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CORDIS

MUSAE: a human-centred factory for a future technological sustainable development driven by arts

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Communication and Dissemination Report (a) (opens in new window)

Communication and Dissemination Report Lead UCD

Report on the DFA methodology and Training and Mentoring Format (a) (opens in new window)

Report on the DFA methodology and Training and Mentoring Format transfer

Communication kit and rules (opens in new window)

Communication kit and rules Lead UB

Evaluation process and committee (a) (opens in new window)

Evaluation process and committee Lead UB

Training and mentoring format (a) (opens in new window)

Training and mentoring format Lead ABACUS

Communication and Dissemination Plan (a) (opens in new window)

Communication and Dissemination Plan Lead UCD

Three open call thematic tracks and case studies on tech applications (opens in new window)

Three open call thematic tracks and case studies on tech applications Lead UCD

Communication and Dissemination Plan (b) (opens in new window)

Communication and Dissemination Plan Lead UCD

Report on Legal, Privacy, Ethical and Social Aspects (b) (opens in new window)

Report on Legal, Privacy, Ethical and Social Aspects (ABACUS)

Report on Legal, Privacy, Ethical and Social Aspects (a) (opens in new window)

Report on Legal Privacy Ethical and Social Aspects ABACUS

Publications

Multi-task visual food recognition by integrating an ontology supported with LLM (opens in new window)

Author(s): Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Published in: Journal of Visual Communication and Image Representation, Issue 110, 2025, ISSN 1047-3203
Publisher: Elsevier BV
DOI: 10.1016/J.JVCIR.2025.104484

<scp>MUSAE</scp>: Fusion of art and technology to address challenges in food and health (opens in new window)

Author(s): Aoife O'Gorman, McMahon Lauryn, Tatiana Efremenko, Marita Canina, Petia Ivanova Redava, Luis Eloy Puig, Angelo Cangelosi, Francesco Ferro, Francesco Dellino, Ramona Van Gansbeke, Maria Bulgheroni, Kosta Jovanovic, Lorraine Brennan
Published in: Nutrition Bulletin, Issue 50, 2025, ISSN 1471-9827
Publisher: Wiley
DOI: 10.1111/NBU.12723

FoodMem: Near real-time and precise food video segmentation (opens in new window)

Author(s): Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva
Published in: Pattern Recognition Letters, Issue 192, 2025, ISSN 0167-8655
Publisher: Elsevier BV
DOI: 10.1016/J.PATREC.2025.03.014

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels (opens in new window)

Author(s): Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
Published in: Neural Networks, Issue 172, 2024, ISSN 0893-6080
Publisher: Elsevier BV
DOI: 10.1016/J.NEUNET.2024.106122

Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams (opens in new window)

Author(s): Martín Menchón, Estefania Talavera, José Massa, Petia Radeva
Published in: Pervasive and Mobile Computing, Issue 95, 2023, ISSN 1574-1192
Publisher: Elsevier BV
DOI: 10.1016/J.PMCJ.2023.101846

CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection (opens in new window)

Author(s): Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Published in: Expert Systems with Applications, Issue 283, 2025, ISSN 0957-4174
Publisher: Elsevier BV
DOI: 10.1016/J.ESWA.2025.127774

Decoding class dynamics in learning with noisy labels (opens in new window)

Author(s): Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
Published in: Pattern Recognition Letters, Issue 184, 2024, ISSN 0167-8655
Publisher: Elsevier BV
DOI: 10.1016/J.PATREC.2024.04.012

Beyond Boundaries: Art-Tech Collaboration Driving Future-Oriented Innovation (opens in new window)

Author(s): Tatiana Efremenko, Marita Canina, Eva Monestier, Maria Ida Fiore
Published in: AHFE International, Creativity, Innovation and Entrepreneurship, 2024
Publisher: AHFE International
DOI: 10.54941/AHFE1004729

Continual Evidential Deep Learning for Out-of-Distribution Detection

Author(s): E. Aguilar, B. Raducanu, P. Radeva, J. van de Weijer
Published in: ICCVW 2023, 2023
Publisher: IEEE

Time-Aware Circulant Matrices for Question-Based Temporal Localization

Author(s): Bruni,P, Falcon,A.,Radeva, P
Published in: Image Analysis and Processing – ICIAP 2023, 2023, ISBN 978-3-031-43153-1
Publisher: Springer Link

CCLM: Class-Conditional Label Noise Modelling

Author(s): Tatjer, A., Nagarajan,B.,Marques,R.,Radeva, P.
Published in: Iberian Conference on Pattern Recognition and Image Analysis, 2023, ISBN 978-3-031-36616-1
Publisher: Springer Link

CCLM: Class-Conditional Label Noise Modelling (opens in new window)

Author(s): Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva
Published in: Lecture Notes in Computer Science ISBN: 9783031366154, 2023
Publisher: Pattern Recognition and Image Analysis (IbPRIA 2023)
DOI: 10.1007/978-3-031-36616-1_1

Good Fences Make Good Neighbours

Author(s): Imanol G Estepa ~Imanol_G_Estepa1 , Jesús M Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
Published in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Publisher: IEEE

Reliability of Single-Level Equality-Constrained Inverse Optimal Control (opens in new window)

Author(s): Becanovic, Filip; Jovanović, Kosta; Bonnet, Vincent
Published in: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Publisher: HAL Open Science
DOI: 10.1109/HUMANOIDS58906.2024.10769923

Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis (opens in new window)

Author(s): Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Published in: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2024
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012388200003660

Efficient Deep Learning Ensemble for Skin Lesion Classification

Author(s): David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva
Published in: VISIGRAPP, 2023
Publisher: SCITEPRESS

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction

Author(s): Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Published in: ICCV proceedings, 2023, ISSN 2380-7504
Publisher: IEEE

Time-Aware Circulant Matrices for Question-Based Temporal Localization (opens in new window)

Author(s): Pierfrancesco Bruni; Alex Falcon; Petia Radeva
Published in: Lecture Notes in Computer Science ISBN: 9783031431524, 2023
Publisher: Image Analysis and Processing – ICIAP 2023
DOI: 10.1007/978-3-031-43153-1_16

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