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Dipankar Nath

BT Hungary

Previous Team Member Abdoulaye Fadiga

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Funding

This project has received funding from the CHIST-ERA funding call on Explainable Machine Learning-based Artificial Intelligence (XAI) in 2019 (CHIST-ERA-19-XAI-008). CHIST-ERA is a pathfinder programme for European coordinated research on future and emerging information and communication technologies.

iSee Facts

Project Coordinator: Belén Díaz-Agudo
Duration: 36 months (March 2021 – March 2024)
Funding support: 846,318 €
Funding Organisations:
- Spain: State Research Agency (AEI)
- UK: Engineering and Physical Sciences Research Council (EPSRC)
- France: French National Research Agency (ANR)
- Ireland: Irish Research Council (IRC)

Contact Us

Email: hello@isee4xai.com

Professor M Belen Díaz Agudo
Instituto de Tecnología del Conocimiento,
Facultad de Informática,
Universidad Complutense de Madrid
C/ Profesor Jose Garcia Santesmases, 9
Ciudad Universitaria
28040 – Madrid
Spain

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