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2020 – today
- 2024
[j62]Abel Díaz Berenguer
, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli:
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94: 103107 (2024)- [j61]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, 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:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024) - [j60]Yiming Chen, Lusine Abrahamyan, Hichem Sahli, Nikos Deligiannis:
Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning. IEEE Open J. Commun. Soc. 5: 3503-3516 (2024) - [j59]Huynh Van Luong, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp:
Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing. Sensors 24(1): 49 (2024) - [j58]Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis:
Visualizing and Understanding Contrastive Learning. IEEE Trans. Image Process. 33: 541-555 (2024) - [j57]Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli:
Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. IEEE J. Biomed. Health Informatics 28(6): 3781-3792 (2024) - [j56]Yuqing Yang, Boris Joukovsky, José Oramas Mogrovejo, Tinne Tuytelaars, Nikos Deligiannis:
SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 253:1-253:29 (2024) - [j55]Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis:
Deep Unfolding Transformers for Sparse Recovery of Video. IEEE Trans. Signal Process. 72: 1782-1796 (2024) - [c106]Yiming Chen, Xiangyu Yang, Nikos Deligiannis:
Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients. ECCV (30) 2024: 397-413 - [c105]Esther Rodrigo Bonet, Nikos Deligiannis:
Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data. EUSIPCO 2024: 987-991 - [c104]Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis:
Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. ICASSP 2024: 6020-6024 - [c103]Esther Rodrigo Bonet, Nikos Deligiannis:
Physics-Guided Variational Graph Autoencoder For Air Quality Inference. ICASSP 2024: 6940-6944 - [c102]Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis, Hichem Sahli:
Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes. ICASSP 2024: 10146-10150 - [c101]Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis:
Holistic Representation Learning for Multitask Trajectory Anomaly Detection. WACV 2024: 6715-6725 - [i50]Fawaz Sammani, Nikos Deligiannis:
Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge. CoRR abs/2410.13016 (2024) - 2023
- [j54]Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis:
A Review on Fact Extraction and Verification. ACM Comput. Surv. 55(2): 12:1-12:35 (2023) - [j53]Yuqing Yang, Peng Xiao, Nikos Deligiannis:
Underwater localization with binary measurements: From compressed sensing to deep unfolding. Digit. Signal Process. 133: 103867 (2023) - [j52]Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
Traffic event detection as a slot filling problem. Eng. Appl. Artif. Intell. 123(Part A): 106202 (2023) - [c100]Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica:
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO 2023: 885-889 - [c99]Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis:
Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. EUSIPCO 2023: 1235-1239 - [c98]Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis:
Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding. ICASSP 2023: 1-5 - [c97]Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis:
Relevance Propagation through Deep Conditional Random Fields. ICASSP 2023: 1-5 - [c96]Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli:
A Review of Deep Learning Methods for Automated Clinical Coding. ICCAE 2023: 35-39 - [c95]Alexandros Stergiou, Nikos Deligiannis:
Leaping Into Memories: Space-Time Deep Feature Synthesis. ICCV 2023: 1966-1976 - [c94]Fawaz Sammani, Nikos Deligiannis:
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. ICCV (Workshops) 2023: 4636-4641 - [c93]Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis:
Visualizing Invariant Features in Vision Models. DSP 2023: 1-5 - [c92]Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis:
Model-Agnostic Visual Explanations via Approximate Bilinear Models. ICIP 2023: 1770-1774 - [c91]Yiming Chen, Nikos Deligiannis:
Locally Accumulated Adam For Distributed Training With Sparse Updates. ICIP 2023: 2395-2399 - [c90]Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis:
KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. ISPASS 2023: 337-339 - [c89]Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis:
Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. QoMEX 2023: 159-164 - [i49]Alexandros Stergiou, Nikos Deligiannis:
Leaping Into Memories: Space-Time Deep Feature Synthesis. CoRR abs/2303.09941 (2023) - [i48]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, 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:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i47]Fawaz Sammani, Nikos Deligiannis:
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. CoRR abs/2308.09033 (2023) - [i46]Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis:
