Aqui você encontra referências para as publicações de nossos pesquisadores em revistas especializadas e anais de eventos científicos.
Artigos em periódicos
1. R. P. Ederli, D. Vega-Oliveros, A. Soriano-Vargas, A. Rocha and Z. Dias, “Sleep-Wake Classification using Recurrence Plots from Smartwatch Accelerometer Data,” 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Recife-Pe, Brazil, 2023, pp. 1-6. (DOI: 10.1109/LA-CCI58595.2023.10409374).
2. P. H. Barros, J. C. Guevara, L. Villas, D. Guidoni, N. L. S. da Fonseca and H. S. Ramos, “A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data,” in IEEE Internet of Things Journal. (DOI: 10.1109/JIOT.2024.3420891).
Publicações em conferências
1. P. H. Barros and H. S. Ramos, “A novel aggregation method to promote safety security for poisoning attacks in Federated Learning,” GLOBECOM 2022 – 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 3869-3874. (DOI: 10.1109/GLOBECOM48099.2022.10001680).
2. J. Jorge et al., “Applying Federated Learning in the detection of Freezing of Gait in Parkinson’s disease,” 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Vancouver, WA, USA, 2022, pp. 195-200. (DOI: 10.1109/UCC56403.2022.00037).
3. R. C. Ito and F. J. Von Zuben, “OFA2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search,” 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-9. (DOI: 10.1109/IJCNN54540.2023.10191589).
4. Barros, P. H., Guevara, J. C., Villas, L. A., Guidoni, D. L., da Fonseca, N. L. S., & Ramos Filho, H. S. (2024). “Hierarchical Federated Learning Based on Ordinal Patterns for Detecting Sedentary Behavior,” 2024 International Joint Conference on Neural Networks (IJCNN). Yokohama, Japan, 2024.
5. J. Jorge, J. C. Guevara, D. L. Guidoni, H. S. Ramos, L. A. Villas and N. L. S. Da Fonseca, “Tremor Detection in Parkinson’s Disease from Wearable Data: A Comparative Study of Centralized Learning versus Federated Learning,” 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, 2024, pp. 724-731.
6. J. Jorge et al., “Applying Federated Learning in the Detection of Freezing of Gait in Parkinson’s Disease,” 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), Vancouver, WA, USA, 2022, pp. 195-200. (DOI: 10.1109/UCC56403.2022.00037).
7. C. S. Lima, F. C. Bertocco, J. I. V. de Oliveira, T. M. F. de Souza, E. P. da Silva and F. J. Von Zuben, “Assessment of Samsung Galaxy Watch4 PPG-Based Heart Rate During Light-to-Vigorous Physical Activities,” in IEEE Sensors Letters, vol. 8, no. 7, pp. 1-4, July 2024. (DOI: 10.1109/LSENS.2024.3408089).
8. L. F. Bortoletto, G. G. Martins and R. C. Mesquita. Physiological and cognitive characterization of stress induced by time-restricted mental arithmetics measured with functional near-infrared spectroscopy. ABSTRACTS PRESENTED AT THE 10TH BRAINN CONGRESS BRAZILIAN INSTITUTE OF NEUROSCIENCE AND NEUROTECHNOLOGY (BRAINN-UNICAMP). Journal of Epilepsy and Clinical Neurophysiology, vol. 29, n. 1, 2024. (ISSN: 1676-2649).
9. C. T. Coimbra, G. G. Martins, B. S. de Lima and R. C. Mesquita. Wearable sensors accurately measures physiological tremor. 10TH BRAINN CONGRESS BRAZILIAN INSTITUTE OF NEUROSCIENCE AND NEUROTECHNOLOGY (BRAINN-UNICAMP). Disponível aqui.
10. R. C. Ito, E. P. Da Silva and F. J. Von Zuben, “OFA3: Automatic Selection of the Best Non-dominated Sub-networks for Ensembles,” 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-9. (DOI: 10.1109/IJCNN60899.2024.10650685).
11. L. F. Bortoletto, G. G. Martins, and R. C. Mesquita. Impacts of Stress in Neural and Cardiorespiratory Responses Induced by Time-Restricted Arithmetics. VIII Biennial Meeting of the Society for functional near-infrared spectroscopy (SfNIRS). Disponível aqui.
12. M. A. Silva, C. T. Coimbra, B. S. Lima, A. Soriano-Vargas, R. C. Mesquita, L. Silveira-Moriyama. Paradoxical worsening of gait due to L- dopa induced dystonia: a case report. XXXI Congresso Brasileiro de Neurologia, Campinas, SP, 2024.