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Abel Díaz Berenguer
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2020 – today
- 2024
- [j7]Yifei Da
, Matías Nicolás Bossa
Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training. IEEE Access 12: 10120-10134 (2024) - [j6]Ercheng Pei
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. Expert Syst. Appl. 236: 121290 (2024) - [j5]Abel Díaz Berenguer
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94: 103107 (2024) - [j4]Luuk H. Boulogne
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024) - 2023
- [c8]Yadisbel Martinez-Cañete
Multi-view Infant Cry Classification. IbPRIA 2023: 639-653 - [c7]Eduardo Garea Llano
Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. MCPR 2023: 211-220 - [c6]Maryna Kvasnytsia
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations. MILLanD@MICCAI 2023: 71-81 - [i3]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
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - 2022
- [j3]Meshia Cédric Oveneke
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions. IEEE Trans. Affect. Comput. 13(1): 426-439 (2022) - [c5]Abel Díaz Berenguer
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) 2022: 605-620 - [c4]Matías N. Bossa
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease. MLCN@MICCAI 2022: 95-103 - [i2]Abel Díaz Berenguer
Representation Learning with Information Theory for COVID-19 Detection. CoRR abs/2207.01437 (2022) - 2021
- [j2]Abel Díaz Berenguer
Context-Aware Human Trajectories Prediction via Latent Variational Model. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1876-1889 (2021) - 2020
- [c3]Mitchel Alioscha-Pérez
Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards. ICAIIC 2020: 276-281 - [i1]Abel Díaz Berenguer
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [j1]Abel Díaz Berenguer
GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition. IEEE Access 7: 137122-137135 (2019) - [c2]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 - [c1]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
Coauthor Index
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