Abel Díaz Berenguer

According to our database, Abel Díaz Berenguer authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., February, 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

2023

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 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

CoRR, 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

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia.

Eduardo Garea Llano, Abel Díaz Berenguer, Hichem Sahli, Evelio R. Gonzalez-Dalmau

Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

Multi-view Infant Cry Classification.

Yadisbel Martinez-Cañete, Hichem Sahli, Abel Díaz Berenguer

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

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

Representation Learning with Information Theory for COVID-19 Detection.

Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

CoRR, 2022

Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease.

Matías N. Bossa, Abel Díaz Berenguer, Hichem Sahli

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

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

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, 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

CoRR, 2020

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

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

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

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

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

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

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019