A review of urban air pollution monitoring and exposure assessment methods X Xie, I Semanjski, S Gautama, E Tsiligianni, N Deligiannis, RT Rajan, ... ISPRS International Journal of Geo-Information 6 (12), 389, 2017 | 173 | 2017 |
Construction of incoherent unit norm tight frames with application to compressed sensing EV Tsiligianni, LP Kondi, AK Katsaggelos IEEE Transactions on Information Theory 60 (4), 2319-2330, 2014 | 84 | 2014 |
Multiview deep learning for predicting twitter users' location TH Do, DM Nguyen, E Tsiligianni, B Cornelis, N Deligiannis arXiv preprint arXiv:1712.08091, 2017 | 50 | 2017 |
Twitter user geolocation using deep multiview learning TH Do, DM Nguyen, E Tsiligianni, B Cornelis, N Deligiannis 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 38 | 2018 |
Multimodal deep unfolding for guided image super-resolution I Marivani, E Tsiligianni, B Cornelis, N Deligiannis IEEE Transactions on Image Processing 29, 8443-8456, 2020 | 35 | 2020 |
Graph-deep-learning-based inference of fine-grained air quality from mobile IoT sensors TH Do, E Tsiligianni, X Qin, J Hofman, VP La Manna, W Philips, ... IEEE Internet of Things Journal 7 (9), 8943-8955, 2020 | 34 | 2020 |
Deep learning sparse ternary projections for compressed sensing of images DM Nguyen, E Tsiligianni, N Deligiannis 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 30 | 2017 |
Preconditioning for underdetermined linear systems with sparse solutions E Tsiligianni, LP Kondi, AK Katsaggelos IEEE Signal Processing Letters 22 (9), 1239-1243, 2015 | 29 | 2015 |
Matrix completion with variational graph autoencoders: Application in hyperlocal air quality inference TH Do, DM Nguyen, E Tsiligianni, AL Aguirre, VP La Manna, F Pasveer, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 28 | 2019 |
Extendable neural matrix completion DM Nguyen, E Tsiligianni, N Deligiannis 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 25 | 2018 |
Deep coupled-representation learning for sparse linear inverse problems with side information E Tsiligianni, N Deligiannis IEEE Signal Processing Letters 26 (12), 1768-1772, 2019 | 20 | 2019 |
Multimodal image super-resolution via deep unfolding with side information I Marivani, E Tsiligianni, B Cornelis, N Deligiannis 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 17 | 2019 |
Shape error concealment based on a shape-preserving boundary approximation E Tsiligianni, LP Kondi, AK Katsaggelos IEEE transactions on image processing 21 (8), 3573-3585, 2012 | 14 | 2012 |
Learning discrete matrix factorization models DM Nguyen, E Tsiligianni, N Deligiannis IEEE Signal Processing Letters 25 (5), 720-724, 2018 | 13 | 2018 |
Learned multimodal convolutional sparse coding for guided image super-resolution I Marivani, E Tsiligianni, B Cornelis, N Deligiannis 2019 IEEE International Conference on Image Processing (ICIP), 2891-2895, 2019 | 12 | 2019 |
Use of tight frames for optimized compressed sensing E Tsiligianni, LP Kondi, AK Katsaggelos 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 10 | 2012 |
Interpretable deep learning for multimodal super-resolution of medical images E Tsiligianni, M Zerva, I Marivani, N Deligiannis, L Kondi International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 8 | 2021 |
Context-based analysis of urban air quality using an opportunistic mobile sensor network X Qin, L Platisa, TH Do, E Tsiligianni, J Hofman, VPL Manna, ... International Summit Smart City 360°, 285-300, 2019 | 8 | 2019 |
Regularizing autoencoder-based matrix completion models via manifold learning DM Nguyen, E Tsiligianni, R Calderbank, N Deligiannis 2018 26th European Signal Processing Conference (EUSIPCO), 1880-1884, 2018 | 8 | 2018 |
Joint image super-resolution via recurrent convolutional neural networks with coupled sparse priors I Marivani, E Tsiligianni, B Cornelis, N Deligiannis 2020 IEEE International Conference on Image Processing (ICIP), 868-872, 2020 | 6 | 2020 |