Holistic Representation Learning for Multitask Trajectory Anomaly Detection. CoRR abs/2311.01851 (2023) - [i45]Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis:
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem. CoRR abs/2311.03061 (2023) - 2022
- [j51]Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds. Environ. Model. Softw. 149: 105306 (2022) - [j50]Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density. Remote. Sens. 14(11): 2613 (2022) - [j49]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5830-5845 (2022) - [j48]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Learned Gradient Compression for Distributed Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7330-7344 (2022) - [j47]Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference. IEEE Trans. Signal Inf. Process. over Networks 8: 499-513 (2022) - [c88]Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis:
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CVPR 2022: 8312-8322 - [c87]Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) 2022: 605-620 - [c86]Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Conditional Variational Graph Autoencoder for Air Quality Forecasting. EUSIPCO 2022: 1442-1446 - [c85]Tanmoy Mukherjee, Nikos Deligiannis:
Novel Class Discovery: A Dependency Approach. ICASSP 2022: 2525-2528 - [c84]Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis:
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. ICASSP 2022: 3219-3223 - [c83]Lusine Abrahamyan, Nikos Deligiannis:
Entropy-Based Feature Extraction for Real-Time Semantic Segmentation. ICIP 2022: 591-595 - [c82]Anh Minh Truong, Wilfried Philips, Nikos Deligiannis:
Novel View Synthesis for Sparse RGB-D camera networks. IVMSP 2022: 1-5 - [i44]Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis:
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. CoRR abs/2202.00997 (2022) - [i43]Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis:
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CoRR abs/2203.05081 (2022) - [i42]Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis:
Visualizing and Understanding Self-Supervised Vision Learning. CoRR abs/2206.09753 (2022) - [i41]Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli:
Representation Learning with Information Theory for COVID-19 Detection. CoRR abs/2207.01437 (2022) - [i40]Lusine Abrahamyan, Nikos Deligiannis:
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation. CoRR abs/2207.03233 (2022) - 2021
- [j46]Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis:
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9: 130042-130054 (2021) - [j45]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. Expert Syst. Appl. 174: 114711 (2021) - [j44]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. 30: 4099-4113 (2021) - [c81]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Autoencoder-Based Gradient Compression for Distributed Training. EUSIPCO 2021: 2179-2183 - [c80]Ruben Pauwels, Evaggelia Tsiligianni, Nikos Deligiannis:
HCGM-Net: A Deep Unfolding Network for Financial Index Tracking. ICASSP 2021: 3910-3914 - [c79]Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis:
Bias Loss for Mobile Neural Networks. ICCV 2021: 6536-6546 - [c78]Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network. ICIAI 2021: 221-227 - [c77]Nikos Deligiannis:
Keynote Lecture : Gradient compression for efficient distributed deep learning. ISPDC 2021: xiii - [c76]Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi:
Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. MICCAI (6) 2021: 421-429 - [c75]Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis:
Generalization error bounds for deep unfolding RNNs. UAI 2021: 1515-1524 - [d1]Boris Joukovsky, Huynh Van Luong, Nikos Deligiannis:
reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding. Zenodo, 2021
- [i39]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Learned Gradient Compression for Distributed Deep Learning. CoRR abs/2103.08870 (2021) - [i38]Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis:
Bias Loss for Mobile Neural Networks. CoRR abs/2107.11170 (2021) - [i37]Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
Traffic Event Detection as a Slot Filling Problem. CoRR abs/2109.06035 (2021) - 2020
- [j43]Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors. IEEE Internet Things J. 7(9): 8943-8955 (2020) - [j42]Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation. Signal Process. 176: 107699 (2020) - [j41]Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging 6: 57-72 (2020) - [j40]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Deep Unfolding for Guided Image Super-Resolution. IEEE Trans. Image Process. 29: 8443-8456 (2020) - [j39]Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis:
Geometric Matrix Completion With Deep Conditional Random Fields. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3579-3593 (2020) - [c74]Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. W-NUT@EMNLP 2020: 505-513 - [c73]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. EUSIPCO 2020: 780-783 - [c72]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO 2020: 1432-1436 - [c71]Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis:
