An open-source simulation of QoE for video applications in relay enhanced LTE-A networks. - César A. Sierra Franco; José Roberto Boisson de Marca (ISWCS, 2014)

Load balancing in self-organized heterogeneous LTE networks: A statistical learning approach. - César A. Sierra Franco; José Roberto Boisson de Marca (LATINCOM, 2015)

A Cognitive and Cooperative SON Framework for 5G Mobile Radio Access Networks. - César A. Sierra Franco; José Roberto Boisson de Marca; Gláucio Lima Siqueira (GLOBECOM Workshops, 2016)

Training Data Enhancements for Robust Polyp Segmentation in Colonoscopy Images. - Victor de Almeida Thomaz; César A. Sierra Franco; Alberto Barbosa Raposo (CBMS, 2019)

Automatic Detection of 3D Steel Structures in As-built Point Clouds. - Rogério Pinheiro de Souza; Paulo Ivson Netto Santos; César A. Sierra Franco; Alberto Barbosa Raposo (ICCPR, 2019)

A Self-adaptive Serious Game for Eye-Hand Coordination Training. - Leonardo Cardia da Cruz; César A. Sierra Franco; Greis Francy M. Silva-Calpa; Alberto Barbosa Raposo (HCI (31), 2020)

End-User Programming Architecture for Physical Movement Assessment: An Interactive Machine Learning Approach. - Jessica M. Palomares-Pecho; Greis Francy M. Silva-Calpa; César A. Sierra Franco; Alberto Barbosa Raposo (HCI (18), 2020)

Automatic Deformation Detection and Analysis Visualization of 3D Steel Structures in As-Built Point Clouds. - Rogério Pinheiro de Souza; César A. Sierra Franco; Paulo Ivson Netto Santos; Marina Polonia Rios; Daniel Luiz de Mattos Nascimento; Alberto Barbosa Raposo (HCI (1), 2020)

Eye-tracking Data Analysis for Visual Exploration Assessment and Decision Making Interpretation in Virtual Reality Environments. - Abner Cardoso da Silva; César A. Sierra Franco; Greis Francy M. Silva-Calpa; Felipe Gomes de Carvalho; Alberto Barbosa Raposo (SVR, 2020)

Enabling Autonomous Medical Image Data Annotation: A human-in-the-loop Reinforcement Learning Approach. - Leonardo Cardia da Cruz; César A. Sierra Franco; Greis F. M. Silva-Calpa; Alberto Raposo 001 (FedCSIS, 2021)

Training data enhancements for improving colonic polyp detection using deep convolutional neural networks. - Victor de Almeida Thomaz; César A. Sierra Franco; Alberto Barbosa Raposo (Artif. Intell. Medicine, 2021)

A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images. - Santiago V. Silva; César A. Sierra Franco; Jan Hurtado; Leonardo Cardia da Cruz; Victor de Almeida Thomaz; Greis Francy M. Silva-Calpa; Alberto Barbosa Raposo (ISVC (1), 2023)

Fuzzy-Based Modeling with Semi-Automatic Rule Learning for Eye-Tracking Data Analysis: A Case Study on Raven's Progressive Matrices. - Abner Cardoso da Silva; Cíntia Machado de Mesquita; Greis F. M. Silva-Calpa; César A. Sierra Franco; Alberto Barbosa Raposo (SeGAH, 2023)

Towards Automated Semantic Segmentation in Mammography Images. - César A. Sierra Franco; Jan Hurtado; Victor de Almeida Thomaz; Leonardo Cardia da Cruz; Santiago V. Silva; Alberto Barbosa Raposo (CoRR, 2023)

Segmentation of four-chamber view images in fetal ultrasound exams using a novel deep learning model ensemble method. - Jan Hurtado; César A. Sierra Franco; Thiago Motta; Alberto Raposo 001 (Comput. Biol. Medicine, 2024)

Urban Re-Identification: Fusing Local and Global Features with Residual Masked Maps for Enhanced Vehicle Monitoring in Small Datasets. - William A. Ramirez; César A. Sierra Franco; Thiago Motta; Alberto Raposo 001 (VISIGRAPP (2): VISAPP, 2025)

Improving the generalization of deep learning models in the segmentation of mammography images. - Jan Hurtado; Joao P. Maia; César A. Sierra Franco; Alberto Barbosa Raposo (CoRR, 2025)