Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Multi-Attribute, Multimodal Bias Mitigation in AI Systems

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

Data Management Plan (opens in new window)

First version of the Data Management Plan. It will be maintained and updated internally throughout the project.

User Requirements and Architecture (opens in new window)

This report will document the activities, methodology and outcomes of the co-creation and analysis of system/user requirements and will outline the overall architecture of the MAMMoth bias toolkit. UNIBO will be in charge of the user requirements analysis, EXUS will lead the toolkit architecture design, and CERTH will coordinate the overall process and writing of the deliverable.

Publications

hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool (opens in new window)

Author(s): Mauritz N. Cartier van Dissel, Samuel Martin-Gutierrez, Lisette Espín-Noboa, Ana María Jaramillo, Fariba Karimi
Published in: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
Publisher: ACM
DOI: 10.1145/3715275.3732143

Badd: Bias mitigation through bias addition

Author(s): Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Published in: 2025
Publisher: IEEE/CVF

Studying bias in visual features through the lens of optimal transport. (opens in new window)

Author(s): Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, and Eirini Ntoutsi
Published in: Studying bias in visual features through the lens of optimal transport., 2023
Publisher: Data Mining and Knowledge Discovery
DOI: 10.1007/s10618-023-00972-2

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning (opens in new window)

Author(s): Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
Published in: 2024 International Joint Conference on Neural Networks (IJCNN), 2024
Publisher: IEEE
DOI: 10.1109/IJCNN60899.2024.10651221

Face-swapping based Data Augmentation for ID Document and Selfie Face Verification

Author(s): Elmokhtar Mohamed Moussa, Ioannis Sarridis, Emmanouil Krasanakis, Nathan Ramoly, Symeon Papadopoulos, Ahmad Montaser Awal, Lara Younes
Published in: Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, Issue pp. 1421-1428, 2025
Publisher: CVF

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering (opens in new window)

Author(s): Ghodsi, S., Amjad Seyedi, S., and Ntoutsi, E
Published in: Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering, 2024, ISBN 978-981-97-2242-6
Publisher: Springer, Singapore
DOI: 10.1007/978-981-97-2242-6_23

"""Multi-dimensional discrimination in Law and Machine Learning - A comparative overview""" (opens in new window)

Author(s): Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Published in: """Multi-dimensional discrimination in Law and Machine Learning - A comparative overview""", 2023, ISBN 9798400701924
Publisher: ACM FAccT
DOI: 10.1145/3593013.3593979

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb (opens in new window)

Author(s): """Swati, Swati, Arjun Roy, Eirini Ntoutsi """
Published in: 2024
Publisher: EWAF 2024
DOI: 10.48550/ARXIV.2407.16892

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview (opens in new window)

Author(s): Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Published in: 2023 ACM Conference on Fairness, Accountability, and Transparency, 2025
Publisher: ACM
DOI: 10.1145/3593013.3593979

Adversarial Robustness of VAEs across Intersectional Subgroups (opens in new window)

Author(s): Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Ntoutsi, Eirini
Published in: 2024
Publisher: Accepted in the BIAS workshop, co-located with ECML PKDD 2024
DOI: 10.48550/ARXIV.2407.03864

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations (opens in new window)

Author(s): Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Published in: Proceedings of the 2024 International Conference on Multimedia Retrieval, 2025
Publisher: ACM
DOI: 10.1145/3652583.3658007

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study (opens in new window)

Author(s): Panagiotou, Emmanouil and Roy, Arjun and Ntoutsi, Eirini
Published in: 2024
Publisher: Accepted in the BIAS workshop, co-located with ECML PKDD 2024
DOI: 10.48550/ARXIV.2409.05215

Achieving Socio-Economic Parity through the Lens of EU AI Act (opens in new window)

Author(s): Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi
Published in: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025, ISBN 9798400714825
Publisher: ACM
DOI: 10.1145/3715275.3732125

Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning (opens in new window)

Author(s): Emmanouil Panagiotou, Eirini Ntoutsi
Published in: 2025
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-74630-7_24

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes (opens in new window)

Author(s): Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos
Published in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024
Publisher: IEEE
DOI: 10.1109/FG59268.2024.10581864

Towards Standardizing AI Bias Exploration (opens in new window)