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. EUSIPCO 2020: 2060-2064 - [c70]Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis:
Graph Auto-Encoder for Graph Signal Denoising. ICASSP 2020: 3322-3326 - [c69]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. ICIP 2020: 868-872 - [c68]Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network. ICPR Workshops (6) 2020: 139-147 - [c67]Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis:
Temporal Collaborative Filtering with Graph Convolutional Neural Networks. ICPR 2020: 4736-4742 - [c66]Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data. IEEE SENSORS 2020: 1-4 - [i36]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Deep Unfolding for Guided Image Super-Resolution. CoRR abs/2001.07575 (2020) - [i35]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁1-𝓁1 Minimization: Architecture Design and Generalization Analysis. CoRR abs/2003.08334 (2020) - [i34]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. CoRR abs/2008.12578 (2020) - [i33]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Interpretable Deep Multimodal Image Super-Resolution. CoRR abs/2009.03118 (2020) - [i32]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR abs/2010.00929 (2020) - [i31]Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis:
A Review on Fact Extraction and VERification: The FEVER case. CoRR abs/2010.03001 (2020) - [i30]Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis:
Temporal Collaborative Filtering with Graph Convolutional Neural Networks. CoRR abs/2010.06425 (2020) - [i29]Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis:
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. CoRR abs/2010.07564 (2020) - [i28]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:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [j38]Anh Minh Truong, Wilfried Philips, Nikos Deligiannis, Lusine Abrahamyan, Junzhi Guan:
Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †. Sensors 19(22): 4989 (2019) - [j37]Evaggelia Tsiligianni, Nikos Deligiannis:
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information. IEEE Signal Process. Lett. 26(12): 1768-1772 (2019) - [c65]Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis:
Rumour Detection Via News Propagation Dynamics and User Representation Learning. DSW 2019: 196-200 - [c64]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Image Super-resolution via Deep Unfolding with Side Information. EUSIPCO 2019: 1-5 - [c63]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis:
Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. ICASSP 2019: 7535-7539 - [c62]Anh Minh Truong, Wilfried Philips, Junzhi Guan, Nikos Deligiannis, Lusine Abrahamyan:
Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians. ICDSC 2019: 1:1-1:6 - [c61]Hung Duy Le, Huynh Van Luong, Nikos Deligiannis:
Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm. ICIP 2019: 2329-2333 - [c60]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. ICIP 2019: 2891-2895 - [c59]Steven Vanden Broucke, Luis Manuel Vidal Piña, Tien Huu Do, Nikos Deligiannis:
BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow. ISC2 2019: 432-437 - [c58]Steven Vanden Broucke, Nikos Deligiannis:
Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality. ISC2 2019: 685-690 - [c57]Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis:
Fake News Detection using Deep Markov Random Fields. NAACL-HLT (1) 2019: 1391-1400 - [c56]Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network. SmartCity360° 2019: 285-300 - [i27]Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis:
Geometric Matrix Completion with Deep Conditional Random Fields. CoRR abs/1901.10429 (2019) - [i26]Hung Duy Le, Huynh Van Luong, Nikos Deligiannis:
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm. CoRR abs/1902.06522 (2019) - [i25]Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis:
Rumour Detection via News Propagation Dynamics and User Representation Learning. CoRR abs/1905.03042 (2019) - [i24]Evaggelia Tsiligianni, Nikos Deligiannis:
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information. CoRR abs/1907.02511 (2019) - [i23]Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Image Super-resolution via Deep Unfolding with Side Information. CoRR abs/1910.08320 (2019) - [i22]Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. CoRR abs/1912.00838 (2019) - 2018
- [j36]Edison Cristofani, Mathias Becquaert, Sébastien Lambot, Marijke Vandewal, Johan H. Stiens, Nikos Deligiannis:
Random Subsampling and Data Preconditioning for Ground Penetrating Radars. IEEE Access 6: 26866-26880 (2018) - [j35]Mathias Becquaert, Edison Cristofani, Huynh Van Luong, Marijke Vandewal, Johan Stiens, Nikos Deligiannis:
Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information. Sensors 18(6): 1761 (2018) - [j34]