CORDIS · 101003397 · H2020
TAMED Tensor-bAsed Machine learning towards genEral moDels of affect
Coordinator: UNIVERSITA TA MALTA (MT)
The main objective of the TAMED project is to devise new methods and algorithms for realising aspects of general emotional intelligence, one of the core long-term goals of artificial intelligence and artificial psychology. To move towards such an ambitious goal TAMED methods would be required to: a) derive accurate models from small-sized affect data corpora, b) eliminate the subjective biases inherent in affective ground truth, and c) limit overfitting effects of affect models given their context-specific nature. TAMED views general affect modelling from an ordinal perspective and interweave…
About Horizon 2020 (2014–2020)
Horizon 2020 was the EU's flagship research and innovation programme for 2014–2020, with a budget of around €77 billion. It bundled FP7's strands with the EIT and the Competitiveness and Innovation Programme, introduced a stronger societal-challenge orientation, and pushed the funding logic toward closer-to-market innovation. New calls closed in 2020 but funded projects continued through 2024.
The project runs over approximately 2 years from 2020-07-01 to 2022-06-30.
Full record on CORDIS — partners, deliverables, publications, news.
Open on cordis.europa.eu → Grant DOI ↗More from MT
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Frequently asked questions
- Who funds this research project?
- This project is funded by the European Union through the Horizon 2020 (2014–2020) programme, under the MSCA-IF-EF-ST funding scheme.
- Which EU programme funds it?
- The project is funded under Horizon 2020 (2014–2020), call H2020-WF-2018-2020.
- Who coordinates the project?
- The project is coordinated by UNIVERSITA TA MALTA (MT).
- What is the project timeline?
- The project runs from 2020-07-01 to 2022-06-30 — approximately 2 years.
- Where can I find the full project record?
- The complete record — partners, deliverables, publications and news — is published on CORDIS under project ID 101003397.