Projecten per jaar
Persoonlijk profiel
Expertise
Nikos Deligiannis (Member, IEEE) received the Diploma degree in electrical and computer engineering from the University of Patras, Patras, Greece, in 2006, and the Ph.D. degree (Hons.) in engineering sciences from Vrije Universiteit Brussel (VUB), Brussels, Belgium, in 2012.
From 2013 to 2015, he was a Senior Researcher with the Department of Electronic and Electrical Engineering, University College London, London, U.K. He is currently an Associate Professor with the Department of Electronics and Informatics (ETRO), VUB. His current research interests focus on interpretable machine learning, explainable AI, federated AI, image and video processing, computer vision, and natural language processing.
Dr. Deligiannis is a member of the EURASIP and served as the Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning in the period 2021-2023. He serves as an Associate Editor for the IEEE Transactions on Image Processing and has been a Guest Editor for special issues at the EURASIP Journal on Advances in Signal Processing and the Signal Processing journal.
Keywords
- free keyword
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
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EUAR208: ENACT: Milieueffect op gezondheidszorg en welzijn en actieve interventies
da Silva Gomes, B. T., Stiens, J., Deligiannis, N., Sahli, H. & Argacha, J.
1/01/25 → 30/06/28
Project: Toegepast
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NSIS3: DESTINY:Koolstofarme oplossingen en technologie voor een nieuwe toekomst: Maatschappelijke Impact Netwerk van het Vlaams Instituut voor Koolstofarme Technologieën (FIDT)
Messagie, M., Coosemans, T., De Cauwer, C., Stiens, J., Munteanu, A., Deligiannis, N., da Silva Gomes, B. T., De Cruz, L., Braeken, A., Touhafi, A., Rahier, H., Hauffman, T., Hubin, A., Bellemans, A., Bram, S., De Troyer, T., Runacres, M., Denayer, J., Van Assche, T., Van Mierlo, J., Vanhaverbeke, L., Jacobs, V. A., Rombaut, E., El Baghdadi, M., Hegazy, O. & Berecibar, M.
1/11/24 → 31/10/29
Project: Fundamenteel
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CONO807: (Collen)-Francqui Onderzoekshoogleraar: Toward Trustworthy AI: Interpretable-by-design, Explainable, and Federated Deep Learning
1/09/24 → 1/09/27
Project: Fundamenteel
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BRGRD81: Joint R&D 2024: Naar gegevensgestuurde precisiegeneeskunde bij chronische obstructieve longziekte
Deligiannis, N., Sahli, H. & Diaz Berenguer, A.
1/05/24 → 30/04/27
Project: Toegepast
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IOFACC12: Tech4Health: Venturing in het domein van de gezondheidstechnologieën van de toekomst.
Stiens, J., Wambacq, P., da Silva Gomes, B. T., Sahli, H., Vandemeulebroucke, J., Jansen, B., Lemeire, J., Steenhaut, K., Munteanu, A., Deligiannis, N., Schelkens, P., Kuijk, M., Parvais, B., Chan, C. W., Van Schependom, J., Touhafi, A., Braeken, A., Runacres, M., Cornelis, B., Schretter, C., Blinder, D., Temmermans, F. & Islamaj, E.
