Amilcar Soares Junior

Universitetslektor

Institutionen för datavetenskap och medieteknik Fakulteten för teknik

amilcar.soares@lnu.se

0470-70 81 90

Publikationer

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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad

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.