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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
Autor:
Jarne Beliën, Stijn Swinnen, Robbe D’hondt, Laia Verdú de Juan, Nina Dedoncker, Patrick Matthys, Jan Bauer, Celine Vens, Sinéad Moylett, Bénédicte Dubois
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Multiple sclerosis (MS) is characterized by heterogeneity in disease course and prediction of long-term outcome remains a major challenge. Here, we investigate five myeloid markers – CHIT1, CHI3L1, sTREM2, GPNMB and CCL18 – in the cerebr
Externí odkaz:
https://doaj.org/article/d13afc90e71e462b8aff607bbf1a03d9
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
Publikováno v:
In Pattern Recognition September 2024 153
Autor:
Michela Venturini, Fateme Nateghi Haredasht, Frantisek Sabovcik, Robert J. H. Miller, Tatiana Kuznetsova, Celine Vens
Publikováno v:
IEEE Access, Vol 12, Pp 89754-89762 (2024)
Heart transplantation is a life-saving procedure for children affected by end-stage heart failure. However, despite recent improvements in long-term outcomes, 1-year post-transplantation mortality has remained relatively high. Accurate prediction of
Externí odkaz:
https://doaj.org/article/7539fd68637149e0a05d4fb4be5fe21c
Publikováno v:
Journal of Sustainable Design and Applied Research in Innovative Engineering of the Built Environment, Vol 1, Iss 3 (2013)
The main aim of ventilation is to guarantee a good indoor air quality, related to the energy consumed for heating and fan(s). Active or passive heat recovery systems seem to focus on the reduction of heating consumption at the expense of fan electric
Externí odkaz:
https://doaj.org/article/91dd00b29a1f43968c9daba3eb1a0712
Autor:
Vens, C., van Luijk, P., Vogelius, R.I., El Naqa, I., Humbert-Vidan, L., von Neubeck, C., Gomez-Roman, N., Bahn, E., Brualla, L., Böhlen, T.T., Ecker, S., Koch, R., Handeland, A., Pereira, S., Possenti, L., Rancati, T., Todor, D., Vanderstraeten, B., Van Heerden, M., Ullrich, W., Jackson, M., Alber, M., Marignol, L.
Publikováno v:
In Radiotherapy and Oncology July 2024 196