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CORDIS - Risultati della ricerca dell’UE
CORDIS

Frugal Artificial Intelligence and Application in Astrophysics

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on the outreach activities and mass media material for the period M1-M15 (si apre in una nuova finestra)

Report on the dissemination activities to academic audience (workshops, summer schools, etc.) Outreach activities to non-academic audience including presentations of the ERA Chair at exhibitions, industrial fora, etc.

Dissemination, exploitation and communication strategy and action plan, 1st edition (si apre in una nuova finestra)

A report on the dissemination of the project activities and results and the exploitation of its outcomes. The dissemination will be twofold. Dissemination to the scientific community we be achieved primarily through publications in scientific journals, conferences, and academic presentations. The exploitation plan will comprise the identification of all exploitable outcomes, the respective stakeholders per exploitable outcome, and the optimal exploitation route and business model per outcome.

Project management and quality assurance plan (si apre in una nuova finestra)

A report outlining the project technical and financial management structure and the quality assurance workflow. The described structure and plan will ensure that all deliverables are submitted as planned and adhere to high scientific standards.

Report on R&D trends, best practices and future missions (si apre in una nuova finestra)

A comprehensive uptake of the current and forthcoming research and innovation agenda, within Europe and internationally, in the field of Astroinformatics. Definition of the options and alternatives of the Program, based on internationally established best practises and future technological trends. Consideration of existing paradigms, from academic research and innovative end-user services, related to the Program’s activities and definition of its future position in the research and academic field.

Report on research and educational activities and associated material for the period M1-M15 (si apre in una nuova finestra)

Report and demos on the Astrophysics signal processing research, the educationsl activities (workshops, summer schools, tutorials, etc.), and the personnel secondments for the Transfer of Knoweledge.

Move of the ERA Chair to FORTH, outline of research group structure, and timeline of recruitment (si apre in una nuova finestra)

Detailed description on the move of the ERA Chair to the host institution confirming the move and the arrangements in place. Initial planning phase of the structure and the size of the ERA Chair group, preparation of job descriptions and advertisement of positions worldwide. Selection and appointment of the members of the research group.

Website of the project (si apre in una nuova finestra)

Set-up and maintenance of the project's website. The website will promote the objectives, activities, achievements, and the events to be organised, where international stakeholders and scientists, but also the local community and public schools will attend.

Data Management Plan / OSCeP platform, 1st edition (si apre in una nuova finestra)

A detailed Data Management Plan where the access and use of all data collected or generated by the Program will be clearly defined. We will also develop an Open Science Collaboration e-Platform (OSCeP) for sharing data, computational tools, and mathematical models with the academic and industrial communities.

Pubblicazioni

International Journal of Molecular Sciences (si apre in una nuova finestra)

Autori: Michaela Zervou; Effrosyni Doutsi; Yannis Pantazis; Panagiotis Tsakalides
Pubblicato in: International Journal of Molecular Sciences, 2024, ISSN 1422-0067
Editore: MDPI
DOI: 10.3390/IJMS25105506

Astronomy and Astrophysics (si apre in una nuova finestra)

Autori: H. Leterme; J. Fadili; J.-L. Starck
Pubblicato in: Astronomy & Astrophysics, 2025, ISSN 0004-6361
Editore: Springer Verlag
DOI: 10.48550/ARXIV.2410.08831

Ground-based image deconvolution with Swin Transformer UNet (si apre in una nuova finestra)

Autori: U. Akhaury, P. Jablonka, J.-L. Starck, F. Courbin
Pubblicato in: Astronomy & Astrophysics, Numero 688, 2025, ISSN 0004-6361
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2405.07842

Breaking the degeneracy in stellar spectral classification from single wide-band images (si apre in una nuova finestra)

Autori: Ezequiel Centofanti, Samuel Farrens, Jean-Luc Starck, Tobías Liaudat, Alex Szapiro, Jennifer Pollack
Pubblicato in: Astronomy & Astrophysics, Numero 694, 2025, ISSN 0004-6361
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2501.16151

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification (si apre in una nuova finestra)

Autori: Eirini Troullinou; Grigorios Tsagkatakis; Attila Losonczy; Panayiota Poirazi; Panagiotis Tsakalides
Pubblicato in: IEEE Transactions on Artificial Intelligence, 2024, ISSN 2691-4581
Editore: IEEE
DOI: 10.1109/tai.2023.3249685

Federated Learning for Remote Sensing Image Classification Using Sparse Image Representations (si apre in una nuova finestra)

Autori: Christina Kopidaki; Grigorios Tsagkatakis; Panagiotis Tsakalides
Pubblicato in: IEEE Geoscience and Remote Sensing Letters, 2025, ISSN 1558-0571
Editore: IEEE
DOI: 10.1109/LGRS.2025.3557579

Joint multiband deconvolution for Euclid and Vera C. Rubin images (si apre in una nuova finestra)

