, Mario Parreño Centeno, James H. Cole, João Paulo Papa, Fumie Costen
:
Brain Age Prediction Using a Lightweight Convolutional Neural Network. IEEE Access 13: 6750-6763 (2025)- 2024
- [j136]Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos, João Paulo Papa:
A comprehensive study among distance measures on supervised optimum-path forest classification. Appl. Soft Comput. 164: 112021 (2024) - [j135]Artur Gomes Barreto, Felipe Fernandes Fanchini, João Paulo Papa, Victor Hugo C. de Albuquerque:
Why consider quantum instead classical pattern recognition techniques? Appl. Soft Comput. 165: 112096 (2024) - [j134]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar:
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. 94: 106263 (2024) - [j133]Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Leonardo S. Oliveira, João P. Papa, Dinesh Kant Kumar:
Facial expressions to identify post-stroke: A pilot study. Comput. Methods Programs Biomed. 250: 108195 (2024) - [j132]Leandro A. Passos, Danilo Samuel Jodas, Kelton A. P. Costa, Luis Antônio de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa:
A review of deep learning-based approaches for deepfake content detection. Expert Syst. J. Knowl. Eng. 41(8) (2024) - [j131]João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa:
Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing 589: 127717 (2024) - [j130]Jihene Tmamna, Rahma Fourati, Emna Ben Ayed, Leandro A. Passos, João P. Papa, Mounir Ben Ayed, Amir Hussain:
A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing 608: 128378 (2024) - [j129]Luis Antônio de Souza, Leandro A. Passos, Marcos Cleison S. Santana, Robert Mendel, David Rauber, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Christoph Palm:
Layer-selective deep representation to improve esophageal cancer classification. Medical Biol. Eng. Comput. 62(11): 3355-3372 (2024) - [j128]Luis Antônio de Souza Júnior, André G. C. Pacheco, Leandro A. Passos, Marcos C. S. Santana, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 36(18): 10445-10459 (2024) - [j127]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Rethinking Regularization with Random Label Smoothing. Neural Process. Lett. 56(3): 157 (2024) - [j126]Danilo Samuel Jodas, Sergio Brazolin, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Takashi Yojo, João Paulo Papa:
Urban tree failure probability prediction based on dendrometric aspects and machine learning models. Comput. Environ. Urban Syst. 108: 102074 (2024) - [c194]Guilherme C. Oliveira, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar:
A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. CBMS 2024: 158-163 - [c193]Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar:
NestNeuro: Leveraging Chatbots for Vocal Screening. CBMS 2024: 182-185 - [c192]Danilo Samuel Jodas, Gabriel Lino Garcia, Pedro Henrique Paiola, João Renato Ribeiro Manesco, João Paulo Papa:
Impact of Quantization on Large Language Models for Portuguese Classification Tasks. CIARP (1) 2024: 213-227 - [c191]Gabriel Lino Garcia, Pedro Henrique Paiola, Eduardo Garcia, João Renato Ribeiro Manesco, João Paulo Papa:
GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese. CIARP (1) 2024: 228-243 - [c190]João Otávio Rodrigues Ferreira Frediani, Gabriel Lino Garcia, Pedro Henrique Paiola, Leandro Aparecido Passos, João Paulo Papa, Aparecido Nilceu Marana:
Hate Speech Detection in Portuguese Using BERTimbau. CIARP (1) 2024: 244-255 - [c189]Danilo Samuel Jodas, Leandro A. Passos, Douglas Rodrigues, Kelton A. P. Costa, João Paulo Papa:
Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently. ICPR (7) 2024: 1-18 - [c188]Maria Angélica Krüger Miranda, Felipe Fernandes Fanchini, Leandro Aparecido Passos, Douglas Rodrigues, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa:
A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem. ICPR (7) 2024: 85-98 - [c187]Matheus Goes Crivelaro, Douglas Rodrigues, André Gifalli, João Paulo Papa, Carlos Guilherme Gonzales, André Nunes de Souza, Gustavo Vinícius Da Silva, Erasmo Silveira Neto:
Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. IWSSIP 2024: 1-7 - [c186]Pedro Lamkowski, Douglas Rodrigues, Leandro A. Passos, João P. Papa, Jurandy Almeida:
Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. IWSSIP 2024: 1-7 - [c185]Thiago José Lucas, Leandro Aparecido Passos, Douglas Rodrigues, Danilo S. Jodas, João Paulo Papa, Kelton Augusto Pontara da Costa, Rafal Scherer:
Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems. IWSSIP 2024: 1-6 - [c184]Rafael Gonçalves Pires, Clayton Reginaldo Pereira, Tiago Penedo, João Paulo Papa, Mateus Roder, Fabio Augusto Barbieri:
Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. IWSSIP 2024: 1-5 - [c183]Carlos Alexandre Carvalho Tojeiro, Thiago José Lucas, Leandro A. Passos, Douglas Rodrigues, Simone G. D. Prado, João Paulo Papa, Kelton Augusto Pontara da Costa:
Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques. IWSSIP 2024: 1-6 - [c182]Gabriel Lino Garcia, Pedro Henrique Paiola, Danilo Samuel Jodas, Luis Afonso Sugi, João Paulo Papa:
Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset. PROPOR 2024: 86-96 - [c181]Pedro Henrique Paiola, Gabriel Lino Garcia, Danilo Samuel Jodas, João Vitor Mariano Correia, Luis C. S. Afonso, João Paulo Papa:
RecognaSumm: A Novel Brazilian Summarization Dataset. PROPOR 2024: 575-579 - [c180]João Renato Ribeiro Manesco, Danilo Samuel Jodas, Maurício José Grapíggia Zanella, Marcel Koenigkam Santos, João Paulo Papa:
Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images. SIBGRAPI 2024: 1-6 - [c179]Luis A. Souza, André G. C. Pacheco, Gabriel De Angelo, Thiago Oliveira-Santos, Christoph Palm, João P. Papa:
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. SIBGRAPI 2024: 1-6 - [c178]Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa:
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. VISIGRAPP (3): VISAPP 2024: 207-214 - [c177]Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega:
Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. VISIGRAPP (3): VISAPP 2024: 624-631 - [c176]Mateus Roder, Leandro Aparecido Passos, Clayton R. Pereira, João Paulo Papa, Altanir Flores de Mello Junior, Marcelo Fagundes de Rezende, Yaro Moisés Parizek Silva, Alexandre Campane Vidal:
Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. VISIGRAPP (3): VISAPP 2024: 648-655 - [c175]Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa:
Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. VISIGRAPP (2): VISAPP 2024: 788-795 - [i52]Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa:
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. CoRR abs/2401.02909 (2024) - [i51]Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Kelton A. P. Costa, João Paulo Papa:
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. CoRR abs/2402.07310 (2024) - [i50]Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa:
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. CoRR abs/2410.00163 (2024) - [i49]Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa:
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences. CoRR abs/2412.03531 (2024) - 2023
- [j125]Thiago José Lucas, Inaê Soares de Figueiredo, Carlos Alexandre Carvalho Tojeiro, Alex Marino Gonçalves de Almeida, Rafal Scherer, José Remo Ferreira Brega, João Paulo Papa, Kelton Augusto Pontara da Costa:
A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. IEEE Access 11: 122638-122676 (2023) - [j124]Robert Mendel, David Rauber, Luis Antônio de Souza, João P. Papa, Christoph Palm:
Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Comput. Biol. Medicine 154: 106585 (2023) - [j123]Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar:
Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. Comput. Methods Programs Biomed. 240: 107713 (2023) - [j122]Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 55(2): 34:1-34:34 (2023) - [j121]Luis Claudio Sugi Afonso, Douglas Rodrigues, João Paulo Papa:
Nature-inspired optimum-path forest. Evol. Intell. 16(1): 317-328 (2023) - [j120]Leandro A. Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing 527: 196-203 (2023) - [j119]Leandro A. Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel:
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Inf. Fusion 90: 1-11 (2023) - [j118]Daniel F. S. Santos, João P. Papa:
TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j117]Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa:
Explaining COVID-19 diagnosis with Taylor decompositions. Neural Comput. Appl. 35(30): 22087-22100 (2023) - [j116]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. Softw. Impacts 15: 100459 (2023) - [c174]Luiz Fernando Merli de Oliveira Sementille, Douglas Rodrigues, André Nunes de Souuza, João Paulo Papa:
