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2025 ■
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
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
 
2024 ■
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
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
 
2022 ■
Bossa, M, Berenguer, AD & Sahli, H 2022, Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease. in A Abdulkadir, DR Bathula, NC Dvornek, M Habes, SM Kia, V Kumar & T Wolfers (eds), International Workshop on Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. vol. 13596, Lecture Notes in Computer Science, vol. 13596, Springer Nature Switzerland AG, pp. 95-103. https://doi.org/10.1007/978-3-031-17899-3_10
Diaz Berenguer, A, Mukherjee, T, Bossa Bossa, MN, Deligiannis, N & Sahli, H 2022, 'Representation Learning with Information Theory for COVID-19 Detection', ArXiv.org, vol. 2022, pp. 1-10. https://doi.org/10.48550/arXiv.2207.01437
 
2021 ■
Diaz Berenguer, A 2021, 'Learning to predict human behavior in crowded scenes', Vrije Universiteit Brussel.