High-dimensional item response theory analysis ofpatient-reported outcomes in total knee arthroplasty
Diaz Berenguer, A, Bossa Bossa, MN, Sahli, H, Lebleu, J & Pauwels, A 2025, 'High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty', npj Digital Medicine, vol. 8, no. 1, 391, pp. 1-16. https://doi.org/10.1038/s41746-025-01783-z
Causality-driven multivariate stock movement forecasting
Diaz Berenguer, A, Da, Y, Bossa Bossa, MN, Oveneke, MC & Sahli, H 2024, 'Causality-driven multivariate stock movement forecasting', PLOS ONE, vol. 19, no. 4, e0302197, pp. 1-41. https://doi.org/10.1371/journal.pone.0302197
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images
Pei, E, Hu, Z, LANG, HE, Ning, H & Berenguer, AD 2024, 'An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images', Expert Systems with Applications, vol. 236, no. February 2024, 121290, pp. 1-12. https://doi.org/10.1016/j.eswa.2023.121290
End-to-end Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries
Alioscha-Perez, M, Oveneke, MC, Diaz Berenguer, A, BERTRAND, C & Sahli, H 2019, End-to-end Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries. in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, pp. 1-2, BNAIC 2019, Brussels, Belgium, 7/11/19. <http://ceur-ws.org/Vol-2491/>
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions
Oveneke, MC, Zhao, Y, Pei, E, Jiang, D, Sahli, H & Diaz Berenguer, A 2019, 'Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions', IEEE Transactions on Affective Computing, vol. 2019. https://doi.org/10.1109/TAFFC.2019.2944603
GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition
DÃaz Berenguer, A, Oveneke, MC, Khalid, H-U-R, Alioscha-Perez, M, Bourdoux, A & Sahli, H 2019, 'GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition', IEEE Access , vol. 7, 8844679, pp. 137122-137135. https://doi.org/10.1109/access.2019.2942305