Pedro H. Barros

18 papers B 3C 2Misc 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Personalized federated learning for sedentary behavior classification with heterogeneous feature distributions under adversarial threats. IJCNN Pedro H. Barros, Túlio Polido, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos
2024	J	`jnl`	A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data. IEEE Internet Things J. Pedro H. Barros, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos
2024	B	`conf`	Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior. IJCNN Pedro H. Barros, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos
2023	J	`jnl`	A New Similarity Space Tailored for Supervised Deep Metric Learning. ACM Trans. Intell. Syst. Technol. Pedro H. Barros, Fabiane Queiroz, Flavio Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos
2023	—	`conf`	Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks. BRACIS (1) Pedro H. Barros, Fabricio Murai, Heitor S. Ramos
2023	—	`conf`	SAXJS: An Online Change Point Detection for Wearable Sensor Data. SBRC Giovanna A. Riqueti, Pedro H. Barros, João B. Borges Neto, Felipe D. da Cunha, Osvaldo Anibal Rosso, Heitor S. Ramos
2022	B	`conf`	A novel aggregation method to promote safety security for poisoning attacks in Federated Learning. GLOBECOM Pedro H. Barros, Heitor S. Ramos
2022	Misc	`conf`	Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease. UCC J. Jorge, Pedro H. Barros, Roberto Sadao Yokoyama, Daniel L. Guidoni, Heitor S. Ramos, Nelson L. S. da Fonseca, Leandro A. Villas
2022	—	`conf`	Explorando a correlação espaço-temporal no agrupamento de sensores de cidades inteligentes. SBRC Morgana Gabi Gomes, Pedro H. Barros, Heitor S. Ramos
2022	J	`jnl`	Malware-SMELL: A zero-shot learning strategy for detecting zero-day vulnerabilities. Comput. Secur. Pedro H. Barros, Eduarda T. C. Chagas, Leonardo B. Oliveira, Fabiane Queiroz, Heitor S. Ramos
2020	J	`jnl`	A New Similarity Space Tailored for Supervised Deep Metric Learning. CoRR Pedro H. Barros, Fabiane Queiroz, Flavio Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos
2020	J	`jnl`	Leveraging Phase Transition of Topics for Event Detection in Social Media. IEEE Access Pedro H. Barros, Isadora Cardoso-Pereira, Héctor Allende-Cid, Osvaldo Anibal Rosso, Heitor S. Ramos
2020	J	`jnl`	Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification. CoRR Isadora Cardoso-Pereira, João B. Borges Neto, Pedro H. Barros, Antonio A. F. Loureiro, Osvaldo Anibal Rosso, Heitor S. Ramos
2019	—	`conf`	Classificação de Séries Temporais Através de Grafos de Transição de Padrões Ordinais. SBRC Isadora Cardoso, Pedro H. Barros, João B. Borges Neto, Antonio Alfredo Ferreira Loureiro, Heitor S. Ramos
2019	C	`conf`	Load balancing in D2D networks Using Reinforcement Learning. ISCC Pedro H. Barros, Isadora Cardoso-Pereira, Luca Foschini, Antonio Corradi, Heitor S. Ramos
2018	—	`conf`	Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus. ICIAR Pedro H. Barros, Bruno G. C. Lima, Felipe C. Crispim, Tiago F. Vieira, Paolo Missier, Baldoino Fonseca
2018	C	`conf`	Event Detection in Social Media Through Phase Transition of Bigrams Entropy. ISCC Pedro H. Barros, Isadora Cardoso-Pereira, Antonio A. F. Loureiro, Heitor S. Ramos
2018	—	`conf`	Identifying Communities in Social Media with Deep Learning. HCI (14) Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan C. Martins, Heitor S. Ramos