Binary Flying Squirrel Optimizer for Feature Selection. BRACIS (3) 2023: 51-64 - [c173]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) 2023: 323-337 - [c172]Daniel Felipe Silva Santos, Rafael Goncalves Pires, João P. Papa:
Deblur Capsule Networks. CIARP 2023: 1-15 - [c171]Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa:
Facial Point Graphs for Stroke Identification. CIARP 2023: 685-699 - [c170]Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa:
A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. IWSSIP 2023: 1-5 - [c169]Danilo Samuel Jodas, Leandro Aparecido Passos, Douglas Rodrigues, Thiago José Lucas, Kelton Augusto Pontara da Costa, João Paulo Papa:
OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. IWSSIP 2023: 1-5 - [c168]M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa:
Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. IWSSIP 2023: 1-5 - [c167]Douglas Rodrigues, Kelton Augusto Pontara da Costa, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
Opposition-Based Jellyfish Search for Feature Selection. IWSSIP 2023: 1-5 - [c166]Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen:
Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. SIBGRAPI 2023: 163-168 - [c165]Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa:
Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish. VISIGRAPP (4: VISAPP) 2023: 65-73 - [c164]Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Aline Ribeiro Machado, João Paulo Papa:
Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage. VISIGRAPP (4: VISAPP) 2023: 143-150 - [c163]Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa:
A Multi-Class Probabilistic Optimum-Path Forest. VISIGRAPP (5: VISAPP) 2023: 361-368 - [c162]Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. VISIGRAPP (4: VISAPP) 2023: 737-745 - [c161]Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa:
FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. VISIGRAPP (4: VISAPP) 2023: 830-837 - [i48]Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa:
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR abs/2301.13671 (2023) - [i47]Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa:
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. CoRR abs/2307.12159 (2023) - [i46]Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification. CoRR abs/2310.13490 (2023) - 2022
- [j115]Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Sharif Naser Makhadmeh, Seyedali Mirjalili, Mohammed Azmi Al-Betar, Salwani Abdullah, Nabeel Salih Ali, João P. Papa, Douglas Rodrigues, Ammar Kamal Abasi:
EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer. IEEE Access 10: 10500-10513 (2022) - [j114]Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antônio de Souza Júnior, João Paulo Papa, Ram Sarkar:
A fuzzy distance-based ensemble of deep models for cervical cancer detection. Comput. Methods Programs Biomed. 219: 106776 (2022) - [j113]Claudio Filipi Goncalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. ACM Comput. Surv. 54(10s): 213:1-213:25 (2022) - [j112]Gustavo H. de Rosa, Mateus Roder, João P. Papa:
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j111]Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa:
Detection of Trees on Street-View Images Using a Convolutional Neural Network. Int. J. Neural Syst. 32(1): 2150042:1-2150042:20 (2022) - [j110]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481: 33-45 (2022) - [j109]João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette:
Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. 89: 103666 (2022) - [j108]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling imbalanced datasets through Optimum-Path Forest. Knowl. Based Syst. 242: 108445 (2022) - [j107]João Paulo Papa, João Manuel R. S. Tavares:
Editorial of the special section on CIARP 2021. Pattern Recognit. Lett. 163: 182 (2022) - [j106]Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, João P. Papa, Mohammed Azmi Al-Betar, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Seifedine Kadry, Orawit Thinnukool, Pattaraporn Khuwuthyakorn:
EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm. Sensors 22(6): 2092 (2022) - [j105]Luiz Carlos Felix Ribeiro, Gustavo H. de Rosa, Douglas Rodrigues, João P. Papa:
Convolutional neural networks ensembles through single-iteration optimization. Soft Comput. 26(8): 3871-3882 (2022) - [j104]Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 276-286 (2022) - [c160]Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa:
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. BRACIS (2) 2022: 479-493 - [c159]Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa:
MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. IbPRIA 2022: 271-282 - [c158]Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa:
An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. IbPRIA 2022: 447-457 - [c157]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP 2022: 2581-2585 - [c156]Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos:
FEMa-FS: Finite Element Machines for Feature Selection. ICPR 2022: 1784-1791 - [c155]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP 2022: 1-4 - [c154]Paulo R. Galego Hernandes Junior, Rafal Scherer, Lucas B. Januario, Douglas Rodrigues, João P. Papa, Kelton A. P. Costa:
From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. IWSSIP 2022: 1-4 - [c153]Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa:
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. IWSSIP 2022: 1-4 - [c152]Gabriel Lino Garcia, Luis C. S. Afonso, João P. Papa:
FakeRecogna: A New Brazilian Corpus for Fake News Detection. PROPOR 2022: 57-67 - [c151]Rafael Bezerra de Menezes Rodrigues, Pedro Ivo Monteiro Privatto, Gustavo José de Sousa, Rafael P. Murari, Luis C. S. Afonso, João P. Papa, Daniel C. G. Pedronette, Ivan Rizzo Guilherme, Stephan R. Perrout, Aliel F. Riente:
PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. PROPOR 2022: 101-109 - [c150]Danilo Samuel Jodas, Leandro Aparecido Passos, Giuliana Del Nero Velasco, Mariana Hortelani Carneseca Longo, Aline Ribeiro Machado, João Paulo Papa:
Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. SIBGRAPI 2022: 121-126 - [c149]Guilherme Brandão Martins, João Paulo Papa:
How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. SIBGRAPI 2022: 127-132 - [c148]Guilherme Brandão Martins, João Paulo Papa:
Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions. SIBGRAPI 2022: 186-191 - [c147]Thiago José Lucas, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa:
An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. SMC 2022: 1173-1179 - [i45]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. CoRR abs/2201.03299 (2022) - [i44]Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. CoRR abs/2201.03323 (2022) - [i43]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa:
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR abs/2202.03854 (2022) - [i42]Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR abs/2202.04528 (2022) - [i41]Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa:
A Review of Deep Learning-based Approaches for Deepfake Content Detection. CoRR abs/2202.06095 (2022) - [i40]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling Imbalanced Datasets Through Optimum-Path Forest. CoRR abs/2202.08934 (2022) - [i39]Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro Aparecido Passos, João Paulo Papa, Kelton Augusto Pontara da Costa:
An End-to-End Approach for Seam Carving Detection using Deep Neural Networks. CoRR abs/2203.02728 (2022) - [i38]Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa:
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR abs/2203.02740 (2022) - [i37]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar:
Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR abs/2203.13856 (2022) - [i36]Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque:
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. CoRR abs/2204.06635 (2022) - [i35]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR abs/2204.13572 (2022) - [i34]Leandro A. Passos, João Paulo Papa, Ahsan Adeel:
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. CoRR abs/2206.02671 (2022) - [i33]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-kNN: A Parameterless Nearest Neighbors Classifier. CoRR abs/2209.12647 (2022) - [i32]Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa:
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. CoRR abs/2209.12822 (2022) - [i31]Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa:
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR abs/2211.17045 (2022) - [i30]Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos:
FEMa-FS: Finite Element Machines for Feature Selection. CoRR abs/2212.02507 (2022) - [i29]Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR abs/2212.09447 (2022) - [i28]Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa:
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. CoRR abs/2212.10411 (2022) - [i27]Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. CoRR abs/2212.10417 (2022) - [i26]Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. CoRR abs/2212.10570 (2022) - [i25]Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. CoRR abs/2212.10707 (2022) - [i24]Gustavo Henrique de Rosa, João Paulo Papa:
A survey on text generation using generative adversarial networks. CoRR abs/2212.11119 (2022) - 2021
- [j103]Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa:
Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Appl. Soft Comput. 108: 107466 (2021) - [j102]Luis Antônio de Souza Júnior, Robert Mendel, Sophia Strasser, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João P. Papa, Christoph Palm:
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. Comput. Biol. Medicine 135: 104578 (2021) - [j101]Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva:
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Comput. Electron. Agric. 191: 106544 (2021) - [j100]Adriana S. Iwashita, Douglas Rodrigues, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. Comput. Electr. Eng. 95: 107389 (2021) - [j99]Gustavo Henrique de Rosa, João P. Papa:
A survey on text generation using generative adversarial networks. Pattern Recognit. 119: 108098 (2021) - [j98]Gustavo Henrique de Rosa, João P. Papa:
OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts 9: 100113 (2021) - [c146]Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme:
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) 2021: 4193-4201 - [c145]Robert Mendel, Luis Antônio de Souza Júnior, David Rauber, João Paulo Papa, Christoph Palm:
Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. Bildverarbeitung für die Medizin 2021: 178 - [c144]Luis Antônio de Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. Bildverarbeitung für die Medizin 2021: 205-210 - [c143]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP 2021: 99-108 - [c142]Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa:
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP 2021: 109-118 - [c141]Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa:
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. IGARSS 2021: 2843-2846 - [c140]Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa:
Deep Regressor Networks for Blind Image Deblurring. IGARSS 2021: 5390-5393 - [c139]Lucas Fernando Alvarenga e Silva, Daniel C. G. Pedronette, Fábio Augusto Faria, João P. Papa, Jurandy Almeida:
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. SIBGRAPI 2021: 168-175 - [c138]Danilo Samuel Jodas, Sergio Brazolin, Takashi Yojo, Reinaldo Araujo de Lima, Giuliana Del Nero Velasco, Aline Ribeiro Machado, João Paulo Papa:
A Deep Learning-based Approach for Tree Trunk Segmentation. SIBGRAPI 2021: 370-377 - [c137]Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette:
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI 2021: 378-385 - [c136]Paulo R. Galego Hernandes, Camila P. Floret, Katia F. Cardozo De Almeida, Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Phishing Detection Using URL-based XAI Techniques. SSCI 2021: 1-6 - [c135]Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa:
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI 2021: 1-8 - [c134]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI 2021: 1-8 - [e4]João Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12702, Springer 2021, ISBN 978-3-030-93419-4 [contents] - [i23]Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR abs/2101.01042 (2021) - [i22]Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang:
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR abs/2101.05652 (2021) - [i21]Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa:
O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CoRR abs/2101.05775 (2021) - [i20]Leandro Aparecido Passos, João Paulo Papa:
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR abs/2101.05795 (2021) - [i19]Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR abs/2101.06741 (2021) - [i18]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. CoRR abs/2101.06747 (2021) - [i17]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa:
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. CoRR abs/2101.06749 (2021) - [i16]Luis Antônio de Souza Júnior, Luis C. S. Afonso, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Robert Mendel, Christoph Palm, João P. Papa:
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis. CoRR abs/2101.07209 (2021) - [i15]Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. CoRR abs/2101.07713 (2021) - [i14]Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. CoRR abs/2102.07917 (2021) - [i13]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical Learning Using Deep Optimum-Path Forest. CoRR abs/2102.09312 (2021) - [i12]Gustavo Henrique de Rosa, João Paulo Papa:
Speeding Up OPFython with Numba. CoRR abs/2106.11828 (2021) - [i11]Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida:
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR abs/2109.02693 (2021) - [i10]Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR abs/2112.12713 (2021) - 2020
- [j97]Douglas Rodrigues, Victor Hugo C. de Albuquerque, João Paulo Papa:
A multi-objective artificial butterfly optimization approach for feature selection. Appl. Soft Comput. 94: 106442 (2020) - [j96]Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang:
A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. 94: 106453 (2020) - [j95]Leandro Aparecido Passos, João Paulo Papa:
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. 97(Part B): 105717 (2020) - [j94]Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque:
A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. 97(Part B): 106727 (2020) - [j93]Luis Antônio de Souza Júnior, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João P. Papa:
Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Comput. Biol. Medicine 126: 104029 (2020) - [j92]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu:
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 501 (2020) - [j91]Guilherme Brandão Martins, João Paulo Papa, Hojjat Adeli:
Deep learning techniques for recommender systems based on collaborative filtering. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j90]Marcos C. S. Santana, Leandro Aparecido Passos Júnior, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa:
A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. IEEE Intell. Syst. 35(1): 44-53 (2020) - [j89]Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa:
An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing 393: 259-268 (2020) - [j88]Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical learning using deep optimum-path forest. J. Vis. Commun. Image Represent. 71: 102823 (2020) - [j87]Guilherme Brandão Martins, Danillo Roberto Pereira, Jurandy Gomes de Almeida Junior, Victor Hugo C. de Albuquerque, João Paulo Papa:
OPFSumm: on the video summarization using Optimum-Path Forest. Multim. Tools Appl. 79(15-16): 11195-11211 (2020) - [j86]Danilo R. Pereira, Marco Antonio Piteri, André N. de Souza, João Paulo Papa, Hojjat Adeli:
FEMa: a finite element machine for fast learning. Neural Comput. Appl. 32(10): 6393-6404 (2020) - [j85]Danilo Colombo, Gilson Brito Alves Lima, Danillo Roberto Pereira, João P. Papa:
Regression-based finite element machines for reliability modeling of downhole safety valves. Reliab. Eng. Syst. Saf. 198: 106894 (2020) - [j84]Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? SN Comput. Sci. 1(5): 275 (2020) - [j83]Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque:
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. 28(12): 3076-3086 (2020) - [c133]Henrique Leal Tavares, João Baptista Cardia Neto, João Paulo Papa, Danilo Colombo, Aparecido Nilceu Marana:
People Identification Based on Soft Biometrics Features Obtained from 2D Poses. BRACIS 2020: 318-332 - [c132]Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa:
BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. CBMS 2020: 463-468 - [c131]Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa:
O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CBMS 2020: 498-503 - [c130]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve:
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC 2020: 1-8 - [c129]Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi:
Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC 2020: 1-8 - [c128]Robert Mendel, Luis Antônio de Souza, David Rauber, João Paulo Papa, Christoph Palm:
Semi-supervised Segmentation Based on Error-Correcting Supervision. ECCV (29) 2020: 141-157 - [c127]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa:
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. ICAISC (1) 2020: 231-241 - [c126]Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. ICAISC (1) 2020: 242-251 - [c125]Thiago José Lucas, Carlos Alexandre Carvalho Tojeiro, Rafael Goncalves Pires, Kelton Augusto Pontara da Costa, João Paulo Papa:
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. ICAISC (1) 2020: 535-546 - [c124]Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa:
Evolving Long Short-Term Memory Networks. ICCS (2) 2020: 337-350 - [c123]Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria:
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR 2020: 415-422 - [c122]Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. ICPR 2020: 2671-2676 - [c121]João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa:
Weakly Supervised Learning through Rank-based Contextual Measures. ICPR 2020: 5752-5759 - [c120]Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. IJCNN 2020: 1-8 - [c119]Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira:
Faster α-expansion via dynamic programming and image partitioning. IJCNN 2020: 1-8 - [c118]Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. SIBGRAPI 2020: 101-107 - [c117]Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa:
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. SIBGRAPI 2020: 108-115 - [c116]Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo:
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) 2020: 404-412 - [p5]Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa:
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. Deep Neural Evolution 2020: 67-96 - [p4]Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa:
Adaptive Improved Flower Pollination Algorithm for Global Optimization. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 1-21 - [d4]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa:
Learnergy: Energy-based Machine Learners. Zenodo, 2020
- [d3]Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. Zenodo, 2020 - [d2]Gustavo Henrique de Rosa, Douglas Rodrigues, João Paulo Papa:
Opytimizer: A Nature-Inspired Python Optimizer. Version v2.1.2. Zenodo, 2020 [all versions] - [i9]Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR abs/2001.10420 (2020) - [i8]Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa:
Learnergy: Energy-based Machine Learners. CoRR abs/2003.07443 (2020) - [i7]Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. CoRR abs/2007.13723 (2020)
2010 – 2019
- 2019
- [j82]Adriana S. Iwashita, João Paulo Papa:
An Overview on Concept Drift Learning. IEEE Access 7: 1532-1547 (2019) - [j81]Clayton R. Pereira, Danilo R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa:
A survey on computer-assisted Parkinson's Disease diagnosis. Artif. Intell. Medicine 95: 48-63 (2019) - [j80]Parham Khojasteh, Leandro A. Passos Junior, Tiago J. Carvalho, Edmar R. S. Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kant Kumar:
Exudate detection in fundus images using deeply-learnable features. Comput. Biol. Medicine 104: 62-69 (2019) - [j79]Luiz Carlos Felix Ribeiro, Luis Claudio Sugi Afonso, João P. Papa:
Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. Comput. Biol. Medicine 115 (2019) - [j78]Willian Paraguassu Amorim, Everton Castelao Tetila, Hemerson Pistori, João Paulo Papa:
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. Comput. Electron. Agric. 164 (2019) - [j77]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j76]Kelton A. P. da Costa, João P. Papa, Celso O. Lisboa, Roberto Muñoz, Victor Hugo C. de Albuquerque:
Internet of Things: A survey on machine learning-based intrusion detection approaches. Comput. Networks 151: 147-157 (2019) - [j75]Luis Claudio Sugi Afonso, Gustavo H. Rosa, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa:
A recurrence plot-based approach for Parkinson's disease identification. Future Gener. Comput. Syst. 94: 282-292 (2019) - [j74]Adriana S. Iwashita, Victor Hugo C. de Albuquerque, João Paulo Papa:
Learning concept drift with ensembles of optimum-path forest-based classifiers. Future Gener. Comput. Syst. 95: 198-211 (2019) - [j73]Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Gustavo H. Rosa, Victor Hugo C. de Albuquerque:
Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection. IET Networks 8(3): 164-168 (2019) - [j72]Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection. J. Artif. Intell. Soft Comput. Res. 9(1): 41-49 (2019) - [j71]Leandro A. Passos, Luis Antônio de Souza Júnior, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. J. Vis. Commun. Image Represent. 59: 475-485 (2019) - [j70]Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. Neural Comput. Appl. 31(S-2): 901-914 (2019) - [j69]Luís A. M. Pereira, João P. Papa, André L. V. Coelho, Clodoaldo Ap. M. Lima, Danillo Roberto Pereira, Victor Hugo C. de Albuquerque:
Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. Neural Comput. Appl. 31(S-2): 1317-1329 (2019) - [j68]Raniere Rocha Guimarães, Leandro A. Passos, Raimir Holanda Filho, Victor Hugo C. de Albuquerque, Joel J. P. C. Rodrigues, Mikhail M. Komarov, João Paulo Papa:
Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE Netw. 33(2): 126-131 (2019) - [j67]Silas Evandro Nachif Fernandes, João Paulo Papa:
Improving optimum-path forest learning using bag-of-classifiers and confidence measures. Pattern Anal. Appl. 22(2): 703-716 (2019) - [j66]Willian Paraguassu Amorim, Gustavo Henrique Rosa, Rogério Thomazella, José Eduardo Cogo Castanho, Fábio Romano Lofrano Dotto, Oswaldo Pons Rodrigues Júnior, Aparecido Nilceu Marana, João Paulo Papa:
Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern Recognit. Lett. 128: 16-22 (2019) - [j65]Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, Danilo S. Gastaldello, João P. Papa:
A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE Trans. Smart Grid 10(3): 3226-3235 (2019) - [c115]Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa:
Quaternion-Based Backtracking Search Optimization Algorithm. CEC 2019: 3014-3021 - [c114]Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Pooling Really Matter? An Evaluation on Gait Recognition. CIARP 2019: 751-760 - [c113]Rafael Goncalves Pires, Daniel Felipe Silva Santos, Gustavo Botelho de Souza, Alexandre L. M. Levada, João Paulo Papa:
A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. ICANN (Workshop) 2019: 471-482 - [c112]Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa:
Multiple-Instance Learning through Optimum-Path Forest. IJCNN 2019: 1-7 - [c111]Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa:
κ-Entropy Based Restricted Boltzmann Machines. IJCNN 2019: 1-8 - [c110]Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa:
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. SIBGRAPI 2019: 1-7 - [d1]Gustavo Henrique de Rosa, Douglas Rodrigues, João Paulo Papa:
Opytimizer: A Nature-Inspired Python Optimizer. Version v2.1.1. Zenodo, 2019 [all versions] - [i6]Gustavo Henrique de Rosa, João P. Papa:
Opytimizer: A Nature-Inspired Python Optimizer. CoRR abs/1912.13002 (2019) - 2018
- [j64]Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, João Paulo Papa, Osama Ahmad Alomari:
EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. IEEE Access 6: 76007-76024 (2018) - [j63]Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa:
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artif. Intell. Medicine 87: 67-77 (2018) - [j62]Luis Antônio de Souza, Christoph Palm, Robert Mendel, Christian Hook, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Silke A. T. Weber, João P. Papa:
A survey on Barrett's esophagus analysis using machine learning. Comput. Biol. Medicine 96: 203-213 (2018) - [j61]Danillo Roberto Pereira, João Paulo Papa, Gustavo Francisco Rosalin Saraiva, Gustavo Maia Souza:
Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. Comput. Electron. Agric. 145: 35-42 (2018) - [j60]João P. Papa, Gustavo H. Rosa, André N. de Souza, Luis Claudio Sugi Afonso:
Feature selection through binary brain storm optimization. Comput. Electr. Eng. 72: 468-481 (2018) - [j59]Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João P. Papa:
Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. 72: 1037-1041 (2018) - [j58]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [j57]Luiz Souza, Luciano Oliveira, Mauricio Pamplona, João P. Papa:
How far did we get in face spoofing detection? Eng. Appl. Artif. Intell. 72: 368-381 (2018) - [j56]Luis Claudio Sugi Afonso, Mateus Basso, Michelle Kuroda, Alexandre Campane Vidal, João P. Papa:
A fast approach for unsupervised karst feature identification using GPU. Comput. Geosci. 119: 1-8 (2018) - [j55]Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa:
Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. 465: 86-104 (2018) - [j54]Roberta B. Oliveira, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 29(3): 613-636 (2018) - [j53]Victor Hugo C. de Albuquerque, Thiago M. Nunes, Danillo Roberto Pereira, Eduardo José da S. Luz, David Menotti, João P. Papa, João Manuel R. S. Tavares:
Robust automated cardiac arrhythmia detection in ECG beat signals. Neural Comput. Appl. 29(3): 679-693 (2018) - [j52]Leandro Aparecido Passos, João Paulo Papa:
Temperature-Based Deep Boltzmann Machines. Neural Process. Lett. 48(1): 95-107 (2018) - [j51]Gustavo H. Rosa, João P. Papa, Xin-She Yang:
Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft Comput. 22(18): 6147-6156 (2018) - [j50]Caio C. O. Ramos, Douglas Rodrigues, André N. de Souza, João Paulo Papa:
On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. IEEE Trans. Smart Grid 9(2): 676-683 (2018) - [c109]Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, João Paulo Papa, Aparecido Nilceu Marana:
Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. BRACIS 2018: 230-235 - [c108]Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, João P. Papa, Osama Ahmad Alomari:
EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. CEC 2018: 1-8 - [c107]Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa:
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR 2018: 560-565 - [c106]Danillo Roberto Pereira, João P. Papa, Luciene P. Papa, Rodrigo Jose Pisani:
Land-Use Classification using Finite Element Machines. IGARSS 2018: 7316-7319 - [c105]Rogério Thomazella, José E. C. Castanho, Fébio R. L. Dotto, Oswaldo Pons Rodrigues Júnior, Gustavo Henrique Rosa, Aparecido Nilceu Marana, João P. Papa:
Environmental Monitoring Using Drone Images and Convolutional Neural Networks. IGARSS 2018: 8941-8944 - [c104]Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque:
Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN 2018: 1-6 - [c103]Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa:
Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN 2018: 1-8 - [c102]Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa:
Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI 2018: 183-188 - [c101]Luiz Fernandoda Silva Cieslak, Kelton Augusto Pontara da Costa, João Paulo Papa:
Seam Carving Detection Using Convolutional Neural Networks. SACI 2018: 195-200 - [c100]Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa:
Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. SACI 2018: 325-330 - [c99]Leandro A. Passos, Douglas Rodrigues, João P. Papa:
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI 2018: 419-424 - [c98]Luiz Carlos Felix Ribeiro, João Paulo Papa:
Unsupervised Dialogue Act Classification with Optimum-Path Forest. SIBGRAPI 2018: 25-32 - [c97]Luis Souza, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Robert Mendel, Christoph Palm:
Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. SIBGRAPI 2018: 166-173 - [c96]Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana:
On the Learning of Deep Local Features for Robust Face Spoofing Detection. SIBGRAPI 2018: 258-265 - [e3]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i5]Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana:
On the Learning of Deep Local Features for Robust Face Spoofing Detection. CoRR abs/1806.07492 (2018) - 2017
- [j49]João Paulo Papa, Gustavo H. Rosa, Danillo Roberto Pereira, Xin-She Yang:
Quaternion-based Deep Belief Networks fine-tuning. Appl. Soft Comput. 60: 328-335 (2017) - [j48]Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João Paulo Papa:
Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. 62: 64-67 (2017) - [j47]Douglas Rodrigues, João P. Papa, Hojjat Adeli:
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. Expert Syst. J. Knowl. Eng. 34(6) (2017) - [j46]Samuel Luz Gomes, Elizângela de S. Rebouças, Edson Cavalcanti Neto, João P. Papa, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, João Manuel R. S. Tavares:
Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural Comput. Appl. 28(S-1): 573-584 (2017) - [j45]João Paulo Papa, Ryan Farrell:
Editorial: Special Section on deep image and video understanding. Pattern Recognit. 61: 537-538 (2017) - [j44]João Paulo Papa, Silas Evandro Nachif Fernandes, Alexandre Xavier Falcão:
Optimum-Path Forest based on k-connectivity: Theory and applications. Pattern Recognit. Lett. 87: 117-126 (2017) - [j43]João Paulo Papa, Gustavo Henrique Rosa, Luciene P. Papa:
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. Pattern Recognit. Lett. 100: 59-66 (2017) - [j42]Danillo Roberto Pereira, Rodrigo Jose Pisani, André N. de Souza, João P. Papa:
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1525-1541 (2017) - [j41]Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Texture Features for Robust Face Spoofing Detection. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12): 1397-1401 (2017) - [c95]Luis Souza, Christian Hook, João Paulo Papa, Christoph Palm:
Barrett's Esophagus Analysis Using SURF Features. Bildverarbeitung für die Medizin 2017: 141-146 - [c94]Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang:
Quaternionic Flower Pollination Algorithm. CAIP (2) 2017: 47-58 - [c93]Clayton R. Pereira, Leandro A. Passos, Ricardo R. Lopes, Silke A. T. Weber, Christian Hook, João Paulo Papa:
Parkinson's Disease Identification Using Restricted Boltzmann Machines. CAIP (2) 2017: 70-80 - [c92]Leandro A. Passos Junior, Kelton A. P. Costa, João P. Papa:
Deep Boltzmann Machines Using Adaptive Temperatures. CAIP (1) 2017: 172-183 - [c91]Rafael Goncalves Pires, Silas Evandro Nachif Fernandes, João Paulo Papa:
Blur Parameter Identification Through Optimum-Path Forest. CAIP (2) 2017: 230-240 - [c90]Rafael Goncalves Pires, Daniel F. S. Santos, Gustavo Botelho de Souza, Aparecido Nilceu Marana, Alexandre L. M. Levada, João Paulo Papa:
A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. CIARP 2017: 525-533 - [c89]Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João P. Papa:
Efficient Transfer Learning for Robust Face Spoofing Detection. CIARP 2017: 643-651 - [c88]Luis Claudio Sugi Afonso, Danillo Roberto Pereira, João P. Papa:
A Kernel-Based Optimum-Path Forest Classifier. CIARP 2017: 652-660 - [c87]Gustavo H. Rosa, João Paulo Papa, Luciene P. Papa:
Feature selection using geometric semantic genetic programming. GECCO (Companion) 2017: 253-254 - [c86]Silas Evandro Nachif Fernandes, João Paulo Papa:
Pruning optimum-path forest ensembles using quaternion-based optimization. IJCNN 2017: 984-991 - [c85]Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Boltzmann machines for robust fingerprint spoofing attack detection. IJCNN 2017: 1863-1870 - [c84]Danillo Roberto Pereira, João P. Papa, André N. de Souza:
FEMaR: A finite element machine for regression problems. IJCNN 2017: 2751-2757 - [c83]Patricia B. Ribeiro, João P. Papa, Roseli A. F. Romero:
An ensemble-based approach for breast mass classification in mammography images. Computer-Aided Diagnosis 2017: 101342N - [c82]Leandro Aparecido Passos, João Paulo Papa:
Fine-Tuning Infinity Restricted Boltzmann Machines. SIBGRAPI 2017: 63-70 - [c81]Douglas Rodrigues, André Nunes de Souza, João Paulo Papa:
Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization. SIBGRAPI 2017: 127-133 - [c80]Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, Silke Anna Theresa Weber, Christian Hook, João Paulo Papa:
Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering. SIBGRAPI 2017: 163-169 - [c79]Luis Antônio de Souza, Luis Claudio Sugi Afonso, Christoph Palm, João Paulo Papa:
Barrett's Esophagus Identification Using Optimum-Path Forest. SIBGRAPI 2017: 308-314 - [c78]Rafael Goncalves Pires, Daniel Felipe Silva Santos, Luís A. M. Pereira, Gustavo Botelho de Souza, Alexandre Luis Magalhaes Levada, João Paulo Papa:
A Robust Restricted Boltzmann Machine for Binary Image Denoising. SIBGRAPI 2017: 390-396 - [e2]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - [i4]João Paulo Papa, Gustavo Henrique Rosa, Douglas Rodrigues, Xin-She Yang:
LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques. CoRR abs/1704.05174 (2017) - [i3]Luiz Souza, Mauricio Pamplona, Luciano Oliveira, João P. Papa:
How far did we get in face spoofing detection? CoRR abs/1710.09868 (2017) - 2016
- [j40]João Paulo Papa, Walter J. Scheirer, David Daniel Cox:
Fine-tuning Deep Belief Networks using Harmony Search. Appl. Soft Comput. 46: 875-885 (2016) - [j39]Danillo Roberto Pereira, Mario A. Pazoti, Luís A. M. Pereira, Douglas Rodrigues, Caio C. O. Ramos, André N. de Souza, João P. Papa:
Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. Comput. Electr. Eng. 49: 25-38 (2016) - [j38]Victor Hugo C. de Albuquerque, Plácido Rogério Pinheiro, João Paulo Papa, João Manuel R. S. Tavares, Ronaldo Parente de Menezes, Carlos A. S. Oliveira:
Recent Advances in Brain Signal Analysis: Methods and Applications. Comput. Intell. Neurosci. 2016: 2742943:1-2742943:2 (2016) - [j37]Roberta B. Oliveira, Mercedes E. Filho, Zhen Ma, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Computational methods for the image segmentation of pigmented skin lesions: A review. Comput. Methods Programs Biomed. 131: 127-141 (2016) - [j36]Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, João P. Masieiro, Silke A. T. Weber, Christian Hook, João P. Papa:
A new computer vision-based approach to aid the diagnosis of Parkinson's disease. Comput. Methods Programs Biomed. 136: 79-88 (2016) - [j35]Douglas Rodrigues, Gabriel F. A. Silva, João P. Papa, Aparecido Nilceu Marana, Xin-She Yang:
EEG-based person identification through Binary Flower Pollination Algorithm. Expert Syst. Appl. 62: 81-90 (2016) - [j34]Daniel Osaku, Danillo Roberto Pereira, Alexandre L. M. Levada, João Paulo Papa:
Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. IEEE Geosci. Remote. Sens. Lett. 13(5): 735-739 (2016) - [j33]Rafael Goncalves Pires, Danillo Roberto Pereira, Luís A. M. Pereira, Alex F. Mansano, João P. Papa:
Projections onto convex sets parameter estimation through harmony search and its application for image restoration. Nat. Comput. 15(3): 493-502 (2016) - [j32]Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa, Marcelo Henriques de Carvalho:
Improving semi-supervised learning through optimum connectivity. Pattern Recognit. 60: 72-85 (2016) - [j31]Danillo Roberto Pereira, João Paulo Papa:
A new approach to contextual learning using interval arithmetic and its applications for land-use classification. Pattern Recognit. Lett. 83: 188-194 (2016) - [j30]João Paulo Papa, Luciene P. Papa, Danillo Roberto Pereira, Rodrigo Jose Pisani:
A Hyperheuristic Approach for Unsupervised Land-Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2333-2342 (2016) - [c77]Ricardo R. Lopes, Kelton A. P. Costa, João P. Papa:
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification. ANNPR 2016: 117-125 - [c76]João P. Papa, Danillo Roberto Pereira, Alexandro Baldassin, Xin-She Yang:
On the Harmony Search Using Quaternions. ANNPR 2016: 126-137 - [c75]Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang:
Learning Parameters in Deep Belief Networks Through Firefly Algorithm. ANNPR 2016: 138-149 - [c74]Aldo Culquicondor, César Castelo-Fernández, João Paulo Papa:
A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning. CIARP 2016: 192-199 - [c73]Daniel Osaku, Alexandre L. M. Levada, João Paulo Papa:
A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. ISCAS 2016: 994-997 - [c72]Guilherme Brandão Martins, João Paulo Papa, Jurandy Almeida:
Temporal-and Spatial-Driven Video Summarization Using Optimum-Path Forest. SIBGRAPI 2016: 335-339 - [c71]Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Gustavo H. Rosa, João Paulo Papa:
Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics. SIBGRAPI 2016: 340-346 - [c70]Luis Claudio Sugi Afonso, Alexandre Campane Vidal, Michelle Kuroda, Alexandre Xavier Falcão, João Paulo Papa:
Learning to Classify Seismic Images with Deep Optimum-Path Forest. SIBGRAPI 2016: 401-407 - [p3]João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares:
Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 109-123 - [p2]Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang:
Convolutional Neural Networks Applied for Parkinson's Disease Identification. Machine Learning for Health Informatics 2016: 377-390 - [e1]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - [i2]Leandro A. Passos Junior, João Paulo Papa:
Temperature-Based Deep Boltzmann Machines. CoRR abs/1608.07719 (2016) - [i1]Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, João Paulo Papa:
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. CoRR abs/1609.00878 (2016) - 2015
- [j29]Danillo Roberto Pereira, José Delpiano, João Paulo Papa:
On the optical flow model selection through metaheuristics. EURASIP J. Image Video Process. 2015: 11 (2015) - [j28]Kelton A. P. Costa, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Clayton R. Pereira, João P. Papa, Alexandre Xavier Falcão:
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. Inf. Sci. 294: 95-108 (2015) - [j27]Daniel Osaku, Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Rodrigo Jose Pisani, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão, João Paulo Papa:
Improving land cover classification through contextual-based optimum-path forest. Inf. Sci. 324: 60-87 (2015) - [j26]João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox:
Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques. J. Comput. Sci. 9: 14-18 (2015) - [j25]Victor Hugo C. de Albuquerque, Cleisson V. Barbosa, Cleiton C. Silva, Elineudo P. de Moura, Pedro Pedrosa Rebouças Filho, João P. Papa, João Manuel R. S. Tavares:
Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy. Sensors 15(6): 12474-12497 (2015) - [c69]Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, Christian Hook, Silke A. T. Weber, Luís A. M. Pereira, João Paulo Papa:
A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements. CBMS 2015: 171-176 - [c68]Patricia B. Ribeiro, Leandro A. Passos Junior, Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Roseli A. F. Romero:
Unsupervised Breast Masses Classification through Optimum-Path Forest. CBMS 2015: 238-243 - [c67]Silas Evandro Nachif Fernandes, Walter J. Scheirer, David D. Cox, João Paulo Papa:
Improving Optimum-Path Forest Classification Using Confidence Measures. CIARP 2015: 619-625 - [c66]Gustavo H. Rosa, João Paulo Papa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox:
Fine-Tuning Convolutional Neural Networks Using Harmony Search. CIARP 2015: 683-690 - [c65]Guilherme Brandão Martins, Jurandy Almeida, João Paulo Papa:
Supervised Video Genre Classification Using Optimum-Path Forest. CIARP 2015: 735-742 - [c64]João P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox:
On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search. GECCO (Companion) 2015: 1449-1450 - [c63]Dheny Fernandes, Kelton A. P. da Costa, Tiago A. Almeida, João Paulo Papa:
SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. ICMLA 2015: 133-137 - [c62]Kelton A. P. da Costa, Luis Alexandre da Silva, Guilherme Brandão Martins, Gustavo H. Rosa, Clayton R. Pereira, João Paulo Papa:
Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest. ICMLA 2015: 754-759 - [c61]João Paulo Papa, Luciene P. Papa, Rodrigo Pisani, Danillo Roberto Pereira:
Unsupervised land-cover classification through hyper-heuristic-based Harmony Search. IGARSS 2015: 69-72 - [c60]Danillo Roberto Pereira, Rodrigo Pisani, Rodrigo Nakamura, João Paulo Papa:
Land-cover classification through sequential learning-based optimum-path forest. IGARSS 2015: 76-79 - [c59]Douglas Rodrigues, Caio Cesar Oba Ramos, André Nunes de Souza, João Paulo Papa:
Black Hole Algorithm for non-technical losses characterization. LASCAS 2015: 1-4 - [p1]Douglas Rodrigues, Xin-She Yang, André Nunes de Souza, João Paulo Papa:
Binary Flower Pollination Algorithm and Its Application to Feature Selection. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 85-100 - 2014
- [j24]Douglas Rodrigues, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, Xin-She Yang, André N. de Souza, João Paulo Papa:
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. Expert Syst. Appl. 41(5): 2250-2258 (2014) - [j23]Thiago M. Nunes, André L. V. Coelho, Clodoaldo Ap. M. Lima, João P. Papa, Victor Hugo C. de Albuquerque:
EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment. Neurocomputing 136: 103-123 (2014) - [j22]Adriana S. Iwashita, João Paulo Papa, André N. de Souza, Alexandre X. Falcão, Roberto A. Lotufo, V. M. Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern Recognit. Lett. 40: 121-127 (2014) - [j21]Rodrigo Y. M. Nakamura, Leila Maria Garcia Fonseca, Jefersson Alex dos Santos, Ricardo da Silva Torres, Xin-She Yang, João P. Papa:
Nature-Inspired Framework for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 52(4): 2126-2137 (2014) - [j20]Rodrigo Jose Pisani, Rodrigo Yuji Mizobe Nakamura, Paulina Setti Riedel, Célia Regina Lopes Zimback, Alexandre Xavier Falcão, João Paulo Papa:
Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest. IEEE Trans. Geosci. Remote. Sens. 52(10): 6075-6085 (2014) - [c58]Luís A. M. Pereira, Douglas Rodrigues, Patricia B. Ribeiro, João Paulo Papa, Silke A. T. Weber:
Social-Spider Optimization-Based Artificial Neural Networks Training and Its Applications for Parkinson's Disease Identification. CBMS 2014: 14-17 - [c57]Patricia B. Ribeiro, Kelton A. P. da Costa, João Paulo Papa, Roseli A. Francelin Romero:
Optimum-Path Forest Applied for Breast Masses Classification. CBMS 2014: 52-55 - [c56]Daniel Osaku, Alexandre L. M. Levada, João P. Papa:
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. CIARP 2014: 462-469 - [c55]Guilherme Brandão Martins, Luis Claudio Sugi Afonso, Daniel Osaku, Jurandy Almeida, João P. Papa:
Static Video Summarization through Optimum-Path Forest Clustering. CIARP 2014: 893-900 - [c54]Diego Roberto Colombo Dias, José Remo Ferreira Brega, Luis Carlos Trevelin, Bruno Barberi Gnecco, João Paulo Papa, Marcelo de Paiva Guimarães:
3D Network Traffic Monitoring Based on an Automatic Attack Classifier. ICCSA (2) 2014: 342-351 - [c53]Douglas Rodrigues, Luís A. M. Pereira, João Paulo Papa, Silke A. T. Weber:
A Binary Krill Herd Approach for Feature Selection. ICPR 2014: 1407-1412 - [c52]Gustavo H. Rosa, Kelton A. P. Costa, Leandro A. Passos Junior, João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares:
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering. ICPR 2014: 1472-1477 - [c51]Danillo Roberto Pereira, José Delpiano, João Paulo Papa:
Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments. SIBGRAPI 2014: 125-132 - [c50]Silas Evandro Nachif Fernandes, André Luiz Pilastri, Luís A. M. Pereira, Rafael Goncalves Pires, João Paulo Papa:
Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid. SIBGRAPI 2014: 259-265 - [c49]Danillo Roberto Pereira, Mario A. Pazoti, Luís A. M. Pereira, João Paulo Papa:
A social-spider optimization approach for support vector machines parameters tuning. SIS 2014: 8-13 - [c48]Adriana S. Iwashita, Marcos V. T. Romero, Alexandro Baldassin, Kelton A. P. Costa, João P. Papa:
Training Optimum-Path Forest on Graphics Processing Units. VISAPP (2) 2014: 581-588 - [c47]Marcos V. T. Romero, Adriana S. Iwashita, Luciene P. Papa, André N. de Souza, João P. Papa:
Fast Optimum-Path Forest Classification on Graphics Processors. VISAPP (2) 2014: 627-631 - 2013
- [j19]João P. Papa, Rodrigo Y. M. Nakamura, Victor Hugo C. de Albuquerque, Alexandre X. Falcão, João Manuel R. S. Tavares:
Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials. Expert Syst. Appl. 40(2): 590-597 (2013) - [j18]Thiago M. Nunes, Victor Hugo C. de Albuquerque, João P. Papa, Cleiton C. Silva, Paulo G. Normando, Elineudo P. de Moura, João Manuel R. S. Tavares:
Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals. Expert Syst. Appl. 40(8): 3096-3105 (2013) - [j17]Eduardo José da S. Luz, Thiago M. Nunes, Victor Hugo C. de Albuquerque, João P. Papa, David Menotti:
ECG arrhythmia classification based on optimum-path forest. Expert Syst. Appl. 40(9): 3561-3573 (2013) - [j16]Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão, João P. Papa, Sumie Hoshino-Shimizu:
Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images. IEEE Trans. Biomed. Eng. 60(3): 803-812 (2013) - [c46]Daniel Osaku, Rodrigo Nakamura, João Paulo Papa, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão:
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. ACIVS 2013: 203-214 - [c45]Rodrigo Nakamura, Daniel Osaku, Alexandre L. M. Levada, Fabio Augusto Cappabianco, Alexandre X. Falcão, João Paulo Papa:
OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. CAIP (2) 2013: 233-240 - [c44]Douglas Rodrigues, Luís A. M. Pereira, João P. Papa, Caio C. O. Ramos, André N. de Souza, Luciene P. Papa:
Optimizing Feature Selection through Binary Charged System Search. CAIP (1) 2013: 377-384 - [c43]Luís A. M. Pereira, João Paulo Papa, André N. de Souza:
Harmony search applied for support vector machines training optimization. EUROCON 2013: 998-1002 - [c42]Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão, Sumie Hoshino-Shimizu, João Paulo Papa:
Automated diagnosis of human intestinal parasites using optical microscopy images. ISBI 2013: 460-463 - [c41]Douglas Rodrigues, Luís A. M. Pereira, T. N. S. Almeida, João Paulo Papa, André N. de Souza, Caio C. O. Ramos, Xin-She Yang:
BCS: A Binary Cuckoo Search algorithm for feature selection. ISCAS 2013: 465-468 - [c40]Rafael Goncalves Pires, Luís A. M. Pereira, Alex F. Mansano, João P. Papa:
A hybrid image restoration algorithm based on Projections Onto Convex Sets and Harmony Search. ISCAS 2013: 2824-2827 - [c39]Luís A. M. Pereira, João Paulo Papa, Jurandy Almeida, Ricardo da Silva Torres, Willian Paraguassu Amorim:
A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification. SIBGRAPI 2013: 334-340 - 2012
- [j15]André N. de Souza, Pedro da Costa Jr., Paulo S. da Silva, Caio C. O. Ramos, João P. Papa:
Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest. Appl. Artif. Intell. 26(5): 503-515 (2012) - [j14]Rodrigo Minetto, Thiago Vallin Spina, Alexandre X. Falcão, Neucimar Jerônimo Leite, João Paulo Papa, Jorge Stolfi:
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform. Comput. Vis. Image Underst. 116(2): 274-291 (2012) - [j13]Clayton R. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, João P. Papa:
An Optimum-Path Forest framework for intrusion detection in computer networks. Eng. Appl. Artif. Intell. 25(6): 1226-1234 (2012) - [j12]Anderson Rocha, João Paulo Papa, Luis A. A. Meira:
How Far do We Get Using Machine Learning Black-Boxes? Int. J. Pattern Recognit. Artif. Intell. 26(2) (2012) - [j11]João P. Papa, Alexandre X. Falcão, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
Efficient supervised optimum-path forest classification for large datasets. Pattern Recognit. 45(1): 512-520 (2012) - [c38]Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, Luís A. M. Pereira, João Paulo Papa:
Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks. CASoN 2012: 181-185 - [c37]Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Optimum-Path Forest Classifier for Large Scale Biometric Applications. EST 2012: 58-61 - [c36]Luis Claudio Sugi Afonso, João Paulo Papa, Luciene P. Papa, Aparecido Nilceu Marana, Anderson Rocha:
Automatic visual dictionary generation through Optimum-Path Forest clustering. ICIP 2012: 1897-1900 - [c35]Adriana S. Iwashita, João P. Papa, Alexandre X. Falcão, Roberto A. Lotufo, Victor M. de Araujo Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
Speeding up optimum-path forest training by path-cost propagation. ICPR 2012: 1233-1236 - [c34]Rodrigo Nakamura, João Paulo Papa, Leila M. G. Fonseca, Jefersson Alex dos Santos, Ricardo da Silva Torres:
Hyperspectral band selection through Optimum-Path Forest and evolutionary-based algorithms. IGARSS 2012: 3066-3069 - [c33]Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, João P. Papa:
Automatic landslide recognition through Optimum-Path Forest. IGARSS 2012: 6228-6231 - [c32]Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich:
A fast large scale iris database classification with Optimum-Path Forest technique: A case study. IJCNN 2012: 1-5 - [c31]Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa:
Intrusion detection in computer networks using Optimum-Path Forest clustering. LCN 2012: 128-131 - [c30]Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Kelton A. P. Costa, Douglas Rodrigues, João P. Papa, Xin-She Yang:
BBA: A Binary Bat Algorithm for Feature Selection. SIBGRAPI 2012: 291-297 - [c29]Alex F. Mansano, J. A. Matsuoka, Luis Claudio Sugi Afonso, João P. Papa, Fábio Augusto Faria, Ricardo da Silva Torres:
Improving Image Classification through Descriptor Combination. SIBGRAPI 2012: 324-329 - 2011
- [j10]Caio C. O. Ramos, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão, João P. Papa:
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. Comput. Electr. Eng. 37(6): 886-894 (2011) - [j9]Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João Paulo Papa, Giovani Chiachia, Luis Claudio Sugi Afonso, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres:
Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques. Eng. Appl. Artif. Intell. 24(1): 201-207 (2011) - [c28]Moacir P. Ponti Jr., João Paulo Papa, Alexandre L. M. Levada:
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. CIARP 2011: 581-590 - [c27]João P. Papa, Mario E. M. Gutierrez, Rodrigo Y. M. Nakamura, Luciene P. Papa, Irene B. F. Vicentini, Carlos A. Vicentini:
Automatic classification of fish germ cells through optimum-path forest. EMBC 2011: 5084-5087 - [c26]André Augusto Spadoto, Rodrigo Capobianco Guido, Felipe L. Carnevali, Andre F. Pagnin, Alexandre X. Falcão, João P. Papa:
Improving Parkinson's disease identification through evolutionary-based feature selection. EMBC 2011: 7857-7860 - [c25]João Paulo Papa, Andre Pagnin, Silvana Artioli Schellini, André Augusto Spadotto, Rodrigo Capobianco Guido, Moacir P. Ponti Jr., Giovani Chiachia, Alexandre X. Falcão:
Feature selection through gravitational search algorithm. ICASSP 2011: 2052-2055 - [c24]Daniel Osaku, Aparecido Nilceu Marana, João Paulo Papa:
A Graph-Based Framework for Thermal Faceprint Characterization. ICIAP (1) 2011: 169-177 - [c23]João Paulo Papa, Anderson Rocha:
Image categorization through optimum path forest and visual words. ICIP 2011: 3525-3528 - [c22]Rodrigo Pisani, Paulina Riedel, Mateus Ferreira, Mara Marques, Rodrigo Mizobe, João P. Papa:
Land use image classification through Optimum-Path Forest Clustering. IGARSS 2011: 826-829 - [c21]Rodrigo Pisani, Paulina Riedel, Alessandra Rodrigues Gomes, Rodrigo Yuji Mizobe, João P. Papa:
Is it possible to make pixel-based radar image classification user-friendly? IGARSS 2011: 4304-4307 - [c20]Caio C. O. Ramos, João Paulo Papa, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão:
What is the importance of selecting features for non-technical losses identification? ISCAS 2011: 1045-1048 - [c19]Caio Miguel Marques, Ivan Rizzo Guilherme, Rodrigo Y. M. Nakamura, João P. Papa:
New Trends in Musical Genre Classification Using Optimum-Path Forest. ISMIR 2011: 699-704 - [c18]João P. Papa, Clayton R. Pereira, Victor Hugo C. de Albuquerque, Cleiton C. Silva, Alexandre X. Falcão, João Manuel R. S. Tavares:
Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques. IWCIA 2011: 456-468 - [c17]Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, Kelton A. P. Costa:
Intrusion detection system using Optimum-Path Forest. LCN 2011: 183-186 - [c16]Moacir P. Ponti Jr., João P. Papa:
Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. MCS 2011: 237-248 - [c15]Rodrigo Nakamura, Clayton R. Pereira, João Paulo Papa, Alexandre X. Falcão:
Optimum-Path Forest Pruning Parameter Estimation through Harmony Search. SIBGRAPI 2011: 181-188 - 2010
- [j8]Alexander I. Iliev, Michael S. Scordilis, João P. Papa, Alexandre X. Falcão:
Spoken emotion recognition through optimum-path forest classification using glottal features. Comput. Speech Lang. 24(3): 445-460 (2010) - [j7]Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João P. Papa, Giovani Chiachia, Alexandre X. Falcão, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres:
Fast Petroleum Well Drilling Monitoring Through Optimum-Path Forest. J. Next Gener. Inf. Technol. 1(1): 77-85 (2010) - [j6]João Paulo Papa, Alexandre Xavier Falcão, Greice Martins de Freitas, Ana Maria Heuminski de Ávila:
Robust Pruning of Training Patterns for Optimum-Path Forest Classification Applied to Satellite-Based Rainfall Occurrence Estimation. IEEE Geosci. Remote. Sens. Lett. 7(2): 396-400 (2010) - [j5]João P. Papa, Leila Maria Garcia Fonseca, Lino Augusto Sander de Carvalho:
Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration. Pattern Recognit. Lett. 31(13): 1876-1886 (2010) - [c14]César Castelo-Fernández, Pedro J. de Rezende, Alexandre X. Falcão, João Paulo Papa:
Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets. CIARP 2010: 467-475 - [c13]João Paulo Papa, Victor Hugo C. de Albuquerque, Alexandre X. Falcão, João Manuel R. S. Tavares:
Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forest. CompIMAGE 2010: 210-220 - [c12]João Paulo Papa, Aparecido Nilceu Marana, André Augusto Spadotto, Rodrigo Capobianco Guido, Alexandre X. Falcão:
Robust and fast Vowel Recognition Using Optimum-Path Forest. ICASSP 2010: 2190-2193 - [c11]João P. Papa, Fabio A. M. Cappabianco, Alexandre X. Falcão:
Optimizing Optimum-Path Forest Classification for Huge Datasets. ICPR 2010: 4162-4165 - [c10]Anderson Rocha, João Paulo Papa, Luis A. A. Meira:
How Far You Can Get Using Machine Learning Black-Boxes. SIBGRAPI 2010: 193-200
2000 – 2009
- 2009
- [j4]João P. Papa, Alexandre X. Falcão, Celso T. N. Suzuki:
Supervised pattern classification based on optimum-path forest. Int. J. Imaging Syst. Technol. 19(2): 120-131 (2009) - [j3]Ricardo da Silva Torres, Alexandre X. Falcão, Marcos André Gonçalves, João P. Papa, Baoping Zhang, Weiguo Fan, Edward A. Fox:
A genetic programming framework for content-based image retrieval. Pattern Recognit. 42(2): 283-292 (2009) - [c9]Greice Martins de Freitas, Ana Maria Heuminski de Ávila, João Paulo Papa:
Satellite-Based Rainfall Estimation through Semi-supervised Learning. CSIE (6) 2009: 1-5 - [c8]João P. Papa, Alexandre X. Falcão:
A Learning Algorithm for the Optimum-Path Forest Classifier. GbRPR 2009: 195-204 - [c7]João P. Papa, Alexandre X. Falcão, Alexandre L. M. Levada, Débora C. Corrêa, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas:
Fast and accurate holistic face recognition using Optimum-Path Forest. DPS 2009: 1-6 - [c6]João P. Papa, Alexandre X. Falcão:
On the Training Patterns Pruning for Optimum-Path Forest. ICIAP 2009: 259-268 - [c5]Javier A. Montoya-Zegarra, João P. Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão:
Novel Approaches for Exclusive and Continuous Fingerprint Classification. PSIVT 2009: 386-397 - 2008
- [j2]André Augusto Spadotto, João Paulo Papa, Ana Rita Gatto, Paula Cristina Cola, Jose Carlos Pereira, Rodrigo Capobianco Guido, Arthur Oscar Schelp, Carlos Dias Maciel, Arlindo Neto Montagnoli:
Denoising swallowing sound to improve the evaluator's qualitative analysis. Comput. Electr. Eng. 34(2): 148-153 (2008) - [j1]Javier A. Montoya-Zegarra, João Paulo Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão:
Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images. EURASIP J. Adv. Signal Process. 2008 (2008) - [c4]João P. Papa, Alexandre X. Falcão:
A New Variant of the Optimum-Path Forest Classifier. ISVC (1) 2008: 935-944 - [c3]João P. Papa, Alexandre X. Falcão, Celso T. N. Suzuki, Nelson D. A. Mascarenhas:
A Discrete Approach for Supervised Pattern Recognition. IWCIA 2008: 136-147 - 2007
- [c2]João P. Papa, Alexandre X. Falcão, Paulo A. V. Miranda, Celso T. N. Suzuki, Nelson D. A. Mascarenhas:
Design of robust pattern classifiers based on optimum-path forests. ISMM (1) 2007: 337-348 - [c1]Javier A. Montoya-Zegarra, João P. Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão:
Rotation-Invariant Texture Recognition. ISVC (2) 2007: 193-204
Coauthor Index
Luis C. S. Afonso
aka: Luis Claudio Sugi Afonso
aka: Luis Claudio Sugi Afonso
Jurandy Almeida
aka: Jurandy Gomes de Almeida Junior
aka: Jurandy Gomes de Almeida Junior
Alexandre X. Falcão
aka: Alexandre Xavier Falcão
aka: Alexandre Xavier Falcão
Danilo Samuel Jodas
aka: Danilo S. Jodas
aka: Danilo S. Jodas
Leandro A. Passos Junior
aka: Leandro A. Passos
aka: Leandro Aparecido Passos
aka: Leandro Aparecido Passos Júnior
aka: Leandro A. Passos
aka: Leandro Aparecido Passos
aka: Leandro Aparecido Passos Júnior
[j136] [j134] [j133] [j132] [j130] [j129] [j128] [c190] [c189] [c188] [c186] [c185] [c183] [c176] [i51] [j123] [j122] [j120] [j119] [j116] [c173] [c170] [c169] [c168] [c163] [c161] [i48] [i46] [j108] [c159] [c158] [c156] [c155] [c153] [c150] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i31] [i30] [i28] [j103] [c144] [c142] [c141] [c140] [c135] [i21] [i20] [i18] [i17] [j95] [j94] [j93] [j90] [j83] [c131] [c129] [c127] [c126] [c124] [p5] [p4] [j80] [j71] [j68] [c115] [c111] [j52] [c102] [c100] [c99] [c93] [c92] [c82] [c75] [i2] [c68] [c52]
Alexandre L. M. Levada
aka: Alexandre Luis Magalhaes Levada
aka: Alexandre Luis Magalhaes Levada
Pedro H. Paiola
aka: Pedro Henrique Paiola
aka: Pedro Henrique Paiola
Daniel C. G. Pedronette
aka: Daniel Carlos Guimarães Pedronette
aka: Daniel Carlos Guimarães Pedronette
Clayton Reginaldo Pereira
aka: Clayton R. Pereira
aka: Clayton R. Pereira
Rafael Goncalves Pires
aka: Rafael Gonçalves Pires
aka: Rafael Gonçalves Pires
Rodrigo Pisani
aka: Rodrigo Jose Pisani
aka: Rodrigo Jose Pisani
Caio C. O. Ramos
aka: Caio Cesar Oba Ramos
aka: Caio Cesar Oba Ramos
[j136] [j134] [c165] [i48] [j112] [j105] [j104] [c160] [i43] [i37] [i31] [i29] [i24] [j103] [j99] [j98] [c143] [c142] [c137] [c135] [c134] [i23] [i22] [i19] [i12] [j96] [c130] [c129] [c123] [p5] [p4] [d4] [d3] [d2] [i9] [i8] [j75] [j73] [j66] [d1] [i6] [j63] [j60] [j51] [c105] [c104] [j49] [j43] [c94] [c87] [i4] [c75] [c71] [p2] [j26] [c66] [c64] [c62] [c52] [c33]
Claudio Filipi Goncalves dos Santos
aka: Claudio Filipi Gonçalves dos Santos
aka: Cláudio F. G. Santos
aka: Claudio Filipi Gonçalves dos Santos
aka: Cláudio F. G. Santos
Daniel Felipe Silva Santos
aka: Daniel F. S. Santos
aka: Daniel F. S. Santos
André N. de Souza
aka: André Nunes de Souza
aka: André Nunes de Souza
Silke A. T. Weber
aka: Silke Anna Theresa Weber
aka: Silke Anna Theresa Weber
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