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CORDIS - Forschungsergebnisse der EU
CORDIS

Frugal Artificial Intelligence and Application in Astrophysics

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Report on the outreach activities and mass media material for the period M1-M15 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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.

Veröffentlichungen

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification (öffnet in neuem Fenster)

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

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies (öffnet in neuem Fenster)

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

A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification (öffnet in neuem Fenster)

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

Few-shot Classification Using Tensor Completion (öffnet in neuem Fenster)

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

Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold (öffnet in neuem Fenster)

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

Efficient Protein Structural Class Prediction via Chaos Game Representation and Recurrent Neural Networks (öffnet in neuem Fenster)

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

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

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

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