M.C. Popa

Aechtner, J., Wilbik, A., & Popa, M. (2025). Assessing Aggressive Driving Behaviour Using Attention Based Models. In F. A. Oliehoek, M. Kok, & S. Verwer (Eds.), Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Revised Selected Papers (Vol. 2187 CCIS, pp. 54-81). Springer. https://doi.org/10.1007/978-3-031-74650-5_4

Ganesh, A., Popa, M., Odijk, D., & Tintarev, N. (2024). Does spatio-temporal information benefit the video summarization task? In AEQUITAS 2024: Workshop on Fairness and Bias in AI | co-located with ECAI 2024 (pp. 10-25) https://ceur-ws.org/Vol-3808/paper10.pdf

Thil, L.-A., Popa, M., & Spanakis, G. (2024). Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning. In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (pp. 866–874). Association for Computing Machinery. https://doi.org/10.1145/3605098.3635903

Tazwar, S. M., Knobbout, M., Quesada, E. H., & Popa, M. (2024). Tab-VAE: A Novel VAE for Generating Synthetic Tabular Data. In M. Castrillon-Santana, M. De Marsico, & A. Fred (Eds.), Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods (Vol. 1, pp. 17-26). Science and Technology Publications, Lda. https://doi.org/10.5220/0012302400003654

Padinjarekkara, S. K., Alecci, J., & Popa, M. (2024). XPCA Gen: Extended PCA Based Tabular Data Generation Model. In M. Castrillon-Santana, M. De Marsico, & A. Fred (Eds.), Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods (Vol. 1, pp. 141-151). Science and Technology Publications, Lda. https://doi.org/10.5220/0012568600003654