Dr E. Hortal Quesada

Hortal, E., Semerci, Y. C., Mazzucato, A., & Christidis, J. (2025). Sensor-Based to Interaction-Based AI Models in Education: The JOINclusion Case Study. In P. Ardimento, G. Zaza, R. Di Fuccio, P. Limone, G. Fulantelli, D. Schicchi, D. Taibi, R. Pecori, P. Raviolo, & M. Rondonotti (Eds.), Higher Education Learning Methodologies and Technologies Online - 6th International Conference, HELMeTO 2024, Revised Selected Papers (pp. 247-258). Springer. https://doi.org/10.1007/978-3-031-93999-0_16

Colella, A., Mazzucato, A., Bacchini, D., Christidis, I., Esposito, C., Hortal, E., Leligkoy, E. A., Oikonomakis, L., Palaiologou, K., & Semerci, Y. C. (2024). JOINclusion: A Mobile Game for Social Inclusion in Multicultural School Contexts. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 884-889). Article 10796115 The IEEE. https://doi.org/10.1109/MetroXRAINE62247.2024.10796115

Sijstermans, R., Sun, C., & Hortal, E. (2024). Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. In J. M. Ferrández Vicente, M. Val Calvo, & H. Adeli (Eds.), Bioinspired Systems for Translational Applications: From Robotics to Social Engineering: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 389-399). Springer Nature. https://doi.org/10.1007/978-3-031-61137-7_36

Yozkan, E., Hortal, E., Karel, J., Janssen, M., Vossen, C., & Gommer, E. (2024). Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals. In J. M. Ferrández Vicente, M. Val Calvo, & H. Adeli (Eds.), Artificial Intelligence for Neuroscience and Emotional Systems - 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Proceedings: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 203-212). Springer Nature. https://doi.org/10.1007/978-3-031-61140-7_20

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