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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) - [c85]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 - [c84]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 - [c83]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 - [c82]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) - [c81]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 - [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: 1653-1661 - [c79]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 - [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
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