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of 204
pro vyhledávání: '"Vens, Celine"'
Recommender systems are designed to predict user preferences over collections of items. These systems process users' previous interactions to decide which items should be ranked higher to satisfy their desires. An ensemble recommender system can achi
Externí odkaz:
http://arxiv.org/abs/2306.12800
Many clinical studies require the follow-up of patients over time. This is challenging: apart from frequently observed drop-out, there are often also organizational and financial challenges, which can lead to reduced data collection and, in turn, can
Externí odkaz:
http://arxiv.org/abs/2210.13891
The availability of genomic data has grown exponentially in the last decade, mainly due to the development of new sequencing technologies. Based on the interactions between genes (and gene products) extracted from the increasing genomic data, numerou
Externí odkaz:
http://arxiv.org/abs/2207.06237
Tree-ensemble algorithms, such as random forest, are effective machine learning methods popular for their flexibility, high performance, and robustness to overfitting. However, since multiple learners are combined, they are not as interpretable as a
Externí odkaz:
http://arxiv.org/abs/2203.15511
Recommender systems are information retrieval methods that predict user preferences to personalize services. These systems use the feedback and the ratings provided by users to model the behavior of users and to generate recommendations. Typically, t
Externí odkaz:
http://arxiv.org/abs/2203.05954
Autor:
Nakano, Felipe Kenji, Dulfer, Karolijn, Vanhorebeek, Ilse, Wouters, Pieter J., Verbruggen, Sascha C., Joosten, Koen F., Güiza Grandas, Fabian, Vens, Celine, Van den Berghe, Greet
Publikováno v:
In Computer Methods and Programs in Biomedicine June 2024 250
Publikováno v:
In Pattern Recognition September 2024 153
Publikováno v:
In Artificial Intelligence In Medicine April 2024 150
Autor:
Gharahighehi, Alireza, Vens, Celine
Recommender systems are widely applied in digital platforms such as news websites to personalize services based on user preferences. In news websites most of users are anonymous and the only available data is sequences of items in anonymous sessions.
Externí odkaz:
http://arxiv.org/abs/2102.03265
Predicting drug-target interactions (DTI) via reliable computational methods is an effective and efficient way to mitigate the enormous costs and time of the drug discovery process. Structure-based drug similarities and sequence-based target protein
Externí odkaz:
http://arxiv.org/abs/2012.12325