Use of tight frames for optimized compressed sensing. - Evaggelia Tsiligianni; Lisimachos P. Kondi; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Shape Error Concealment Based on a Shape-Preserving Boundary Approximation. - Evaggelia Tsiligianni; Lisimachos P. Kondi; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2012)

Construction of Incoherent Unit Norm Tight Frames With Application to Compressed Sensing. - Evaggelia Tsiligianni; Lisimachos P. Kondi; Aggelos K. Katsaggelos (IEEE Trans. Inf. Theory, 2014)

Preconditioning for Underdetermined Linear Systems with Sparse Solutions. - Evaggelia Tsiligianni; Lisimachos P. Kondi; Aggelos K. Katsaggelos (IEEE Signal Process. Lett., 2015)

Construction of approximately equiangular tight frames and their applications - Evaggelia Tsiligianni (2015)

Deep learning sparse ternary projections for compressed sensing of images. - Duc Minh Nguyen; Evaggelia Tsiligianni; Nikos Deligiannis (GlobalSIP, 2017)

Multiview Deep Learning for Predicting Twitter Users' Location. - Tien Huu Do; Duc Minh Nguyen; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (CoRR, 2017)

Approximate equiangular tight frames for compressed sensing and CDMA applications. - Evaggelia Tsiligianni; Lisimachos P. Kondi; Aggelos K. Katsaggelos (EURASIP J. Adv. Signal Process., 2017)

A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods. - Xingzhe Xie; Ivana Semanjski; Sidharta Gautama; Evaggelia Tsiligianni; Nikos Deligiannis; Raj Thilak Rajan; Frank J. Pasveer; Wilfried Philips (ISPRS Int. J. Geo Inf., 2017)

Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning. - Duc Minh Nguyen; Evaggelia Tsiligianni; A. Robert Calderbank; Nikos Deligiannis (EUSIPCO, 2018)

Twitter User Geolocation Using Deep Multiview Learning. - Tien Huu Do; Duc Minh Nguyen; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICASSP, 2018)

Extendable Neural Matrix Completion. - Duc Minh Nguyen; Evaggelia Tsiligianni; Nikos Deligiannis (ICASSP, 2018)

Data aggregation and recovery for the Internet of Things: A compressive demixing approach. - Evangelos Zimos; João F. C. Mota; Evaggelia Tsiligianni; Miguel R. D. Rodrigues; Nikos Deligiannis (WCNC, 2018)

Matrix Factorization via Deep Learning. - Duc Minh Nguyen; Evaggelia Tsiligianni; Nikos Deligiannis (CoRR, 2018)

Learning Discrete Matrix Factorization Models. - Duc Minh Nguyen; Evaggelia Tsiligianni; Nikos Deligiannis (IEEE Signal Process. Lett., 2018)

Multimodal Image Super-resolution via Deep Unfolding with Side Information. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2019)

Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. - Tien Huu Do; Duc Minh Nguyen; Evaggelia Tsiligianni; Angel Lopez Aguirre; Valerio Panzica La Manna; Frank J. Pasveer; Wilfried Philips; Nikos Deligiannis (ICASSP, 2019)

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2019)

Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network. - Xuening Qin; Ljiljana Platisa; Tien Huu Do; Evaggelia Tsiligianni; Jelle Hofman; Valerio Panzica La Manna; Nikos Deligiannis; Wilfried Philips (SmartCity360°, 2019)

Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information. - Evaggelia Tsiligianni; Nikos Deligiannis (IEEE Signal Process. Lett., 2019)

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2020)

Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2020)

Interpretable Deep Multimodal Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (CoRR, 2020)

Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors. - Tien Huu Do; Evaggelia Tsiligianni; Xuening Qin; Jelle Hofman; Valerio Panzica La Manna; Wilfried Philips; Nikos Deligiannis (IEEE Internet Things J., 2020)

Multimodal Deep Unfolding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Image Process., 2020)

HCGM-Net: A Deep Unfolding Network for Financial Index Tracking. - Ruben Pauwels; Evaggelia Tsiligianni; Nikos Deligiannis (ICASSP, 2021)

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. - Evaggelia Tsiligianni; Matina Zerva; Iman Marivani; Nikos Deligiannis; Lisimachos P. Kondi (MICCAI (6), 2021)

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Circuits Syst. Video Technol., 2022)