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pro vyhledávání: '"Angela, Giovan"'
Autor:
Altmeyer, Patrick, Angela, Giovan, Buszydlik, Aleksander, Dobiczek, Karol, van Deursen, Arie, Liem, Cynthia C. S.
Publikováno v:
in 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, NC, USA, 2023 pp. 418-431
Existing work on Counterfactual Explanations (CE) and Algorithmic Recourse (AR) has largely focused on single individuals in a static environment: given some estimated model, the goal is to find valid counterfactuals for an individual instance that f
Externí odkaz:
http://arxiv.org/abs/2308.08187
Autor:
Abderrazik, Hiba, Angela, Giovan, Brouwer, Hans, Janse, Henky, Lutz, Sterre, Smitskamp, Gwennan, Manolios, S., Liem, C.C.S., Brusilovsky, Peter, de Gemmis, Marco, Felfernig, Alexander, Lops, Pasquale, O’Donovan, John, Semeraro, Giovanni, Willemsen, Martijn C.
Publikováno v:
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019)
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
Music is often both personally and affectively meaningful to human listeners. However, little work has been done to create music recommender systems that take this into account. In this demo proposal, we present Spotivibes: a first prototype for a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::7a06da3b248057fc4fa1eb2f8a1810d2
http://resolver.tudelft.nl/uuid:dd3ef4d6-2917-48ac-9e87-ec5ee8f04c94
http://resolver.tudelft.nl/uuid:dd3ef4d6-2917-48ac-9e87-ec5ee8f04c94