Pedro H. Barros

According to our database, Pedro H. Barros authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A New Similarity Space Tailored for Supervised Deep Metric Learning.

Pedro H. Barros, Fabiane Queiroz, Flavio V. D. de Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos

ACM Trans. Intell. Syst. Technol., February, 2023

SAXJS: An Online Change Point Detection for Wearable Sensor Data.

Giovanna A. Riqueti, Pedro H. Barros, João B. Borges Neto, Felipe D. da Cunha, Osvaldo Anibal Rosso, Heitor S. Ramos

Proceedings of the 41st Brazilian Symposium on Computer Networks and Distributed Systems, 2023

Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks.

Pedro H. Barros, Fabricio Murai, Heitor S. Ramos

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Malware-SMELL: A zero-shot learning strategy for detecting zero-day vulnerabilities.

Pedro H. Barros, Eduarda T. C. Chagas, Leonardo B. Oliveira, Fabiane Queiroz, Heitor S. Ramos

Comput. Secur., 2022

Applying Federated Learning in the detection of Freezing of Gait in Parkinson's disease.

J. Jorge, Pedro H. Barros, Roberto Sadao Yokoyama, Daniel L. Guidoni, Heitor S. Ramos, Nelson L. S. da Fonseca, Leandro A. Villas

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Explorando a correlação espaço-temporal no agrupamento de sensores de cidades inteligentes.

Morgana Gabi Gomes, Pedro H. Barros, Heitor S. Ramos

Proceedings of the 40th Brazilian Symposium on Computer Networks and Distributed Systems, 2022

A novel aggregation method to promote safety security for poisoning attacks in Federated Learning.

Pedro H. Barros, Heitor S. Ramos

Proceedings of the IEEE Global Communications Conference, 2022

2020

A New Similarity Space Tailored for Supervised Deep Metric Learning.

Pedro H. Barros, Fabiane Queiroz, Flavio Figueredo, Jefersson A. dos Santos, Heitor S. Ramos

CoRR, 2020

Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification.

Isadora Cardoso-Pereira, João B. Borges Neto, Pedro H. Barros, Antonio A. F. Loureiro, Osvaldo Anibal Rosso, Heitor S. Ramos

CoRR, 2020

Leveraging Phase Transition of Topics for Event Detection in Social Media.

Pedro H. Barros, Isadora Cardoso-Pereira, Héctor Allende-Cid, Osvaldo Anibal Rosso, Heitor S. Ramos

IEEE Access, 2020

2019

Classificação de Séries Temporais Através de Grafos de Transição de Padrões Ordinais.

Isadora Cardoso, Pedro H. Barros, João B. Borges Neto, Antonio Alfredo Ferreira Loureiro, Heitor S. Ramos

Proceedings of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems, 2019

Load balancing in D2D networks Using Reinforcement Learning.

Pedro H. Barros, Isadora Cardoso-Pereira, Luca Foschini, Antonio Corradi, Heitor S. Ramos

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

2018

Event Detection in Social Media Through Phase Transition of Bigrams Entropy.

Pedro H. Barros, Isadora Cardoso-Pereira, Antonio A. F. Loureiro, Heitor S. Ramos

Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus.

Pedro H. Barros, Bruno G. C. Lima, Felipe C. Crispim, Tiago F. Vieira, Paolo Missier, Baldoino Fonseca

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Identifying Communities in Social Media with Deep Learning.

Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan C. Martins, Heitor S. Ramos

Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018