Class of service in fog computing. - Judy C. Guevara; Luiz F. Bittencourt; Nelson L. S. da Fonseca (LATINCOM, 2017)

On the classification of fog computing applications: A machine learning perspective. - Judy C. Guevara; Ricardo da Silva Torres; Nelson L. S. da Fonseca (J. Netw. Comput. Appl., 2020)

Task scheduling in cloud-fog computing systems. - Judy C. Guevara; Nelson L. S. da Fonseca (Peer-to-Peer Netw. Appl., 2021)

QoS-aware Task Scheduling based on Reinforcement Learning for the Cloud-Fog Continuum. - Judy C. Guevara; Ricardo da Silva Torres; Luiz F. Bittencourt; Nelson L. S. da Fonseca (GLOBECOM, 2022)

QoS requirements for Fog Computing applications. - Judy C. Guevara; Ricardo da Silva Torres; Nelson L. S. da Fonseca (IEEE DataPort, 2023)

Tremor Detection in Parkinson's Disease from Wearable Data: A Comparative Study of Centralized Learning versus Federated Learning. - Jhon Jorge; Judy C. Guevara; Daniel L. Guidoni; Heitor S. Ramos; Leandro A. Villas; Nelson L. S. da Fonseca (DCOSS-IoT, 2024)

Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior. - Pedro H. Barros; Judy C. Guevara; Leandro Villas; Daniel L. Guidoni; Nelson L. S. da Fonseca; Heitor S. Ramos (IJCNN, 2024)

A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data. - Pedro H. Barros; Judy C. Guevara; Leandro Villas; Daniel L. Guidoni; Nelson L. S. da Fonseca; Heitor S. Ramos (IEEE Internet Things J., 2024)