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Dive into the research topics where Abel Diaz Berenguer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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VLIR409: (COVID-19 PROMPT) Toward PrecisiOn Medicine for the Prediction of Treatment response to Covid-19 in Cuba
Deligiannis, N., Diaz Berenguer, A. & Van Damme, A.
1/09/22 → 31/08/24
Project: Fundamental
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Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease
Bossa, M., Berenguer, A. D. & Sahli, H., 6 Oct 2022, International Workshop on Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Abdulkadir, A., Bathula, D. R., Dvornek, N. C., Habes, M., Kia, S. M., Kumar, V. & Wolfers, T. (eds.). Springer Nature Switzerland AG, Vol. 13596. p. 95-103 9 p. (Lecture Notes in Computer Science; vol. 13596).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
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Representation Learning with Information Theory for COVID-19 Detection
Diaz Berenguer, A., Mukherjee, T., Bossa Bossa, M. N., Deligiannis, N. & Sahli, H., 4 Jul 2022, In: ArXiv.org. 2022, p. 1-10 10 p.Research output: Contribution to journal › Article
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Representation Learning with Information Theory to Detect COVID-19 and its Severity
Diaz Berenguer, A., Mukherjee, T., Da, Y., Bossa Bossa, M. N., Kvasnytsia, M., Vandemeulebroucke, J., Deligiannis, N. & Sahli, H., 3 Aug 2022, (Accepted/In press) ECCV 2022 Workshops.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
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Context-aware human trajectories prediction via latent variational model
Diaz Berenguer, A., Alioscha-Perez, M., Oveneke, M. C. & Sahli, H., 5 May 2021, In: IEEE Transactions on Circuits and Systems for Video Technology. 31, 5, p. 1876-1889 14 p., 9160982.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Learning to predict human behavior in crowded scenes
Diaz Berenguer, A., 2021Research output: Thesis › PhD Thesis
Prizes
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BENELEARN2019 Best Paper Award
Diaz Berenguer, Abel (Recipient), Oveneke, M. (Recipient), Perez Gonzalez, M. A. (Recipient) & Sahli, Hichem (Recipient), 9 Nov 2019
Prize: Prize (including medals and awards)
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Medical imaging-based Diagnosis & Prognosis with application to COVID-19 Detection from CT imaging.
Abel Diaz Berenguer (Speaker)
26 Aug 2022Activity: Talk or presentation › Talk at a school event
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Representation Learning with Information Theory to Detect COVID-19 and its Severity
Abel Diaz Berenguer (Speaker)
24 Oct 2022Activity: Talk or presentation › Talk or presentation at a conference
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Automatic Visual Tracking and Social Behavior Analysis for Surveillance
Abel Diaz Berenguer (Speaker)
6 Feb 2019Activity: Talk or presentation › Talk or presentation at a conference
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Paired supervised learning and unsupervised pretraining of CNN-architecture for violence detection in videos
Abel Diaz Berenguer (Speaker)
7 Nov 2019Activity: Talk or presentation › Talk or presentation at a conference
Thesis
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LEARNING TO PREDICT HUMAN BEHAVIOR IN CROWDED SCENES
Author: Diaz Berenguer, A., 2 Jul 2021Supervisor: Sahli, H. (Promotor), Stiens, J. (Promotor), Veliz, Y. Z. (External person) (Promotor), Nowe, A. (Jury), Pintelon, R. (Jury), Deligiannis, N. (Jury), Dutoit, T. (External person) (Jury) & Castellanos, A. L. (External person) (Jury)
Student thesis: Doctoral Thesis