Research output per year
Research output per year
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Dive into the research topics where Evangelia Tsiligianni is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers
Marivani, I., Tsiligianni, E., Cornelis, B. & Deligiannis, N., 1 Sep 2022, In: IEEE Transactions on Circuits and Systems for Video Technology. 32, 9, p. 5830-5845 16 p.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
HCGM-NET: A deep unfolding network for financial index tracking
Pauwels, R. A. J., Tsiligianni, E. & Deligiannis, N., 2021, (Accepted/In press) IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP. IEEE, p. 1-5 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images
Tsiligianni, E., Zerva, M., Marivani, I., Deligiannis, N. & Kondi, L., 2021, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), Vol. 12906. p. 421-429 9 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
8 Citations (Scopus) -
Context-based analysis of urban air quality using an opportunistic mobile sensor network
Qin, X., Platisa, L., Do Huu, T., Tsiligianni, E., Hofman, J., Panzica La Manna, V., Deligiannis, N. & Philips, W., 28 Jul 2020, Science and Technologies for Smart Cities - 5th EAI International Summit, SmartCity360, Proceedings. Santos, H., Pereira, G. V., Budde, M., Lopes, S. F. & Nikolic, P. (eds.). Springer International Publishing, p. 285-300 16 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 323 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
6 Citations (Scopus) -
Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers
Marivani, I., Tsiligianni, E., Cornelis, B. & Deligiannis, N., 2020, European Signal Processing Conference (EUSIPCO). IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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HCGM-NET: A deep unfolding network for financial index tracking
Ruben Alan J Pauwels (Contributor), Evangelia Tsiligianni (Contributor) & Nikolaos Deligiannis (Speaker)
2021Activity: Talk or presentation › Talk or presentation at a conference
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Interpretable deep learning for multimodal super-resolution of medical images
Evangelia Tsiligianni (Speaker), Matina Zerva (Contributor), Iman Marivani (Contributor), Nikolaos Deligiannis (Contributor) & Lisimachos Kondi (Speaker)
2021Activity: Talk or presentation › Talk or presentation at a conference
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Interpretable Deep Multimodal Image Super-Resolution
Esther Rodrigo Bonet (Speaker), Iman Marivani (Speaker), Evangelia Tsiligianni (Contributor), Bruno Cornelis (Contributor) & Nikolaos Deligiannis (Contributor)
2020 → …Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Joint image super-resolution via recurrent convolutional neural networks with coupled sparse priors
Iman Marivani (Speaker), Evangelia Tsiligianni (Contributor), Bruno Cornelis (Contributor) & Nikolaos Deligiannis (Contributor)
2020Activity: Talk or presentation › Talk or presentation at a conference
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Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers
Iman Marivani (Speaker), Evangelia Tsiligianni (Contributor), Bruno Cornelis (Contributor) & Nikolaos Deligiannis (Contributor)
2020Activity: Talk or presentation › Talk or presentation at a conference