Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Joey De Pauw"'
Publikováno v:
RecSys '22 : Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18-23, 2022
Recommender systems are used in many different applications and contexts, however their main goal can always be summarised as “connecting relevant content to interested users”. Explanations have been found to help recommender systems achieve this
Autor:
Pieter Moris, Sofie Gielis, Benson Ogunjimi, Nicolas De Neuter, Anna Postovskaya, Wout Bittremieux, Joey De Pauw, Pieter Meysman, Kris Laukens
Publikováno v:
Briefings in Bioinformatics
Briefings in bioinformatics
Briefings in bioinformatics
The prediction of epitope recognition by T-cell receptors (TCRs) has seen many advancements in recent years, with several methods now available that can predict recognition for a specific set of epitopes. However, the generic case of evaluating all p
Autor:
Joey De Pauw
Publikováno v:
RecSys
RecSys '20 : Fourteenth ACM Conference on Recommender Systems, September, 2020, Virtual Event, Brazil
RecSys '20 : Fourteenth ACM Conference on Recommender Systems, September, 2020, Virtual Event, Brazil
A common and recently widely accepted problem in the field of machine learning is the black box nature of many algorithms. In practice, many machine learning algorithms can only be viewed and evaluated in terms of their inputs and outputs, without ta
Autor:
Benson Ogunjimi, Sofie Gielis, Anna Postovskaya, Nicolas De Neuter, Joey De Pauw, Pieter Meysman, Pieter Moris, Wout Bittremieux, Kris Laukens
The prediction of epitope recognition by T-cell receptors (TCRs) has seen many advancements in recent years, with several methods now available that can predict recognition for a specific set of epitopes. However, the generic case of evaluating all p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc118d6d16166696e3afd24f0bcddfeb
https://doi.org/10.1101/2019.12.18.880146
https://doi.org/10.1101/2019.12.18.880146
Publikováno v:
Scopus-Elsevier
Artificial Intelligence and Machine Learning. BNAIC 2019, BENELEARN 2019, 6–8 November, Brussels, Belgium
Communications in Computer and Information Science ISBN: 9783030651534
BNAIC/BENELEARN (Selected Papers)
Artificial Intelligence and Machine Learning. BNAIC 2019, BENELEARN 2019, 6–8 November, Brussels, Belgium
Communications in Computer and Information Science ISBN: 9783030651534
BNAIC/BENELEARN (Selected Papers)
Itemsets and association rules are among the most simple and intuitive patterns that are being used to explore transaction datasets. However, they lack meaning without both context and domain knowledge. Typically a user has to sift through hundreds o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c04d21488d7a40b6c30835624402846a
http://www.scopus.com/inward/record.url?eid=2-s2.0-85075048564&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85075048564&partnerID=MN8TOARS