Amilcar Soares Junior

Publications

Das, S., Prado Da Fonseca, V., Soares, A. (2024). Active learning strategies for robotic tactile texture recognition tasks. Frontiers in Robotics and AI. 11.
Status: Published
Noel, J.T., Fonseca, V.P.D., Soares, A. (2024). The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey. International Journal of Computer Science in Sport. 23 (1). 1-21.
Status: Published
Song, R., Spadon, G., Pelot, R., Matwin, S., Soares, A. (2024). Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models. Scientific Reports. 14 (1).
Status: Published
Noel, J.T.P., Prado Da Fonseca, V., Soares, A. (2024). A Comprehensive Data Pipeline for Comparing the Effects of Momentum on Sports Leagues. Data. 9 (2).
Status: Published
Spadon, G., Kumar, J., Eden, D., Van Berkel, J., Foster, T., et al. (2024). Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting. Ocean Engineering. 312 (Part 1).
Status: Published

Das, S., Simha, V., Swamidas, J., Soares, A., Prado Da Fonseca, V. (2024). Unbalanced Fault Classification Using Active Learning in Synthetic Fiber Manufacturing Process. 2024 IEEE International Systems Conference (SysCon).
Haranwala, Y.J., Spadon, G., Renso, C., Soares, A. (2023). A Data Augmentation Algorithm for Trajectory Data. EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, November. 25-29.