Pedro H. Barros

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Mahalanobis Metric

Bayes Classification

Top Venues

Publications

Giovanna A. Riqueti, Pedro H. Barros, João B. Borges Neto, Felipe D. da Cunha, Osvaldo Anibal Rosso, Heitor S. Ramos
SAXJS: An Online Change Point Detection for Wearable Sensor Data. SBRC (2023)
Pedro H. Barros, Fabiane Queiroz, Flávio Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos
A New Similarity Space Tailored for Supervised Deep Metric Learning. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Pedro H. Barros, Fabricio Murai, Heitor S. Ramos
Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks. BRACIS (1) (2023)
Pedro H. Barros, Eduarda T. C. Chagas, Leonardo B. Oliveira, Fabiane Queiroz, Heitor S. Ramos
Malware-SMELL: A zero-shot learning strategy for detecting zero-day vulnerabilities. Comput. Secur. 120 (2022)
Pedro H. Barros, Heitor S. Ramos
A novel aggregation method to promote safety security for poisoning attacks in Federated Learning. GLOBECOM (2022)
J. Jorge, Pedro H. Barros, Roberto Sadao Yokoyama, Daniel L. Guidoni, Heitor S. Ramos, Nelson L. S. da Fonseca, Leandro A. Villas
Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease. UCC (2022)
Morgana Gabi Gomes, Pedro H. Barros, Heitor S. Ramos
Explorando a correlação espaço-temporal no agrupamento de sensores de cidades inteligentes. SBRC (2022)
Pedro H. Barros, Isadora Cardoso-Pereira, Héctor Allende-Cid, Osvaldo Anibal Rosso, Heitor S. Ramos
Leveraging Phase Transition of Topics for Event Detection in Social Media. IEEE Access 8 (2020)
Pedro H. Barros, Fabiane Queiroz, Flavio Figueredo, Jefersson A. dos Santos, Heitor S. Ramos
A New Similarity Space Tailored for Supervised Deep Metric Learning. CoRR (2020)
Isadora Cardoso-Pereira, João B. Borges Neto, Pedro H. Barros, Antonio A. F. Loureiro, Osvaldo Anibal Rosso, Heitor S. Ramos
Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification. CoRR (2020)
Isadora Cardoso, Pedro H. Barros, João B. Borges Neto, Antonio Alfredo Ferreira Loureiro, Heitor S. Ramos
Classificação de Séries Temporais Através de Grafos de Transição de Padrões Ordinais. SBRC (2019)
Pedro H. Barros, Isadora Cardoso-Pereira, Luca Foschini, Antonio Corradi, Heitor S. Ramos
Load balancing in D2D networks Using Reinforcement Learning. ISCC (2019)
Pedro H. Barros, Bruno G. C. Lima, Felipe C. Crispim, Tiago F. Vieira, Paolo Missier, Baldoino Fonseca
Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus. ICIAR (2018)
Pedro H. Barros, Isadora Cardoso-Pereira, Antonio A. F. Loureiro, Heitor S. Ramos
Event Detection in Social Media Through Phase Transition of Bigrams Entropy. ISCC (2018)
Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan Martins, Heitor S. Ramos
Identifying Communities in Social Media with Deep Learning. HCI (14) (2018)