Evaggelia Tsiligianni

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multimodal Deep Unfolding for Guided Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors.

[BibT_eX]

[DOI]

Xuening Qin

Jelle Hofman

Valerio Panzica La Manna

Wilfried Philips

IEEE Internet Things J., 2020

Interpretable Deep Multimodal Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network.

[BibT_eX]

[DOI]

Xuening Qin

Ljiljana Platisa

Jelle Hofman

Valerio Panzica La Manna

Wilfried Philips

Proceedings of the Science and Technologies for Smart Cities, 2019

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference.

[BibT_eX]

[DOI]

Angel Lopez Aguirre

Valerio Panzica La Manna

Frank J. Pasveer

Wilfried Philips

Proceedings of the IEEE International Conference on Acoustics, 2019

Multimodal Image Super-resolution via Deep Unfolding with Side Information.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Learning Discrete Matrix Factorization Models.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Matrix Factorization via Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Data aggregation and recovery for the Internet of Things: A compressive demixing approach.

[BibT_eX]

[DOI]

Evangelos Zimos

João F. C. Mota

Miguel R. D. Rodrigues

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Extendable Neural Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Twitter User Geolocation Using Deep Multiview Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning.

[BibT_eX]

[DOI]

A. Robert Calderbank

Proceedings of the 26th European Signal Processing Conference, 2018

2017

A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods.

[BibT_eX]

[DOI]

Xingzhe Xie

Ivana Semanjski

Sidharta Gautama

ISPRS Int. J. Geo Inf., 2017

Approximate equiangular tight frames for compressed sensing and CDMA applications.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2017

Multiview Deep Learning for Predicting Twitter Users' Location.

[BibT_eX]

[DOI]

CoRR, 2017

Deep learning sparse ternary projections for compressed sensing of images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2015

Construction of approximately equiangular tight frames and their applications

[BibT_eX]

[DOI]

PhD thesis, 2015

Preconditioning for Underdetermined Linear Systems with Sparse Solutions.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

2014

Construction of Incoherent Unit Norm Tight Frames With Application to Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

2012

Shape Error Concealment Based on a Shape-Preserving Boundary Approximation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Use of tight frames for optimized compressed sensing.

[BibT_eX]

[DOI]