Ensemble Learning Method for Human Identification in Wearable Devices. - Lucas Bastos; Bruno S. Martins; Iago Medeiros; Augusto Neto 001; Sherali Zeadally; Denis Rosário; Eduardo Cerqueira (IWCMC, 2022)

Energy Frauds Characterization based on Information Theory Quantifiers. - Lucas Bastos; Bruno S. Martins; Iago Medeiros; Denis Rosário; André L. L. de Aquino; Eduardo Cerqueira (IWCMC, 2023)

Mobility-aware Service Function Chaining Orchestration for Multi-user Augmented Reality. - Hugo Santos; Bruno S. Martins; Denis Rosário; Eduardo Cerqueira; Torsten Braun (LCN, 2023)

Personalized Experience-aware Multi-criteria Route Selection for Smart Mobility. - Matheus Brito; Bruno S. Martins; Camilo Santos; Iago Medeiros; Felipe Araújo; Marcos C. R. Seruffo; Helder M. N. S. Oliveira; Eduardo Cerqueira; Denis Rosário (SBRC, 2023)

Predictive Fraud Detection: An Intelligent Method for Internet of Smart Grid Things Systems. - Lucas Bastos; Bruno S. Martins; Hugo Santos; Iago Medeiros; Paulo Eugênio; Leonardo B. Marques; Denis Rosário; Eduardo Nogueira; Eduardo Cerqueira; Márcio Eduardo Kreutz; Augusto Neto 001 (J. Internet Serv. Appl., 2023)

Partial Training Mechanism to Handle the Impact of Stragglers in Federated Learning with Heterogeneous Clients. - Bruno S. Martins; Allan Mariano de Souza; Denis Rosário; Carlos A. Astudillo; Eduardo Cerqueira; Leandro Villas (ISCC, 2024)

Context-aware multi-modal route selection service for urban computing scenarios. - Matheus Brito; Camilo Santos; Bruno S. Martins; Iago Medeiros; Marcos C. R. Seruffo; Eduardo Cerqueira; Denis Rosário (Ad Hoc Networks, 2024)