Celine Vens
Katholieke Universiteit Leuven
H-index: 23
Europe-Belgium
Top articles of Celine Vens
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
SurvivalLVQ: Interpretable supervised clustering and prediction in survival analysis via Learning Vector Quantization | Pattern Recognition | Jasper de Boer Klest Dedja Celine Vens | 2024/4/15 |
Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit admission | Computer Methods and Programs in Biomedicine | Felipe Kenji Nakano Karolijn Dulfer Ilse Vanhorebeek Pieter J Wouters Sascha C Verbruggen | 2024/4/10 |
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information | Artificial Intelligence in Medicine | Michela Venturini Ingrid Van Keilegom Wouter De Corte Celine Vens | 2024/2/22 |
Diversification in session-based news recommender systems | Personal and Ubiquitous Computing | Alireza Gharahighehi Celine Vens | 2023/2 |
A binning approach for predicting long-term prognosis in multiple sclerosis | Robbe D’hondt Sinéad Moylett An Goris Celine Vens | 2023/6/5 | |
Estimation of GFR with machine learning models compared to EKFC equation | Felipe Kenji Nakano Antoine Lanot Anna Akesson Hans Pottel Pierre Delanaye | 2023/9/15 | |
Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification | Computers in Biology and Medicine | Miguel Romero Felipe Kenji Nakano Jorge Finke Camilo Rocha Celine Vens | 2023/1/1 |
BELLATREX: Building explanations through a locally accurate rule extractor | Ieee Access | Klest Dedja Felipe Kenji Nakano Konstantinos Pliakos Celine Vens | 2023/4/20 |
Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation | Alireza Gharahighehi Michela Venturini Achilleas Ghinis Frederik Cornillie Celine Vens | 2023/6/16 | |
Development of predictive models for critically ill patients with acute kidney injury | Fateme Nateghi Haredasht | 2023/1/10 | |
Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments | Behavior Research Methods | Jung Yeon Park Klest Dedja Konstantinos Pliakos Jinho Kim Sean Joo | 2023/6 |
HypeRS: Building a Hypergraph-driven ensemble Recommender System | arXiv preprint arXiv:2306.12800 | Alireza Gharahighehi Celine Vens Konstantinos Pliakos | 2023/6/22 |
Exploiting censored information in self-training for time-to-event prediction | Ieee Access | Fateme Nateghi Haredasht Kazeem Adesina Dauda Celine Vens | 2023/9/5 |
Course recommendations in MOOCs using collaborative filtering and survival analysis | Alireza Gharahighehi Michela Venturini Frederik Cornillie Celine Vens | 2023/10/1 | |
PT-MESS: a Problem-Transformation approach for Multi-Event Survival analySis | SDAIH 2022 Online Proceedings | Michela Venturini Felipe Kenji Nakano Celine Vens | 2023/3/20 |
Machine learning-based orthotropic stiffness identification using guided wavefield data | Measurement | Adil Han Orta Jasper De Boer Mathias Kersemans Celine Vens Koen Van Den Abeele | 2023/6/15 |
Active Learning for Survival Analysis with Incrementally Disclosed Label Information | Klest Dedja Felipe Kenji Nakano Celine Vens | 2023 | |
34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers | Toon Calders Celine Vens Jefrey Lijffijt Bart Goethals | 2023 | |
Predicting outcomes of acute kidney injury in critically ill patients using machine learning | Scientific Reports | Fateme Nateghi Haredasht Liesbeth Viaene Hans Pottel Wouter De Corte Celine Vens | 2023/6/18 |
Validated risk prediction models for outcomes of acute kidney injury: a systematic review | Fateme Nateghi Haredasht Laban Vanhoutte Celine Vens Hans Pottel Liesbeth Viaene | 2023/5/9 |
