Abel Díaz Berenguer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Score Distributions

Facial Expressions

Information Theory

Temporal Aggregation

Top Venues

BNAIC/BENELEARN

Medical Image Anal.

Publications

Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. Expert Syst. Appl. 236 (2024)
Yifei Da, Matías Nicolás Bossa, Abel Díaz Berenguer, Hichem Sahli
Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training. IEEE Access 12 (2024)
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, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97 (2024)
Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94 (2024)
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR (2023)
Eduardo Garea Llano, Abel Díaz Berenguer, Hichem Sahli, Evelio R. Gonzalez-Dalmau
Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. MCPR (2023)
Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations. MILLanD@MICCAI (2023)
Yadisbel Martinez-Cañete, Hichem Sahli, Abel Díaz Berenguer
Multi-view Infant Cry Classification. IbPRIA (2023)
Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. MLCN@MICCAI (2022)
Meshia Cédric Oveneke, Yong Zhao, Ercheng Pei, Abel Díaz Berenguer, Dongmei Jiang, Hichem Sahli
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions. IEEE Trans. Affect. Comput. 13 (1) (2022)
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli
Representation Learning with Information Theory for COVID-19 Detection. CoRR (2022)
Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) (2022)
Abel Díaz Berenguer, Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli
Context-Aware Human Trajectories Prediction via Latent Variational Model. IEEE Trans. Circuits Syst. Video Technol. 31 (5) (2021)
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, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR (2020)
Mitchel Alioscha-Pérez, Abel Díaz Berenguer, Ercheng Pei, Meshia Cédric Oveneke, Hichem Sahli
Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards. ICAIIC (2020)
Abel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli
Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos. BNAIC/BENELEARN (2019)
Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli
End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries. BNAIC/BENELEARN (2019)
Abel Díaz Berenguer, Meshia Cédric Oveneke, Habib-Ur-Rehman Khalid, Mitchel Alioscha-Pérez, André Bourdoux, Hichem Sahli
GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition. IEEE Access 7 (2019)