Projects per year
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Collaborations and top research areas from the last five years
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FWOSB140: DUST: Designing Interpretable and Efficient Deep Unfolding Sparse Transformers for Multimodal Image Processing and Generation
Deligiannis, N. & De Weerdt, B.
1/11/22 → 31/10/26
Project: Fundamental
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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
Research output
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A Review of Deep Learning Methods for Automated Clinical Coding
Mahdi, S. S., Deligiannis, N. & Sahli, H., 2023, (Accepted/In press) IEEE ICCAE 2023 Conference. IEEE, p. 1 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Designing Transformer networks for sparse recovery of sequential data using deep unfolding
De Weerdt, B., Eldar, Y. C. & Deligiannis, N., 2023, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, p. 1-5 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile24 Downloads (Pure) -
Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks
Yang, Y., Mahmoudpour, S., Schelkens, P. & Deligiannis, N., 21 Apr 2023, (Accepted/In press) International Conference on Quality of Multimedia Experience (QoMEX).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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KORD-I: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming
Kordelas, A., Spyrou, T., Voulgaris, S., Megalooikonomou, V. & Deligiannis, N., 2023, (Accepted/In press) 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-23). p. 1-3 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
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Learned layered coding for Successive Refinement in the Wyner-Ziv Problem
Joukovsky, B., Weerdt, B. D. & Deligiannis, N., 6 Nov 2023, (Submitted) 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
File7 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
Prizes
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Best Paper Award
Deligiannis, Nikolaos (Recipient) & Munteanu, Adrian (Recipient), Aug 2011
Prize: 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
Prize: Prize (including medals and awards)
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EURASIP Best PhD Award
Deligiannis, Nikolaos (Recipient), Aug 2017
Prize: Prize (including medals and awards)
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Scientific prize IBM Belgium for Informatics (FWO)
Deligiannis, Nikolaos (Recipient), 2013
Prize: Prize (including medals and awards)
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Young Scientist Best Paper Award
Deligiannis, Nikolaos (Recipient), Do Huu, Tien (Recipient) & Nguyen, M. D. (Recipient), 2018
Prize: Prize (including medals and awards)
Activities
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Relevance Propagation through Deep Conditional Random Fields
Xiangyu Yang (Speaker), Boris Joukovsky (Speaker) & Nikolaos Deligiannis (Contributor)
31 May 2023Activity: Talk or presentation › 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)
2023Activity: Talk or presentation › 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)
2023Activity: Talk or presentation › Talk or presentation at a conference
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30th European Signal Processing Conference
Nikolaos Deligiannis (Chair)
2022Activity: Participating in or organising an event › Participation in conference
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2022 IEEE International Conference on Accoustics, Speech and Signal Processing
Nikolaos Deligiannis (Participant)
2022Activity: Participating in or organising an event › Participation in conference
Thesis
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AEON MK.1 Distributed Query System in Internet of Things Networks
Author: Deligiannis, N., Munteanu, A. & Ilovan, I., 2023Student thesis: Master's Thesis
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Algorithmic trading using deep learning, sentiment analysis and deep reinforcement learning
Author: Ayoub, M. & Deligiannis, N., 2019Student thesis: Master's Thesis
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Applying Weight Decay and Max-Pooling Gradient Selection Method in Distributed Training
Author: Deligiannis, N. & Yan, X., 2021Student thesis: Master's Thesis
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Big data and machine learning techniques to improve the forecast of water levels
Author: Deligiannis, N. & Bokungu, J., 2019Student thesis: Master's Thesis
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Consistent stereoscopic video projection on curved displays
Author: Lyu, Y. & Deligiannis, N., 2018Supervisor: Munteanu, A. (Promotor)
Student thesis: Master's Thesis