Browsing by author "Tsiligianni, Evaggelia"
Now showing items 1-18 of 18
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A framework for learning affine transformations for multimodal sparse reconstruction
Mota, Joao; Tsiligianni, Evaggelia; Deligiannis, Nikos (2017) -
A review of urban air pollution monitoring and exposure assessment methods
Xie, Xingzhe; Semansjki, Ivana; Gautama, Sidharta; Tsiligianni, Evaggelia; Deligiannis, Nikos; Rajan, Raj Thilak; Pasveer, Frank; Philips, Wilfried (2017-12) -
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) -
Data aggregation and recovery for the internet of things: A compressive demixing approach
Zimos, Evangelos; Mota, Joao F. C.; Tsiligianni, Evaggelia; Rodrigues, Miguel R. D.; Deligiannis, Nikos (2018) -
Deep coupled-representation learning for sparse linear inverse problems with side information
Tsiligianni, Evaggelia; Deligiannis, Nikolaos (2019) -
Deep learning sparse ternary projections for compressed sensing of images
Nguyen, Duc Minh; Tsiligianni, Evaggelia; Deligiannis, Nikos (2017) -
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) -
Extendable neural matrix completion
Nguyen, Duc Minh; Tsiligianni, Evaggelia; Deligiannis, Nikos (2018) -
Graph-deep-learning-based inference of fine-grained air quality from mobile IoT sensors
Do, Tien Huu; Tsiligianni, Evaggelia; Qin, Xuening; Hofman, Jelle; Panzica La Manna, Valerio; Philips, Wilfried; Deligiannis, Nikolaos (2020) -
HCGM-NET: A DEEP UNFOLDING NETWORK FOR FINANCIAL INDEX TRACKING
Pauwels, Ruben; Tsiligianni, Evaggelia; Deligiannis, Nikolaos (2021) -
Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images
Tsiligianni, Evaggelia; Zerva, Matina; Marivani, Iman; Kondi, Lisimachos; Deligiannis, Nikolaos (2021) -
JOINT IMAGE SUPER-RESOLUTION VIA RECURRENT CONVOLUTIONAL NEURAL NETWORKS WITH COUPLED SPARSE PRIORS
Marivani, Iman; Tsiligianni, Evaggelia; Cornelis, Bruno; Deligiannis, Nikolaos (2020) -
Learning discrete matrix factorization models
Nguyen, Duc Minh; Tsiligianni, Evaggelia; Deligiannis, Nikos (2018) -
Matrix completion with variational graph autoencoders : application in hyperlocal air quality inference
Do, Tien Huu; Nguyen, Duc Minh; Tsiligianni, Evaggelia; Lopez Aguirre, Angel; La Manna, Valerio Panzica; Pasveer, Frank; Philips, Wilfried; Deligiannis, Nikos (2018) -
Regularizing autoencoder-based matrix completion models via manifold learning
Nguyen, Duc Minh; Tsiligianni, Evaggelia; Calderbank, Robert; Deligiannis, Nikos (2018) -
Twitter user geolocation using deep multiview learning
Do, Tien Huu; Tsiligianni, Evaggelia; Cornelis, Bruno; Deligiannis, Nikos (2018)