Autori: U. Akhaury; P. Jablonka; F. Courbin; J.-L. Starck
Pubblicato in: Astronomy & Astrophysics, 2025, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2502.17177

Astronomy and Astrophysics (si apre in una nuova finestra)

Autori: H. Leterme; J. Fadili; J.-L. Starck
Pubblicato in: Astronomy & Astrophysics, 2025, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2410.08831

Remote Sensing (si apre in una nuova finestra)

Autori: Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides
Pubblicato in: Remote Sensing, 2024, ISSN 2072-4292
Editore: MDPI
DOI: 10.3390/RS16112020

Optimal neural summarization for full-field weak lensing cosmological implicit inference (si apre in una nuova finestra)

Autori: Justine Zeghal; Denise Lanzieri; T. Lucas Makinen; Alexandre Boucaud; Jean-Luc Starck; François Lanusse
Pubblicato in: Astronomy & Astrophysics, 2025, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2407.10877

Astronomy and Astrophysics (si apre in una nuova finestra)

Autori: Ezequiel Centofanti; Samuel Farrens; Jean-Luc Starck; Tobías Liaudat; Alex Szapiro; Jennifer Pollack
Pubblicato in: Astronomy & Astrophysics, 2025, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2501.16151

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies (si apre in una nuova finestra)

Autori: Tobias Liaudat, Jean-Luc Starck, and Martin Kilbinger
Pubblicato in: Frontiers in Astronomy and Space Sciences, 2023, ISSN 2296-987X
Editore: Frontiers
DOI: 10.48550/arxiv.2306.07996

Astronomy and Astrophysics (si apre in una nuova finestra)

Autori: U. Akhaury; P. Jablonka; J.-L. Starck; F. Courbin
Pubblicato in: Astronomy & Astrophysics, 2024, ISSN 0004-6361
Editore: Springer Verlag
DOI: 10.48550/ARXIV.2405.07842

Theoretical wavelet <i>ℓ</i><sub>1</sub>-norm from one-point probability density function prediction (si apre in una nuova finestra)

Autori: Vilasini Tinnaneri Sreekanth; Sandrine Codis; Alexandre Barthelemy; Jean-Luc Starck
Pubblicato in: Astronomy &amp; Astrophysics, 2024, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV:2406.10033

Impact of weak-lensing mass-mapping algorithms on cosmology inference (si apre in una nuova finestra)

Autori: Andreas Tersenov; Lucie Baumont; Jean-Luc Starck; Martin Kilbinger
Pubblicato in: Astronomy &amp; Astrophysics, 2025, ISSN 1432-0746
Editore: EDP Sciences
DOI: 10.48550/ARXIV.2501.06961

Necessary reforms in the Greek academic system (si apre in una nuova finestra)

Autori: Alexandros Stamatakis; Alexandros Stamatakis; Alexandros Stamatakis; Panagiotis Tsakalides; Panagiotis Tsakalides; Melina Tamiolaki; Melina Tamiolaki; Melina Tamiolaki
Pubblicato in: Frontiers in Political Science, 2024, ISSN 2673-3145
Editore: Frontiers
DOI: 10.5445/IR/1000177163

A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification (si apre in una nuova finestra)

Autori: E. Troullinou, G. Tsagkatakis, A. Losonczy, P. Poirazi, and P. Tsakalides
Pubblicato in: Proceedings 57th Annual Asilomar Conference on Signals, Systems and Computers, 2023, ISSN 1058-6393
Editore: IEEE
DOI: 10.1109/IEEECONF59524.2023b

Few-shot Classification Using Tensor Completion (si apre in una nuova finestra)

Autori: A. Aidini, G. Tsagkatakis, N. Sidiropoulos, and P. Tsakalides
Pubblicato in: Proceedings 57th Annual Asilomar Conference on Signals, Systems and Computers, Numero 57, 2023, ISSN 1058-6393
Editore: IEEE
DOI: 10.1109/IEEECONF59524.2023

Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold (si apre in una nuova finestra)

Autori: A. Zervou, E. Doutsi, Y. Pantazis, and P. Tsakalides
Pubblicato in: Proceedings 2024 International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘24), 2024, ISSN 0736-7791
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10446946

Efficient Protein Structural Class Prediction via Chaos Game Representation and Recurrent Neural Networks (si apre in una nuova finestra)

Autori: A. Zervou, E. Doutsi, and P. Tsakalides
Pubblicato in: Proceedings 2023 International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘23), 2023
Editore: IEEE
DOI: 10.1109/ICASSP49357.2023

Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments

Autori: Ε. Kariotakis, G. Tsagkatakis, P. Tsakalides, and A. Kyrillidis
Pubblicato in: Proceedings Conference on Parsimony and Learning (CPAL ‘24), 2024
Editore: OpenReview.net

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