Dr E. Hortal Quesada
Recente publicaties
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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/MetroXRAINE62247.2024.10796115Meer informative over deze publicatie
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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_36Meer informative over deze publicatie
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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_20Meer informative over deze publicatie
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Khaertdinov, B., Jeuris, P., Sousa, A., & Hortal, E. (2024). Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations. Interspeech, 4708-4712. https://doi.org/10.21437/Interspeech.2024-860Meer informative over deze publicatie
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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/10.5220/0012302400003654Meer informative over deze publicatie
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Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., & Giordano, S. (2023). Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities. CEUR Workshop Proceedings, 3517, 1-20. Article 193704. https://ceur-ws.org/Vol-3517/paper1.pdfMeer informative over deze publicatie
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Pai, S., Hadzic, I., Rao, C., Zhovannik, I., Dekker, A., Traverso, A., Asteriadis, S., & Hortal, E. (2023). Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. Sensors, 23(3), Article 1089. https://doi.org/10.3390/s23031089Meer informative over deze publicatie
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Hartmann, K., & Hortal, E. (2023). COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. In J. M. Juarez, M. Marcos, G. Stiglic, & A. Tucker (Eds.), Artificial Intelligence in Medicine: AIME 2023 (Vol. 13897, pp. 229-238). Springer, Cham. https://doi.org/10.1007/978-3-031-34344-5_27Meer informative over deze publicatie
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Nürnberg, L., Bontempi, D., de Ruysscher, D., Dekker, A., Hortal, E., Canters, R., & Traverso, A. (2022). Deep learning segmentation of heart substructures in radiotherapy treatment planning. Physica Medica: European journal of medical physics, 104(Supplement 1), S76. https://www.sciencedirect.com/science/article/pii/S1120179722022906?via%3DihubMeer informative over deze publicatie
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García Fernández, J., Hortal, E., & Mehrkanoon, S. (2021). Towards biologically plausible learning in neural networks. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-8). Article 9659539 IEEE Canada. https://doi.org/10.1109/SSCI50451.2021.9659539Meer informative over deze publicatie