Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Andreu Vall"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Drug-induced liver injury (DILI) is a common reason for the withdrawal of a drug from the market. Early assessment of DILI risk is an essential part of drug development, but it is rendered challenging prior to clinical trials by the complex factors t
Externí odkaz:
https://doaj.org/article/e1f44902053346b7a1624f6a220c0190
Autor:
Andreu-Vall, Mar, Marcos, Mari-Carmen
Publikováno v:
Andreu-Vall, Mar and Marcos, Mari-Carmen Evaluación de sitios web multilingües: metodología y herramienta heurística. El profesional de la información, 2012, vol. 21, n. 3, pp. 254-260. [Journal article (Paginated)]
A methodology for evaluating the suitability of websites to multilingual and multicultural audiences is proposed. Standards and validated recommendations have been checked in order to create a (heuristic) guideline. The result is a checklist for eval
Externí odkaz:
http://eprints.rclis.org/17065/
Autor:
Michael Widrich, Markus Hofmarcher, Andreas Mayr, Johannes Schimunek, Günter Klambauer, Sepp Hochreiter, Elisabeth Rumetshofer, Philipp Renz, Peter Ruch, Andreu Vall, Philipp Seidl
Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a large-scale virtual screening for small molecules that are potential CoV-2 inhibitors. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a0bf833233cc678322a34c954b4c1cf
http://arxiv.org/abs/2004.00979
http://arxiv.org/abs/2004.00979
Autor:
Gerhard Widmer, Andreu Vall
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
ECML/PKDD (3)
Music recommender systems have become a key technology supporting the access to increasingly larger music catalogs in on-line music streaming services, on-line music shops, and private collections. The interaction of users with large music catalogs i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763c07ba8ae12f8288bb0f483974320a
https://doi.org/10.1007/978-3-030-10997-4_42
https://doi.org/10.1007/978-3-030-10997-4_42
Autor:
Matthias Dorfer, Hamid Eghbal-zadeh, Keki Burjorjee, Andreu Vall, Markus Schedl, Gerhard Widmer
Publikováno v:
User Modeling and User-Adapted Interaction
Music recommender systems have become a key technology to support the interaction of users with the increasingly larger music catalogs of on-line music streaming services, on-line music shops, and personal devices. An important task in music recommen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32f3d3164d6b612821c6c62d80acd29f
The availability of increasingly larger multimedia collections has fostered extensive research in recommender systems. Instead of capturing general user preferences, the task of next-item recommendation focuses on revealing specific session preferenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a01f695dfd97eb4251eaf47c06c9dcc
https://epub.jku.at/doi/10.1007/s13735-019-00169-8
https://epub.jku.at/doi/10.1007/s13735-019-00169-8
Publikováno v:
SAC
Automated music playlist continuation is a common task of music recommender systems, that generally consists in providing a fitting extension to a given playlist. Collaborative filtering models, that extract abstract patterns from curated music playl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5976fcfea4735e3f999e0440d607e9
http://arxiv.org/abs/1805.09557
http://arxiv.org/abs/1805.09557
Publikováno v:
International Journal of Multimedia Information Retrieval
Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query. The state-of-the-art approach to cross-modality retrieval relies on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02812cc0a518a3e45816a4bb89d82fa6
https://epub.jku.at/doi/10.1007/s13735-018-0151-5
https://epub.jku.at/doi/10.1007/s13735-018-0151-5
Publikováno v:
DLRS@RecSys
Automated music playlist generation is a specific form of music recommendation. Generally stated, the user receives a set of song suggestions defining a coherent listening session. We hypothesize that the best way to convey such playlist coherence to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96c5ef6c9797415f48bf0821c781c07d
https://doi.org/10.1145/3125486.3125494
https://doi.org/10.1145/3125486.3125494
Publikováno v:
SAC
32nd Annual ACM Symposium on Applied Computing, SAC 2017, Part F128005, 1693-1696
32nd Annual ACM Symposium on Applied Computing, SAC 2017, Part F128005, 1693-1696
Applying diversity to a recommendation list has been shown to positively influence the user experience. A higher perceived diversity is argued to have a positive effect on the attractiveness of the recommendation list and a negative effect on the dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5998bc024018349309c6df88815baa0c
http://www.scopus.com/inward/record.url?scp=85020889008&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85020889008&partnerID=8YFLogxK