Browsing by Author "Vens, Celine"

A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis

A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units

Active learning for hierarchical multi-label classification

Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction

An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering

An Ensemble Hypergraph Learning Framework for Recommendation

Applying machine learning to detect early stages of cardiac remodelling and dysfunction

BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor

CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis

Combining instance and feature neighbors for efficient multi-label classification

Combining instance and feature neighbours for extreme multi-label classification

Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments

Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

Correction to: Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness (vol 13, 98, 2025)

Deep forests with tree-embeddings and label imputation for weak-label learning

Deep tree-ensembles for multi-output prediction

Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness

Diversification in session-based news recommender systems

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery