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2020 – today
- 2024
[j82]Rodrigo Fernandes
, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. IEEE Access 12: 79428-79444 (2024)- [j81]Fredson C. Rodrigues, Darlan B. P. Quintanilha, Anselmo Cardoso de Paiva, Aristófanes C. Silva, João Dallyson Sousa de Almeida, Geraldo Braz Junior:
Deep learning for detecting dilated or contracted pupils. Biomed. Signal Process. Control. 94: 106360 (2024) - [j80]Helano Miguel B. F. Portela, Rodrigo M. S. Veras, Luis H. S. Vogado, Daniel Leite, Paulo E. Ambrósio, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - [j79]Ricardo Teles Freitas, Kelson Rômulo Teixeira Aires, Anselmo Cardoso de Paiva, Rodrigo M. S. Veras, Pedro L. M. Soares:
A CNN-based multi-level face alignment approach for mitigating demographic bias in clinical populations. Comput. Stat. 39(5): 2557-2579 (2024) - [j78]Anderson Almeida Firmino, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva:
Improving hate speech detection using Cross-Lingual Learning. Expert Syst. Appl. 235: 121115 (2024) - [j77]Weslley K. R. Figueredo, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Alice Brandão, Marco Aurelio Pinho Oliveira:
Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning. Image Vis. Comput. 151: 105261 (2024) - [c86]Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Anselmo Cardoso de Paiva, António Cunha:
A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images. ICEIS (1) 2024: 530-540 - [c85]Victor Rogério Sousa Ferreira, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Francesco Renna:
Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images. ICEIS (1) 2024: 857-864 - [c84]Aillkeen Bezerra de Oliveira, Cláudio de Souza Baptista, Anderson Almeida Firmino, Anselmo Cardoso de Paiva:
A Large Language Model Approach to Detect Hate Speech in Political Discourse Using Multiple Language Corpora. SAC 2024: 1461-1468 - [c83]Alexandre de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Geraldo Braz Junior:
Selection of Backbone for Feature Extraction with U-Net in Pancreas Segmentation. VISIGRAPP (3): VISAPP 2024: 822-829 - 2023
- [j76]Alan Carlos de Moura Lima, Lisle Faray de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Miguel Tavares Coimbra, Anselmo Cardoso de Paiva:
A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers. IEEE Access 11: 76108-76119 (2023) - [j75]João Otávio Bandeira Diniz, Domingos Alves Dias Júnior, Luana Batista da Cruz, Giovanni Lucca França da Silva, Jonnison Lima Ferreira, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 317-325 (2023) - [j74]Marcus Vinicius S. L. Oliveira, Caio Eduardo Falcão Matos, Geraldo Braz Junior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Gabriel J. S. Costa, Matheus L. L. Bessa, Mario P. Freitas Filho:
A PPM-based UNet for Tumour and Kidney Segmentation in CTScans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 1897-1905 (2023) - [j73]Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass, Carlos Rodriguez, Roberto Quispe Quispe, Roberto Ribeiro, Vinicius Riguete:
Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches. Expert Syst. Appl. 215: 119337 (2023) - [j72]Brunna de Sousa Pereira Amorim, Anderson Almeida Firmino, Cláudio de Souza Baptista, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Francisco Edeverton de Almeida Júnior:
A Machine Learning Approach for Classifying Road Accident Hotspots. ISPRS Int. J. Geo Inf. 12(5): 227 (2023) - [j71]Ladjane Coelho Santos, Rita de Cássia Fernandes de Lima, Anselmo Cardoso de Paiva, Aura Conci, Nadja Accioly Espindola:
A computing platform to analyze breast abnormalities using infrared images. Medical Biol. Eng. Comput. 61(2): 305-315 (2023) - [c82]Alison Corrêa Mendes, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva:
Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet. BRACIS (2) 2023: 167-180 - [c81]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 1653-1661 - [c80]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 2065-2073 - [c79]Aillkeen Bezerra de Oliveira, Cláudio de Souza Baptista, Anderson Almeida Firmino, Anselmo Cardoso de Paiva:
A Hate Speech Detection Approach Using Transfer Learning with Multiple Idioms. ICEIS (Revised Selected Papers 1) 2023: 144-160 - [c78]Aillkeen Bezerra de Oliveira, Cláudio de Souza Baptista, Anderson Almeida Firmino, Anselmo Cardoso de Paiva:
Using Multilingual Approach in Cross-Lingual Transfer Learning to Improve Hate Speech Detection. ICEIS (1) 2023: 374-384 - [c77]Weslley Lima, Ricardo Lira, Anselmo Cardoso de Paiva, Jasson Silva, Victor Silva:
Methodology for automatic extraction of red flags in public procurement. IJCNN 2023: 1-7 - 2022
- [j70]João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT. Biomed. Signal Process. Control. 71(Part): 103074 (2022) - [j69]José Denes Lima Araújo, Luana Batista da Cruz, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Liver segmentation from computed tomography images using cascade deep learning. Comput. Biol. Medicine 140: 105095 (2022) - [j68]Polyana Bezerra da Costa, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Computational method for aid in the diagnosis of sixth optic nerve palsy through digital videos. Comput. Biol. Medicine 150: 106098 (2022) - [j67]Luana Batista da Cruz, Domingos Alves Dias Júnior, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Marcelo Gattass:
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model. Expert Syst. Appl. 192: 116270 (2022) - [j66]João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Omar Andrés Carmona Cortes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net. Expert Syst. Appl. 196: 116632 (2022) - [j65]Italo Francyles Santos da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks. Expert Syst. Appl. 197: 116704 (2022) - [j64]Alan Carlos de Moura Lima, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Rodrigo M. S. Veras:
An automated CNN architecture search for glaucoma diagnosis based on NEAT. Multim. Tools Appl. 81(10): 13441-13465 (2022) - [c76]Daniel Lopes Soares Lima, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva, António Manuel Trigueiros da Silva Cunha, Geraldo Braz Junior, João Dallyson Sousa de Almeida:
Classification of Video Capsule Endoscopy Images Using Visual Transformers. BHI 2022: 1-4 - [c75]Italo Fernandes S. Silva, Simara Rocha, Carlos Portela, Geraldo Braz Junior, João Almeida, Aristófanes Corrêa Silva, Davi Viana, Jacilane Rabelo, Anselmo Cardoso de Paiva, Luis Rivero:
Defining an A/B Testing Process for Usability and User Experience Evaluation Through the Analysis of the Results of a Literature Review. HCI (41) 2022: 204-213 - [c74]Malu Mafra, Kennedy Nunes, Adailton Castro, Adriana Lopes, Ana Carolina Oran, Geraldo Braz Junior, João Almeida, Anselmo Cardoso de Paiva, Aristófanes C. Silva, Simara Rocha, Davi Viana, Aurea Melo, Raimundo S. Barreto, Luis Rivero:
Defining Requirements for the Development of Useful and Usable Chatbots: An Analysis of Quality Attributes from Academy and Industry. HCI (3) 2022: 479-493 - [c73]Geraldo Braz Junior, Luis Rivero, João Almeida, Simara V. Rocha, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Carlos E. P. Castro, Darlan Bruno Pontes Quintanilha, Italo Francyles Santos da Silva, Erika W. B. A. L. Alves, Samira Barbosa:
Practical Findings from Applying Quality Assurance Activities in the Development of Three Information Systems for Power Companies. ICEIS (2) 2022: 159-166 - [c72]Carolina L. S. Cipriano, Domingos Alves Dias Júnior, Petterson Sousa Diniz, Luiz F. Marin, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes C. Silva:
Detection and Delimitation of Natural Gas in Seismic Images using MLP-Mixer and U-Net. ICEIS (1) 2022: 578-585 - [c71]Walysson Carlos dos Santos Oliveira, Geraldo Braz Junior, Daniel Lima Gomes Jr., Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida:
A Two-Stage U-Net to Estimate the Cultivated Area of Plantations. ICIAP (1) 2022: 346-357 - [c70]Meltem Esengönül, Anselmo Cardoso de Paiva, João M. F. Rodrigues, António Cunha:
Diabetic Retinopathy Detection Using Convolutional Neural Networks for Mobile Use. MobiHealth 2022: 14-23 - [c69]Petterson Sousa Diniz, Domingos Alves Dias Júnior, João Otávio Bandeira Diniz, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Marcelo Gattass, Roberto Quevedo, Diogo Michelon, Carlos Siedschlag, Roberto Ribeiro:
Time2Vec transformer: a time series approach for gas detection in seismic data. SAC 2022: 66-72 - [c68]Marcos Gabriel Mendes Lauande, Amanda Mara Teles, Leandro Lima da Silva, Caio Eduardo Falcão Matos, Geraldo Braz Junior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Rui Miguel Gil da Costa Oliveira, Haissa Oliveira Brito, Ana Gisélia Nascimento, Ana Clea Feitosa Pestana, Ana Paula Silva Azevedo dos Santos, Fernanda Ferreira Lopes:
Classification of Histopathological Images of Penile Cancer using DenseNet and Transfer Learning. VISIGRAPP (4: VISAPP) 2022: 976-983 - [i1]Érick Oliveira Rodrigues, Aura Conci, Tiago B. Borchartt, Anselmo Cardoso de Paiva, Aristófanes C. Silva, Trueman MacHenry:
Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases. CoRR abs/2208.14410 (2022) - 2021
- [j63]Fernando Henrique Fernandes Leite, João Dallyson Sousa de Almeida, Luana Batista da Cruz, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Surgical planning of horizontal strabismus using multiple output regression tree. Comput. Biol. Medicine 134: 104493 (2021) - [j62]Vandécia Rejane Monteiro Fernandes, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Marcelo Gattass:
Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis. Comput. Methods Programs Biomed. 208: 106259 (2021) - [j61]Luis Fernando Marin Sepulveda, Petterson Sousa Diniz, João Otávio Bandeira Diniz, Stelmo Magalhães Barros Netto, Carolina L. S. Cipriano, Alexandre Cristian Araújo, Victor H. B. Lemos, Alexandre C. P. Pessoa, Darlan Bruno Pontes Quintanilha, João Dallyson Sousa de Almeida, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Márcia I. A. Silva, Eliana Marcia Garros Monteiro, Italo Francyles Santos da Silva, Eduardo C. Fernandes:
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization. Eng. Appl. Artif. Intell. 105: 104440 (2021) - [j60]Jullyana Fialho Pinheiro, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Rodrigo de Melo Souza Veras:
Automatic ocular version evaluation in images using random forest. Expert Syst. Appl. 176: 114847 (2021) - [j59]José Denes Lima Araújo, Luana Batista da Cruz, Jonnison Lima Ferreira, Otilio Paulo da Silva Neto, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks. Expert Syst. Appl. 180: 115064 (2021) - [j58]Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost. Expert Syst. Appl. 183: 115452 (2021) - [j57]João Otávio Bandeira Diniz, Darlan Bruno Pontes Quintanilha, Antonino C. dos Santos Neto, Giovanni Lucca França da Silva, Jonnison Lima Ferreira, Stelmo Magalhães Barros Netto, José Denes Lima Araújo, Luana Batista da Cruz, Thamila Fontenele, Caio M. da S. Martins, Marcos Melo Ferreira, Venicius Garcia, José M. C. Boaro, Carolina L. S. Cipriano, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Rodolfo Acatauassu Nunes, Roberto Mogami, Marcelo Gattass:
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning. Multim. Tools Appl. 80(19): 29367-29399 (2021) - [c67]Helano Miguel B. F. Portela, Rodrigo de Melo Souza Veras, Luis Henrique Silva Vogado, Daniel Leite, Jefferson Alves de Sousa, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain. CIARP 2021: 13-23 - [c66]Anderson Almeida Firmino, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva:
Using Cross Lingual Learning for Detecting Hate Speech in Portuguese. DEXA (2) 2021: 170-175 - [c65]Daniel M. Guilhon, Aillkeen Bezerra de Oliveira, Daniel Lima Gomes Jr., Anselmo Cardoso de Paiva, Cláudio de Souza Baptista, Geraldo Braz Junior, João Dallyson Sousa de Almeida:
Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers. EGOVIS 2021: 167-179 - [c64]Luis Rivero, Carlos Portela, José M. C. Boaro, Pedro Thiago Cutrim dos Santos, Venicius Rego, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Erika W. B. A. L. Alves, Milton S. L. Oliveira, Renato U. Moreira e Moraes, Marina Mendes:
Lessons Learned from Applying Requirements and Design Techniques in the Development of a Machine Learning System for Predicting Lawsuits Against Power Companies. HCI (4) 2021: 227-243 - [c63]José Eduardo, Anderson M. P. Paiva, Victor Ferreira, Simara V. Rocha, Italo Francyles Santos da Silva, Luis Rivero, João Almeida, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristofenes Silva, Hugo Nogueira, Eliana Marcia Garros Monteiro, Eduardo C. Fernandes:
Applying Exploratory Testing and Ad-Hoc Usability Inspection to Improve the Ease of Use of a Mobile Power Consumption Registration App: An Experience Report. HCI (40) 2021: 326-341 - [c62]Dayanne Gomes, Nathasha Pinto, Aurea Melo, Ivana Marcia Oliveira Maia, Anselmo Cardoso de Paiva, Raimundo S. Barreto, Davi Viana, Luis Rivero:
Developing a Set of Design Patterns Specific for the Design of User Interfaces for Autistic Users. IHC 2021: 16:1-16:7 - [c61]Kastney Frazão, Alexandre Pessoa, Anselmo Cardoso de Paiva, Davi Viana, Luis Rivero:
TIMEG: Development and Evaluation of an Inspection Checklist Tool for Mobile Educational Games. SBES 2021: 227-232 - 2020
- [j56]Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Romuere R. V. e Silva, Flávio H. D. Araújo, João Otávio Bandeira Diniz, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105: 101845 (2020) - [j55]Luana Batista da Cruz, José Denes Lima Araújo, Jonnison Lima Ferreira, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Marcelo Gattass:
Kidney segmentation from computed tomography images using deep neural network. Comput. Biol. Medicine 123: 103906 (2020) - [j54]Luana Batista da Cruz, Johnatan Carvalho Souza, Jefferson Alves de Sousa, Alex Martins Santos, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Geraldo Braz Junior, Marcelo Gattass:
Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis. Comput. Methods Programs Biomed. 188: 105269 (2020) - [j53]João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Esophagus segmentation from planning CT images using an atlas-based deep learning approach. Comput. Methods Programs Biomed. 197: 105685 (2020) - [j52]Giovanni Lucca França da Silva, Petterson Sousa Diniz, Jonnison Lima Ferreira, João Vitor Ferreira França, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Elton Anderson Araújo de Cavalcanti:
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans. Medical Biol. Eng. Comput. 58(9): 1947-1964 (2020) - [j51]Tardelly De Araújo Cavalcante, Jordão Frazão Soares, Anselmo Cardoso de Paiva, Ivana Marcia Oliveira Maia, Priscila Benitez, André Soares:
Eye tracking como estratégia educacional inclusiva: avaliação com estudantes com autismo. Revista Brasileira de Informática na Educ. 28: 1181-1204 (2020) - [j50]Luana Batista da Cruz, Johnatan Carvalho Souza, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Kelson Rômulo Teixeira Aires, Aristófanes Corrêa Silva, Marcelo Gattass:
Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function. IEEE J. Biomed. Health Informatics 24(12): 3491-3498 (2020) - [c60]Giovanni Lucca França da Silva, João Vitor Ferreira França, Petterson Sousa Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Elton Anderson Araújo de Cavalcanti:
Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels. IWSSIP 2020: 51-56 - [c59]José M. C. Boaro, Pedro T. Cutrim dos Santos, Carlos V. M. Rocha, Thamila Fontenele, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Simara Vieira da Rocha:
Hybrid Capsule Network Architecture Estimation for Melanoma Detection. IWSSIP 2020: 93-98 - [c58]Arthur Azevedo Lima, Alana C. de Carvalho Araújo, Alan Carlos de Moura Lima, Jefferson Alves de Sousa, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Geraldo Braz Junior:
Mask Overlaying: a Deep Learning Approach for Individual Optic Cup Segmentation from Fundus Image. IWSSIP 2020: 99-104 - [c57]Marcos Melo Ferreira, Giovanna Pavani Esteve, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Rodrigo Veras:
Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images. IWSSIP 2020: 105-110 - [c56]Gabriel Bras, Vandécia Rejane Monteiro Fernandes, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Luis Rivero:
Transfer Learning Method Evaluation for Automatic Pediatric Chest X-Ray Image Segmentation. IWSSIP 2020: 128-133 - [c55]Valeska Uchôa, Kelson Rômulo Teixeira Aires, Rodrigo Veras, Anselmo Cardoso de Paiva, Laurindo Britto:
Data Augmentation for Face Recognition with CNN Transfer Learning. IWSSIP 2020: 143-148 - [c54]Ricardo Teles Freitas, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras, Anselmo Cardoso de Paiva, Laurindo de S. B. Neto:
Improving Active Shape Models Robustness Towards Locating Facial Landmarks In Profile Contour. IWSSIP 2020: 149-154 - [c53]Carlos V. M. Rocha, José E. S. Oliveira, Robherson W. S. Costa, Anderson M. P. Paiva, Jefferson A. Sousa, Arthur Costa Serra, Arthur Guilherme Santos Fernandes, Ricardo C. S. Marques, Weslley K. R. Figueredo, Italo Francyles Santos da Silva, Simara V. Rocha, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes C. Silva, Eliana Marcia Garros Monteiro, Márcia I. A. Silva, Italo Fernandes S. Silva:
Self-Reading by Speech: An End-to-end Speech Recognition Method Applied to the Energy Consumption Measurement on Mobile Devices. IWSSIP 2020: 405-410 - [c52]Luis Rivero, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Gabriel Borralho, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira:
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality. SBQS 2020: 30 - [c51]Neclyeux Sousa Monteiro, Wilson Leal Rodrigues Junior, Alexandre Fontinele, Divanilson Campelo, Anselmo Cardoso de Paiva, Ricardo A. L. Rabêlo, André Soares:
Alocação de Banda de Guarda Adaptativa Utilizando Redes Neurais Multi Layer Perceptron em Redes Ópticas Elásticas. SBRC 2020: 770-783 - [c50]João Vitor Ferreira França, José M. C. Boaro, Pedro Thiago Cutrim dos Santos, Fernando Henríquez, Venicius Garcia, Caio Manfredini, Domingos Alves Dias Júnior, Francisco Y. C. de Oliveira, Carlos E. P. Castro, Geraldo Braz Junior, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Milton S. L. de Oliveira, Renato U. Moreira e Moraes, Erika W. B. A. L. Alves, José S. Sobral Neto:
Legal Judgment Prediction in the Context of Energy Market using Gradient Boosting. SMC 2020: 875-880 - [c49]Pedro T. Cutrim dos Santos, Fernando Henríquez, Venicius Garcia, Victor Rogério Sousa Ferreira, Antonino C. dos Santos Neto, Johnatan Carvalho Souza, Caio Manfredini, João Vitor Ferreira França, José M. C. Boaro, Geraldo Braz Junior, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Milton S. L. de Oliveira, Erika W. B. A. L. Alves, Renato U. Moreira e Moraes, José S. Sobral Neto:
Multiclass Legal Judgment Outcome Prediction for Consumer Lawsuits using XGBoost and TPE. SMC 2020: 881-886 - [c48]Victor H. B. Lemos, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes C. Silva, Stelmo M. B. Neto, Alan Carlos de Moura Lima, Carolina L. S. Cipriano, Eduardo C. Fernandes, Márcia I. A. Silva:
Temporal Convolutional Network applied for Forecasting Individual Monthly Electric Energy Consumption. SMC 2020: 2002-2007 - [c47]Victor Rogério Sousa Ferreira, Lisle Faray de Paiva, Anselmo Cardoso de Paiva, Régis Costa de Oliveira, Mónica Sofia Santos Mendes, Ivana Marcia Oliveira Maia:
Authoring and Visualization Tool for Augmented Scenic Performances Prototyping and Experience. SVR 2020: 413-419
2010 – 2019
- 2019
- [j49]Otilio Paulo da Silva Neto, José Denes Lima Araújo, Ana Gabriela Caldas Oliveira, Mara Cutrim, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor. Comput. Biol. Medicine 106: 114-125 (2019) - [j48]Darlan Bruno Pontes Quintanilha, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Temporal analysis of lung lesions through dynamic shape features. Comput. Electr. Eng. 74: 245-258 (2019) - [j47]João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks. Comput. Methods Programs Biomed. 170: 53-67 (2019) - [j46]Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Giovanni Lucca França da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks. Comput. Methods Programs Biomed. 177: 285-296 (2019) - [j45]Caio Eduardo Falcão Matos, Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Geraldo Braz Junior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Simara Vieira da Rocha, Aristófanes Corrêa Silva:
Diagnosis of breast tissue in mammography images based local feature descriptors. Multim. Tools Appl. 78(10): 12961-12986 (2019) - [j44]José Denes Lima Araújo, Johnatan Carvalho Souza, Otilio Paulo Silva Neto, Jefferson Alves de Sousa, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Geraldo Braz Junior, Marcelo Gattass:
Glaucoma diagnosis in fundus eye images using diversity indexes. Multim. Tools Appl. 78(10): 12987-13004 (2019) - [j43]Geraldo Braz Junior, Simara Vieira da Rocha, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes C. Silva, Marcelo Gattass:
Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry. Multim. Tools Appl. 78(10): 13005-13031 (2019) - [j42]Stelmo Magalhães Barros Netto, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions. IEEE Trans. Image Process. 28(4): 1813-1823 (2019) - [c46]Thayane de Oliveira Simoes, Johnatan Carvalho Souza, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks. BRACIS 2019: 239-244 - [c45]Gabriel Garcez Barros Sousa, Vandécia Rejane Monteiro Fernandes, Anselmo Cardoso de Paiva:
Optimized Deep Learning Architecture for the Diagnosis of Pneumonia Through Chest X-Rays. ICIAR (2) 2019: 353-361 - [c44]Pedro Vinicius A. de Freitas, Paulo Renato C. Mendes, Antonio José G. Busson, Álan Lívio Vasconcelos Guedes, Giovanni Lucca França da Silva, Anselmo Cardoso de Paiva, Sérgio Colcher:
An ergonomic evaluation method using a mobile depth sensor and pose estimation. WebMedia 2019: 445-452 - 2018
- [j41]Daniel Lima Gomes Jr., Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Antônio Sérgio de Araújo, Marcelo Gattass:
Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations. Comput. Ind. 97: 67-75 (2018) - [j40]Wener Borges de Sampaio, Fernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 315-330 (2018) - [j39]João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. Comput. Methods Programs Biomed. 156: 191-207 (2018) - [j38]Giovanni Lucca França da Silva, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images. Comput. Methods Programs Biomed. 162: 109-118 (2018) - [j37]Robherson Wector de Sousa Costa, Giovanni Lucca França da Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance. Medical Biol. Eng. Comput. 56(11): 2125-2136 (2018) - [j36]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network. Pattern Recognit. 81: 200-212 (2018) - [c43]Geovane M. Ramos Neto, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva:
Sign Language Recognition Based on 3D Convolutional Neural Networks. ICIAR 2018: 399-407 - [c42]Antonino C. dos Santos Neto, Pedro Henrique Bandeira Diniz, João Otávio Bandeira Diniz, André B. Cavalcante, Aristófanes C. Silva, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida:
Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context. ICIAR 2018: 598-604 - [c41]Italo Francyles Santos da Silva, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva:
Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network. ICIAR 2018: 679-686 - [c40]Júlio César da Silva Soares, Tiago Bonini Borchartt, Anselmo Cardoso de Paiva, Areolino de Almeida Neto:
Methodology Based on Texture, Color and Shape Features For Traffic Light Detection and Recognition. IJCNN 2018: 1-7 - [c39]Luana Batista da Cruz, José Denes Lima Araújo, Johnatan Carvalho Souza, Jefferson Alves de Sousa, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Tear Film Classification Using Phylogenetic Diversity Indexes as Texture Descriptor. ISCC 2018: 853-858 - [c38]Alan Carlos de Moura Lima, Lucas Bezerra Maia, Roberto Matheus Pinheiro Pereira, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva:
Glaucoma Diagnosis over Eye Fundus Image through Deep Features. IWSSIP 2018: 1-4 - [c37]Lucas Bezerra Maia, Alan Carlos de Moura Lima, Roberto Matheus Pinheiro Pereira, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva:
Evaluation of Melanoma Diagnosis using Deep Features. IWSSIP 2018: 1-4 - 2017
- [j35]Daniel Lima Gomes Jr., Paulo Roberto Jansen dos Reis, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Geraldo Braz Junior, Antônio Sérgio de Araújo, Marcelo Gattass:
Semi-automatic methodology for augmented panorama development in industrial outdoor environments. Adv. Eng. Softw. 114: 282-294 (2017) - [j34]Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Hélio Lopes, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Statistical tools for the temporal analysis and classification of lung lesions. Comput. Methods Programs Biomed. 142: 55-72 (2017) - [j33]Bruno Rodrigues Froz, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Lung nodule classification using artificial crawlers, directional texture and support vector machine. Expert Syst. Appl. 69: 176-188 (2017) - [j32]Daniel Lima Gomes Jr., Paulo Roberto Jansen dos Reis, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Geraldo Braz Junior, Marcelo Gattass, Antônio Sérgio de Araújo:
An Approach for Construction of Augmented Reality Systems using Natural Markers and Mobile Sensors in Industrial Fields. Int. J. Comput. Commun. Control 12(4): 507-518 (2017) - [j31]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM. J. Digit. Imaging 30(6): 812-822 (2017) - [j30]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM. Medical Biol. Eng. Comput. 55(8): 1129-1146 (2017) - [j29]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
3D shape analysis to reduce false positives for lung nodule detection systems. Medical Biol. Eng. Comput. 55(8): 1199-1213 (2017) - [j28]Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Unsupervised detection of density changes through principal component analysis for lung lesion classification. Multim. Tools Appl. 76(18): 18929-18954 (2017) - [j27]Giovanni Lucca França da Silva, Otilio Paulo da Silva Neto, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Lung nodules diagnosis based on evolutionary convolutional neural network. Multim. Tools Appl. 76(18): 19039-19055 (2017) - [j26]Jefferson Alves de Sousa, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Geraldo Braz Junior, Marcelo Gattass:
Texture based on geostatistic for glaucoma diagnosis from fundus eye image. Multim. Tools Appl. 76(18): 19173-19190 (2017) - [j25]Otilio Paulo da Silva Neto, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes. Multim. Tools Appl. 76(18): 19263-19289 (2017) - [j24]Wallas Henrique S. dos Santos, Steve Ataky Tsham Mpinda, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Automatic method for quantitative automatic evaluation in dynamic renal scintilography images. Multim. Tools Appl. 76(18): 19291-19315 (2017) - [j23]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM. J. Signal Process. Syst. 87(2): 179-196 (2017) - [c36]Jullyana Fialho Pinheiro, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Sclera Segmentation in Face Images Using Image Foresting Transform. CIARP 2017: 229-236 - [c35]Sérgio Pinto, P. M. D. Santos, Polyana Bezerra da Costa, Paulo Jansen, Daniela Costa, Anselmo Cardoso de Paiva, Marco P. L. Parente, Renato M. Natal Jorge:
Application of virtual reality techniques to a birth simulation. exp.at 2017: 125-126 - 2016
- [j22]Simara Vieira da Rocha, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution. Expert Syst. Appl. 66: 7-19 (2016) - [c34]Anderson Almeida Firmino, Cláudio de Souza Baptista, André Luiz Firmino Alves, Davi Oliveira Serrano de Andrade, Hugo Feitosa de Figueirêdo, Geraldo Braz Filho, Anselmo Cardoso de Paiva:
Towards Metadata Analysis on Opinionated Content in Tweets. ICEIS (2) 2016: 314-320 - [c33]Valéria P. M. Fernandes, Rodrigo F. A. Kanehisa, Geraldo Braz Junior, Aristófanes C. Silva, Anselmo Cardoso de Paiva:
Lung nodule classification based on shape distributions. SAC 2016: 84-86 - [c32]Roberto M. Pinheiro Pereira, Caio Eduardo Falcão Matos, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva:
A Deep Approach for Handwritten Musical Symbols Recognition. WebMedia 2016: 191-194 - 2015
- [j21]Fernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM. Comput. Biol. Medicine 57: 42-53 (2015) - [j20]João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Jorge Antonio Meireles Teixeira, Anselmo Cardoso de Paiva, Marcelo Gattass:
Surgical planning for horizontal strabismus using Support Vector Regression. Comput. Biol. Medicine 63: 178-186 (2015) - [j19]Hugo Feitosa de Figueirêdo, Cláudio de Souza Baptista, Marco Antonio Casanova, Tiago Eduardo da Silva, Anselmo Cardoso de Paiva:
Semi-automatic photograph tagging by combining context with content-based information. Expert Syst. Appl. 42(1): 203-211 (2015) - [j18]Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM. Expert Syst. Appl. 42(22): 8911-8928 (2015) - [j17]Joberth de Nazaré Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM. J. Digit. Imaging 28(3): 323-337 (2015) - [j16]João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Jorge Antonio Meireles Teixeira, Anselmo Cardoso de Paiva, Marcelo Gattass:
Computer-Aided Methodology for Syndromic Strabismus Diagnosis. J. Digit. Imaging 28(4): 462-473 (2015) - [j15]André Luiz Firmino Alves, Cláudio de Souza Baptista, Anderson Almeida Firmino, Maxwell Guimarães de Oliveira, Anselmo Cardoso de Paiva:
A Spatial and Temporal Sentiment Analysis Approach Applied to Twitter Microtexts. J. Inf. Data Manag. 6(2): 118-129 (2015) - [c31]Anselmo Cardoso de Paiva, Cláudio E. C. Campelo, Lucas Caracas de Figueiredo, Júlio Henrique Rocha, Hugo Feitosa de Figueirêdo, Cláudio de Souza Baptista:
Management of Large Hydroelectric Reservoirs Surrounding Areas Using GIS and Remote Sensing. EGOVIS 2015: 257-268 - [c30]Otilio Paulo da Silva Neto, Oseas Carvalho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering. IWSSIP 2015: 109-112 - [c29]Paulo Roberto Jansen dos Reis, Caio Eduardo Falcão Matos, Petterson Sousa Diniz, Daniel Mota Silva, Whesley Dantas, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Antônio Sérgio de Araújo:
An Immersive Virtual Reality Application for Collaborative Training of Power Systems Operators. SVR 2015: 121-126 - 2014
- [j14]Antonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index. Artif. Intell. Medicine 60(3): 165-177 (2014) - [j13]Alex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM. Eng. Appl. Artif. Intell. 36: 27-39 (2014) - [c28]Tiago Ramos Ribeiro, Paulo Roberto Jansen dos Reis, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Ivana Marcia Oliveira Maia, Antônio Sérgio de Araújo:
AGITO: Virtual Reality Environment for Power Systems Substations Operators Training. AVR 2014: 113-123 - [c27]Paulo Roberto Jansen dos Reis, Daniel Lima Gomes Jr., Antônio Sérgio de Araújo, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Visualization of Power Systems Based on Panoramic Augmented Environments. AVR 2014: 175-184 - [c26]Davi Oliveira Serrano de Andrade, Hugo Feitosa de Figueirêdo, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva:
New Approaches for Geographic Location Propagation in Digital Photograph Collections. ICEIS (3) 2014: 92-99 - [c25]Érick Oliveira Rodrigues, Aura Conci, Tiago B. Borchartt, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Trueman MacHenry:
Comparing results of thermographic images based diagnosis for breast diseases. IWSSIP 2014: 39-42 - [c24]André Luiz Firmino Alves, Cláudio de Souza Baptista, Anderson Almeida Firmino, Maxwell Guimarães de Oliveira, Anselmo Cardoso de Paiva:
A Comparison of SVM Versus Naive-Bayes Techniques for Sentiment Analysis in Tweets: A Case Study with the 2013 FIFA Confederations Cup. WebMedia 2014: 123-130 - 2013
- [j12]Daniel Rodrigues Ericeira, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Detection of masses based on asymmetric regions of digital bilateral mammograms using spatial description with variogram and cross-variogram functions. Comput. Biol. Medicine 43(8): 987-999 (2013) - [j11]Geraldo Braz Junior, Simara Vieira da Rocha, Marcelo Gattass, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
A mass classification using spatial diversity approaches in mammography images for false positive reduction. Expert Syst. Appl. 40(18): 7534-7543 (2013) - 2012
- [j10]João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Jorge Antonio Meireles Teixeira:
Computational methodology for automatic detection of strabismus in digital images through Hirschberg test. Comput. Biol. Medicine 42(1): 135-146 (2012) - [j9]Hugo Feitosa de Figueirêdo, Yuri Almeida Lacerda, Anselmo Cardoso de Paiva, Marco A. Casanova, Cláudio de Souza Baptista:
PhotoGeo: a photo digital library with spatial-temporal support and self-annotation. Multim. Tools Appl. 59(1): 279-305 (2012) - [c23]Leonardo Barros Nascimento, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM. MLDM 2012: 454-466 - [c22]Péterson Moraes de Sousa Carvalho, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM. MLDM 2012: 482-494 - 2011
- [j8]Wener Borges de Sampaio, Edgar Moraes Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Detection of masses in mammogram images using CNN, geostatistic functions and SVM. Comput. Biol. Medicine 41(8): 653-664 (2011) - [c21]João Dallyson Sousa de Almeida, Aristófanes C. Silva, Anselmo Cardoso de Paiva:
Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines. ICIAR (2) 2011: 151-160 - 2010
- [j7]João Rodrigo Ferreira da Silva Sousa, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes:
Methodology for automatic detection of lung nodules in computerized tomography images. Comput. Methods Programs Biomed. 98(1): 1-14 (2010) - [j6]Geraldo Braz Junior, Leonardo de Oliveira Martins, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Comparison of Support Vector Machines and Bayesian Neural Networks Performance for Breast Tissues Using geostatistical Functions in Mammographic Images. Int. J. Comput. Intell. Appl. 9(4): 271-288 (2010)
2000 – 2009
- 2009
- [j5]Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Alexandre César Muniz de Oliveira:
Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM. Comput. Biol. Medicine 39(12): 1063-1072 (2009) - [j4]Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Alexandre César Muniz de Oliveira:
Classification of breast tissues using Getis-Ord statistics and support vector machine. Intell. Decis. Technol. 3(4): 197-205 (2009) - [j3]Leonardo de Oliveira Martins, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley's K Function. J. Signal Process. Syst. 55(1-3): 77-90 (2009) - [c20]Leonardo S. Kury A. Mendes, Anselmo Cardoso de Paiva, Cláudio de Souza Baptista, Aristófanes Corrêa Silva:
Content based mammography images retrieval using Ripley's K function. ICIS 2009: 1130-1135 - [c19]André Pereira Nunes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM. MLDM 2009: 540-553 - [c18]Cleriston Araujo da Silva, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Rodolfo Acatauassu Nunes:
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM. MLDM 2009: 810-822 - [c17]Hugo Feitosa de Figueirêdo, Ricardo Madeira Fernandes, Luciana Cavalcante de Menezes, Cláudio de Souza Baptista, Yuri Almeida Lacerda, Anselmo Cardoso de Paiva:
A context-aware solution to annotate people in mobile devices. MoMM 2009: 113-120 - 2008
- [j2]Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data. Comput. Methods Programs Biomed. 90(3): 230-239 (2008) - [j1]Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes:
Diagnosis of lung nodule using Moran's index and Geary's coefficient in computerized tomography images. Pattern Anal. Appl. 11(1): 89-99 (2008) - [c16]Elvis Rodrigues da Silva, Cláudio de Souza Baptista, Luciana Cavalcante de Menezes, Anselmo Cardoso de Paiva:
Personalized Path Finding in Road Networks. NCM (2) 2008: 586-591 - [c15]Yuri Almeida Lacerda, Hugo Feitosa de Figueirêdo, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva:
Expandindo e utilizando informações de contexto para a sugestao de anotações de fotografias digitais. WebMedia 2008: 162-169 - 2007
- [c14]João Rodrigo Ferreira da Silva Sousa, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Lung Structure Classification Using 3D Geometric Measurements and SVM. CIARP 2007: 783-792 - [c13]David Cavassana Costa, Mário Meireles Teixeira, Anselmo Cardoso de Paiva, Cláudio de Souza Baptista:
A Service-Oriented Architecture for Progressive Transmission of Maps. GEOINFO 2007: 97-108 - [c12]Leonardo de Oliveira Martins, Geraldo Braz Junior, Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Classification of Breast Tissues in Mammogram Images Using Ripley's K Function and Support Vector Machine. ICIAR 2007: 899-910 - [c11]Leonardo de Oliveira Martins, Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine. MLDM 2007: 784-794 - 2006
- [c10]David Cavassana Costa, Anselmo Cardoso de Paiva, Mário Meireles Teixeira, Cláudio de Souza Baptista, Elvis Rodrigues da Silva:
A Progressive Transmission Scheme for Vector Maps in Low-Bandwidth Environments Based on Device Rendering. ER (Workshops) 2006: 150-159 - [c9]Valdeci Ribeiro da Silva Jr., Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Alexandre César Muniz de Oliveira:
Semivariogram Applied for Classification of Benign and Malignant Tissues in Mammography. ICIAR (2) 2006: 570-579 - [c8]Leonardo de Oliveira Martins, Alcione Miranda dos Santos, Aristófanes C. Silva, Anselmo Cardoso de Paiva:
Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images. SBRN 2006: 24-29 - 2005
- [c7]Fábio Luiz Leite Jr., Andre Gomes de Sousa, Cláudio de Souza Baptista, Camilo Porto Nunes, Elvis Rodrigues da Silva, Damiao Ribeiro de Almeida, Anselmo Cardoso de Paiva:
Migratool: Towards a Web-Based Spatial Database Migration Tool. DEXA Workshops 2005: 480-484 - [c6]Cláudio de Souza Baptista, Camilo Porto Nunes, Andre Gomes de Sousa, Elvis Rodrigues da Silva, Fábio Luiz Leite Jr., Anselmo Cardoso de Paiva:
On Performance Evaluation of Web GIS Applications. DEXA Workshops 2005: 497-501 - [c5]Aristófanes C. Silva, Anselmo Cardoso de Paiva, Paulo Cezar Pinto Carvalho, Marcelo Gattass:
Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule. IbPRIA (2) 2005: 479-486 - [c4]Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Alexandre César Muniz de Oliveira:
Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule. MLDM 2005: 285-294 - [c3]Aristófanes Corrêa Silva, Valdeci Ribeiro da Silva Jr., Areolino de Almeida Neto, Anselmo Cardoso de Paiva:
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures. MLDM 2005: 295-304 - 2004
- [c2]Anselmo Cardoso de Paiva, Elvis Rodrigues da Silva, Fábio Luiz Leite Jr., Cláudio de Souza Baptista:
A Multiresolution Approach for Internet GIS Applications. DEXA Workshops 2004: 809-813 - [c1]Cláudio de Souza Baptista, Fábio Luiz Leite Jr., Elvis Rodrigues da Silva, Anselmo Cardoso de Paiva:
Using Open Source GIS in e-Government Applications. EGOV 2004: 418-421 - 2001
- [b1]Anselmo Cardoso de Paiva:
Um MéToDo para a CompressãO de Dados VoluméTricos Baseado na Transformada do Cosseno Local. Pontifical Catholic University of Rio de Janeiro, Brazil, 2001
Coauthor Index
Antonio Oseas de Carvalho Filho
aka: Oseas Carvalho
aka: Oseas Carvalho
[j75] [j73] [j69] [j67] [j65] [c69] [j62] [j59] [j58] [j57] [j56] [j55] [j54] [j50] [j49] [j48] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j14] [j13] [j12] [j11] [j8] [j3] [j2] [c11] [c5]
[j81] [c86] [c85] [c83] [j76] [j74] [j72] [j68] [j64] [c76] [c75] [c74] [c73] [c71] [c68] [j63] [j62] [j61] [j60] [j58] [j57] [c65] [c64] [c63] [j54] [j50] [c59] [c58] [c57] [c56] [c53] [c52] [c50] [c49] [c48] [j45] [j44] [j43] [j41] [c43] [c41] [c39] [c38] [c37] [j35] [j32] [j26] [c36] [j22] [c33] [c32] [c29] [c28] [c27] [j11] [j6] [j5] [j4] [c18] [c12]
Darlan B. P. Quintanilha
aka: Darlan Bruno Pontes Quintanilha
aka: Darlan Bruno Pontes Quintanilha
Aristófanes Corrêa Silva
aka: Aristófanes C. Silva
aka: Aristófanes C. Silva
[j81] [j77] [c85] [j76] [j75] [j73] [j70] [j69] [j68] [j67] [j66] [j65] [c75] [c74] [c73] [c72] [c69] [i1] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j50] [c60] [c53] [c50] [c49] [c48] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [c46] [j41] [j40] [j39] [j38] [j37] [j36] [c42] [c39] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c36] [j22] [c33] [j21] [j20] [j18] [j17] [j16] [c30] [j14] [j13] [c28] [c27] [c25] [j12] [j11] [j10] [c23] [c22] [j8] [c21] [j7] [j6] [j5] [j4] [j3] [c20] [c19] [c18] [j2] [j1] [c14] [c12] [c11] [c9] [c8] [c5] [c4] [c3]
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