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ORCIDPedro H. Barros
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2020 – today
- 2024
[j4]Pedro H. Barros
, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos:
A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data. IEEE Internet Things J. 11(19): 31909-31916 (2024)- [c11]Pedro H. Barros, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos:
Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior. IJCNN 2024: 1-8 - 2023
- [j3]Pedro H. Barros, Fabiane Queiroz, Flavio V. D. de 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): 16:1-16:25 (2023) - [c10]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: 449-463 - [c9]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: 351-364 - 2022
- [j2]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: 102785 (2022) - [c8]Pedro H. Barros, Heitor S. Ramos:
A novel aggregation method to promote safety security for poisoning attacks in Federated Learning. GLOBECOM 2022: 3869-3874 - [c7]Morgana Gabi Gomes, Pedro H. Barros, Heitor S. Ramos:
Explorando a correlação espaço-temporal no agrupamento de sensores de cidades inteligentes. SBRC 2022: 43-55 - [c6]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: 195-200 - 2020
- [j1]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: 70505-70518 (2020) - [i2]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 abs/2007.08687 (2020) - [i1]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 abs/2011.08325 (2020)
2010 – 2019
- 2019
- [c5]Pedro H. Barros, Isadora Cardoso-Pereira, Luca Foschini, Antonio Corradi, Heitor S. Ramos:
Load balancing in D2D networks Using Reinforcement Learning. ISCC 2019: 1-6 - [c4]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: 622-635 - 2018
- [c3]Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan C. Martins, Heitor S. Ramos:
Identifying Communities in Social Media with Deep Learning. HCI (14) 2018: 171-182 - [c2]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: 605-610 - [c1]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: 1-6
Coauthor Index
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