Author(s): Emmanouil Krasanakis, Symeon Papadopoulos
Published in: Workshop on AI bias: Measurements, Mitigation, Explanation Strategies (AIMMES 2024), 2024, ISSN 2331-8422
Publisher: Workshop on AI bias: Measurements, Mitigation, Explanation Strategies (AIMMES 2024)
DOI: 10.48550/arXiv.2405.19022

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE (opens in new window)

Author(s): Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
Published in: Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Publisher: ACM
DOI: 10.1145/3677052.3698673

Training in Co-Creation as a Methodological Approach to Improve AI Fairness (opens in new window)

Author(s): Ian Slesinger, Evren Yalaz, Stavroula Rizou, Marta Gibin, Emmanouil Krasanakis, Symeon Papadopoulos
Published in: Societies, Issue 14, 2024, ISSN 2075-4698
Publisher: MDPI AG
DOI: 10.3390/SOC14120259

Universal Local Attractors on Graphs (opens in new window)

Author(s): Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris
Published in: Applied Sciences, Issue 14, 2024, ISSN 2076-3417
Publisher: MDPI AG
DOI: 10.3390/APP14114533

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems (opens in new window)

Author(s): Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha
Published in: FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems, 2024, ISSN 1566-2535
Publisher: Elsevier
DOI: 10.1016/j.inffus.2024.102322

Assortative and preferential attachment lead to core-periphery networks (opens in new window)

Author(s): Ureña-Carrion, J., Karimi, F., Iñiguez, G., & Kivelä, M. (2023)
Published in: Assortative and preferential attachment lead to core-periphery networks, 2023, ISSN 2643-1564
Publisher: PHYSICAL REVIEW RESEARCH
DOI: 10.1103/PhysRevResearch.5.043287

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases (opens in new window)

Author(s): Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou
Published in: Proceedings of BIAS 2023 Workshop, ECML/PKDD, 2023, ISSN 2331-8422
Publisher: Proceedings of BIAS 2023 Workshop, ECML/PKDD
DOI: 10.48550/arxiv.2307.10011

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations (opens in new window)

Author(s): Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 47, 2024, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3487254

On the inadequacy of nominal assortativity for assessing homophily in networks. (opens in new window)

Author(s): Karimi, F., Oliveira, M.
Published in: On the inadequacy of nominal assortativity for assessing homophily in networks., 2023, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-48113-5

Can we Disrupt the Momentum of the AI Colonization of Science Education? (opens in new window)

Author(s): Lucy Avraamidou
Published in: Can we Disrupt the Momentum of the AI Colonization of Science Education?, 2024, ISSN 1098-2736
Publisher: Journal of Research in Science Teaching
DOI: 10.1002/tea.21961

Assortative and preferential attachment lead to core-periphery networks (opens in new window)

Author(s): Javier Ureña-Carrión, Fariba Karimi, Gerardo Íñiguez, Mikko Kivelä
Published in: Physical Review Research, Issue 5, 2023, ISSN 2643-1564
Publisher: American Physical Society (APS)
DOI: 10.1103/PHYSREVRESEARCH.5.043287

The Use of AI in school science: a Systematic Literature Review (opens in new window)

Author(s): Dagmar Mercedes Heeg, Lucy Avraamidou
Published in: The Use of AI in school science: a Systematic Literature Review, 2023, ISSN 1469-5790
Publisher: Taylor & Francis Group
DOI: 10.1080/09523987.2023.2264990

On the inadequacy of nominal assortativity for assessing homophily in networks (opens in new window)

Author(s): Fariba Karimi, Marcos Oliveira
Published in: Scientific Reports, Issue 13, 2024, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-023-48113-5

Young children’s understanding of AI (opens in new window)

Author(s): Dagmar Mercedes Heeg, Lucy Avraamidou
Published in: Education and Information Technologies, 2024, ISSN 1573-7608
Publisher: Springer Nature
DOI: 10.1007/S10639-024-13169-X

Improving the visibility of minorities through network growth interventions (opens in new window)

Author(s): Leonie Neuhäuser, Fariba Karimi, Jan Bachmann, Markus Strohmaier, Michael T Schaub
Published in: Improving the visibility of minorities through network growth interventions, 2023, ISSN 2399-3650
Publisher: Communications Physics
DOI: 10.1038/s42005-023-01218-9

Sampling Strategies for Mitigating Bias in Face Synthesis Methods (opens in new window)

Author(s): Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou
Published in: Communications in Computer and Information Science, Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-74630-7_16

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0