TIMEG: Development and Evaluation of an Inspection Checklist Tool for Mobile Educational Games. - Kastney Frazão; Alexandre Pessoa 001; Anselmo Cardoso de Paiva; Davi Viana; Luis Rivero 001 (SBES, 2021)

Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization. - 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; et al. (Eng. Appl. Artif. Intell., 2021)

Classification of Video Capsule Endoscopy Images Using Visual Transformers. - Daniel Lopes Soares Lima; Alexandre César Pinto Pessoa; Anselmo Cardoso de Paiva; António Manuel Trigueiros da Silva Cunha; Geraldo Braz Júnior; João Dallyson Sousa de Almeida (BHI, 2022)

Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet. - Alison Corrêa Mendes; Alexandre César Pinto Pessoa; Anselmo Cardoso de Paiva (BRACIS (2), 2023)

Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. - Rodrigo Fernandes; Alexandre Pessoa 001; José Nogueira; Anselmo Cardoso de Paiva; Ishak Paçal; Marta Salgado; António Cunha (CENTERIS/ProjMAN/HCist, 2023)

Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8. - Anderson Lopes Silva; Hellen Guterres França; Carlos Mendes dos Santos Neto; Alexandre César Pinto Pessoa; Darlan Bruno Pontes Quintanilha; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva (BRACIS (1), 2024)

A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR. - Inês Castro Fernandes; Rodrigo Fernandes; Alexandre Pessoa 001; Marta Salgado; Anselmo Cardoso de Paiva; Ishak Paçal; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

Automated Tooth Detection and Numbering in Panoramic Radiographs Using YOLO. - Alison Corrêa Mendes; Darlan Bruno Pontes Quintanilha; Alexandre César Pinto Pessoa; Anselmo Cardoso de Paiva; Pedro de Alcântara dos Santos Neto (CENTERIS/ProjMAN/HCist, 2024)

A Cascade Method based on UNet3+ for Automated Vertebrae Segmentation in X-ray Images. - Estephane M. Nascimento; Aristófanes C. Silva; João Dallyson Sousa de Almeida; Alexandre C. P. Pessoa; Weslley K. R. Figueredo; Italo Francyles Santos da Silva; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (CENTERIS/ProjMAN/HCist, 2024)

A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images. - Alexandre C. P. Pessoa; Darlan B. P. Quintanilha; João Dallyson Sousa de Almeida; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (ICEIS (1), 2024)

Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. - Rodrigo Fernandes; Alexandre Pessoa 001; Marta Salgado; Anselmo Cardoso de Paiva; Ishak Paçal; António Cunha (IEEE Access, 2024)

Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images. - Joana Kuelvia de Araújo Silva; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; Italo Francyles Santos da Silva; Alexandre César Pinto Pessoa (ICEIS (1), 2025)

Evaluating EfficientNet Architectures for Pathology Detection in Endoscopic Gastrointestinal Tract Images. - Alexandre C. P. Pessoa; Darlan B. P. Quintanilha; João Dallyson Sousa de Almeida; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; António Cunha (SN Comput. Sci., 2025)