End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries. - Mitchel Alioscha-Pérez; Meshia Cédric Oveneke; Abel Díaz Berenguer; Cédric Bertrand; Hichem Sahli (BNAIC/BENELEARN, 2019)

Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos. - Abel Díaz Berenguer; Meshia Cédric Oveneke; Mitchel Alioscha-Pérez; Hichem Sahli (BNAIC/BENELEARN, 2019)

GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition. - Abel Díaz Berenguer; Meshia Cédric Oveneke; Habib-Ur-Rehman Khalid; Mitchel Alioscha-Pérez; André Bourdoux; Hichem Sahli (IEEE Access, 2019)

Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards. - Mitchel Alioscha-Pérez; Abel Díaz Berenguer; Ercheng Pei; Meshia Cédric Oveneke; Hichem Sahli (ICAIIC, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Context-Aware Human Trajectories Prediction via Latent Variational Model. - Abel Díaz Berenguer; Mitchel Alioscha-Pérez; Meshia Cédric Oveneke; Hichem Sahli (IEEE Trans. Circuits Syst. Video Technol., 2021)

Representation Learning with Information Theory to Detect COVID-19 and Its Severity. - Abel Díaz Berenguer; Tanmoy Mukherjee; Yifei Da; Matías Nicolás Bossa; Maryna Kvasnytsia; Jef Vandemeulebroucke; Nikos Deligiannis; Hichem Sahli (ECCV Workshops (7), 2022)

Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. - Matías N. Bossa; Abel Díaz Berenguer; Hichem Sahli (MLCN@MICCAI, 2022)

Representation Learning with Information Theory for COVID-19 Detection. - Abel Díaz Berenguer; Tanmoy Mukherjee; Matias Bossa; Nikos Deligiannis; Hichem Sahli (CoRR, 2022)

Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions. - Meshia Cédric Oveneke; Yong Zhao; Ercheng Pei; Abel Díaz Berenguer; Dongmei Jiang; Hichem Sahli (IEEE Trans. Affect. Comput., 2022)

Multi-view Infant Cry Classification. - Yadisbel Martinez-Cañete; Hichem Sahli; Abel Díaz Berenguer (IbPRIA, 2023)

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. - Eduardo Garea Llano; Abel Díaz Berenguer; Hichem Sahli; Evelio R. Gonzalez-Dalmau (MCPR, 2023)

COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations. - Maryna Kvasnytsia; Abel Díaz Berenguer; Hichem Sahli; Jef Vandemeulebroucke (MILLanD@MICCAI, 2023)

Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data. - Maxime Bollengier; Abel Díaz Berenguer; Hichem Sahli (EMBC, 2024)

Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training. - Yifei Da; Matías Nicolás Bossa; Abel Díaz Berenguer; Hichem Sahli (IEEE Access, 2024)

Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. - Abel Díaz Berenguer; Maryna Kvasnytsia; Matías Nicolás Bossa; Tanmoy Mukherjee; Nikos Deligiannis; Hichem Sahli (Medical Image Anal., 2024)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Luuk H. Boulogne; Julian Lorenz; Daniel Kienzle; Robin Schön; Katja Ludwig; Rainer Lienhart; Simon Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. - Ercheng Pei; Zhanxuan Hu; Lang He; Hailong Ning; Abel Díaz Berenguer (Expert Syst. Appl., 2024)

High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty. - Abel Díaz Berenguer; Matías Nicolás Bossa; Julien Lebleu; Andries Pauwels; Hichem Sahli (npj Digit. Medicine, 2025)

Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. - Ine Dirks; Matías Nicolás Bossa; Abel Díaz Berenguer; Tanmoy Mukherjee; Hichem Sahli; Nikos Deligiannis; Emma Verelst; Bart Ilsen; Simon Van Eyndhoven; Lucie Seyler; Arne Witdouck; Gilles Darcis; et al. (BMC Medical Informatics Decis. Mak., 2025)