1/01/24 → 30/06/25
Project: Toegepast
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GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
Rodrigo-Bonet, E. & Deligiannis, N., 2025, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 9, 1, blz. 281-291 11 blz.Onderzoeksoutput: Article › peer review
1 Citaat (Scopus) -
CO-OCCURRENCE GRAPH-ENHANCED HIERARCHICAL PREDICTION OF ICD CODES
Mahdi, S., Papagiannopoulou, E., Deligiannis, N. & Sahli, H., 2024, (Accepted/In press) 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). IEEE, 5 blz.Onderzoeksoutput: Conference paper
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Deep Unfolding Transformers for Sparse Recovery of Video
De Weerdt, B., Eldar, Y. C. & Deligiannis, N., 25 mrt 2024, In: IEEE Transactions on Signal Processing. 72, blz. 1782-1796 15 blz.Onderzoeksoutput: Article › peer review
Open AccessBestand1 Citaat (Scopus)55 Downloads (Pure) -
Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Stergiou, A., De Weerdt, B. & Deligiannis, N., 3 jan 2024, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, blz. 6729-6739 11 blz. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Onderzoeksoutput: Conference paper
Open AccessBestand4 Citaten (Scopus)84 Downloads (Pure) -
Human Pose Estimation Based on ISAR and Deep Learning
Javadi, S. H., Bourdoux, A., Deligiannis, N. & Sahli, H., 16 jul 2024, In: IEEE Sensors Journal. 24, 17, blz. 28324-28337 14 blz.Onderzoeksoutput: Article › peer review
Open AccessBestand9 Downloads (Pure)
Datasets
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reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding
Joukovsky, B. (Creator), Luong, V. H. (Creator) & Deligiannis, N. (Creator), Zenodo, 2021
Dataset
Prijzen
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Best Paper Award
Deligiannis, Nikolaos (Recipient) & Munteanu, Adrian (Recipient), aug 2011
Prijs: Prize (including medals and awards)
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Best Paper Award at the 2019 IEEE International Conference on Image Processing
Le, H. (Recipient), Luong, V. H. (Recipient) & Deligiannis, Nikolaos (Recipient), 2019
Prijs: Prize (including medals and awards)
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EURASIP Best PhD Award
Deligiannis, Nikolaos (Recipient), aug 2017
Prijs: Prize (including medals and awards)
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Scientific prize IBM Belgium for Informatics (FWO)
Deligiannis, Nikolaos (Recipient), 2013
Prijs: Prize (including medals and awards)
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Young Scientist Best Paper Award
Deligiannis, Nikolaos (Recipient), Do Huu, T. (Recipient) & Nguyen, M. D. (Recipient), 2018
Prijs: Prize (including medals and awards)
Activiteiten
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Model-Agnostic Visual Explanations via Approximate Bilinear Models
Boris Joukovsky (Speaker), Fawaz Sammani (Speaker) & Nikolaos Deligiannis (Contributor)
11 okt 2023Activiteit: Talk or presentation at a conference
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KORD-I: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming
Athanasios Kordelas (Speaker) & Nikolaos Deligiannis (Contributor)
2023Activiteit: Talk or presentation at a conference
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Relevance Propagation through Deep Conditional Random Fields
Xiangyu Yang (Speaker), Boris Joukovsky (Speaker) & Nikolaos Deligiannis (Contributor)
31 mei 2023Activiteit: Talk or presentation at a conference
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A Review of Deep Learning Methods for Automated Clinical Coding
Soha Sadat Mahdi (Speaker), Nikolaos Deligiannis (Contributor) & Hichem Sahli (Contributor)
2023Activiteit: Talk or presentation at a conference
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LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES
Yiming Chen (Speaker) & Nikolaos Deligiannis (Contributor)
8 okt 2023 → 11 okt 2023Activiteit: Talk or presentation at a conference
Scriptie
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AEON MK.1 Distributed Query System in Internet of Things Networks
Auteur: Deligiannis, N., Munteanu, A. & Ilovan, I., 2023Scriptie/Masterproef: Master's Thesis
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Algorithmic trading using deep learning, sentiment analysis and deep reinforcement learning
Auteur: Ayoub, M. & Deligiannis, N., 2019Scriptie/Masterproef: Master's Thesis
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Applying Weight Decay and Max-Pooling Gradient Selection Method in Distributed Training
Auteur: Deligiannis, N. & Yan, X., 2021Scriptie/Masterproef: Master's Thesis
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Big data and machine learning techniques to improve the forecast of water levels
Auteur: Deligiannis, N. & Bokungu, J., 2019Scriptie/Masterproef: Master's Thesis
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Consistent stereoscopic video projection on curved displays
Auteur: Lyu, Y. & Deligiannis, N., 2018Begeleider: Munteanu, A. (Promotor)
Scriptie/Masterproef: Master's Thesis