Browsing by author "Deligiannis, Nikolaos"
Now showing items 1-20 of 62
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A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation
Van Luong, Huynh; Joukovsky, Boris; Eldar, Yonina C.; Deligiannis, Nikolaos (2021) -
A multilabel BERT-based system for predicting COVID-19 events
Yang, Xiangyu; Bekoulis, Ioannis; Deligiannis, Nikolaos (2020) -
A Review on Fact Extraction and Verification
Bekoulis, Ioannis; Papagiannopoulou, Christina; Deligiannis, Nikolaos (2023) -
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
Yang, Yuqing; Xiao, Peng; Deligiannis, Nikolaos (2021) -
Autoencoder-Based Gradient Compression for Distributed Training
Abrahamyan, Lusine; Chen, Yiming; Bekoulis, Giannis; Deligiannis, Nikolaos (2021) -
Automatic extrinsic calibration of camera networks based on pedestrians
Truong, Minh Anh; Philips, Wilfried; Guan, Junzhi; Deligiannis, Nikolaos; Abrahamyan, Lusine (2019) -
Automatic multi-camera extrinsic parameter calibration based on pedestrian torsors
Truong, Anh Minh; Philips, Wilfried; Deligiannis, Nikolaos; Abrahamyan, Lusine; Guan, Junzhi (2019) -
Bias Loss for Mobile Neural Networks
Abrahamyan, Lusine; Ziatchin, Valentin; Chen, Yiming; Deligiannis, Nikolaos (2021) -
BRUBIKE: A dataset of bicycle traffic and weather conditions for predicting cycling flow
Vanden Broucke, Steven; Pina, L. M. V.; Huu, Tien Do; Deligiannis, Nikolaos (2019) -
Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas
Hofman, Jelle; Nikolaou, Mania; Do Huu, Tien; Qin, Xuening; Rodrigo, Esther; Philips, Wilfried; Deligiannis, Nikolaos; Panzica La Manna, Valerio (2021) -
Conditional Variational Graph Autoencoder for Air Quality Forecasting
Rodrigo, Esther; Huu, Tien Do; Qin, Xuening; Hofman, Jelle; Panzica La Manna, Valerio; Philips, Wilfried; Deligiannis, Nikolaos (2022) -
Context-Aware Deep Markov Random Fields for Fake News Detection
Berneman, Marc; Huu, Tien Do; Patro, Jasabanta; Bekoulis, Ioannis; Deligiannis, Nikolaos (2021) -
Context-based analysis of urban air quality using an opportunistic mobile sensor network
Qin, Xuening; Platisa, Ljiljana; Huu, Tien Do; Tsiligianni, Evaggelia; Hofman, Jelle; Panzica La Manna, Valerio; Deligiannis, Nikolaos; Philips, Wilfried (2019) -
Context-based analysis of urban air quality using an opportunistic mobile sensor network
Qin, Xuening; Platisa, Ljiljana; Huu Do, Tien; Tsiligianni, Evaggelia; Hofman, Jelle; Panzica La Manna, Valerio; Deligiannis, Nikolaos; Philips, Wilfried (2019) -
Deep coupled-representation learning for sparse linear inverse problems with side information
Tsiligianni, Evaggelia; Deligiannis, Nikolaos (2019) -
Deep-learning-based hyperlocal air quality monitoring for smart cities
Huu, Tien Do; Rodrigo, Esther; Hofman, Jelle; Nikolaou, Mania; Panzica La Manna, Valerio; Philips, Wilfried; Deligiannis, Nikolaos (2020) -
DeepFPC: A Deep Unfolded Network for Sparse Signal Recovery from 1-Bit Measurements With Application to DOA Estimation
Xiao, Peng; Liao, Bin; Deligiannis, Nikolaos (2020) -
Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers
Marivani, Iman; Tsiligianni, Evaggelia; Cornelis, Bruno; Deligiannis, Nikolaos (2022) -
Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers
Tsiligianni, Evaggelia; Cornelis, Bruno; Marivani, Iman; Deligiannis, Nikolaos (2021) -
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding
Van Luong, Huynh; Joukovsky, Boris; Deligiannis, Nikolaos (2021)