Browsing by author "Vens, Celine"

Now showing items 1-20 of 45

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

D'hondt, Robbe; Moylett, Sinead; Goris, An; Vens, Celine (2023)
A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units

Venturini, Michela; Van Keilegom, Ingrid; De Corte, Wouter; Vens, Celine (2022)
Active learning for hierarchical multi-label classification

Nakano, Felipe Kenju; Cerri, Ricardo; Vens, Celine (2020)
Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction

Gharahighehi, Alireza; Pliakos, Konstantinos; Vens, Celine (2022)
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering

Gharahighehi, Alireza; Nakano, Felipe Kenji; Vens, Celine (2023)
An Ensemble Hypergraph Learning Framework for Recommendation

Gharahighehi, Alireza; Vens, Celine; Pliakos, Konstantinos (2021)
Applying machine learning to detect early stages of cardiac remodelling and dysfunction

Sabovcik, Frantisek; Cauwenberghs, Nicholas; Kouznetsov, Dmitry; Haddad, Francois; Alonso-Betanzos, Amparo; Kuznetsova, Tatiana; Vens, Celine (2021)
BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor

Dedja, Klest; Nakano, Felipe Kenji; Pliakos, Konstantinos; Vens, Celine (2023)
CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis

Belien, Jarne; Swinnen, Stijn; D'hondt, Robbe; de Juan, Laia Verdu; Dedoncker, Nina; Matthys, Patrick; Bauer, Jan; Vens, Celine; Moylett, Sinead; Dubois, Benedicte (2024)
Combining instance and feature neighbors for efficient multi-label classification

Feremans, Len; Cule, Boris; Vens, Celine; Goethals, Bart (2017)
Combining instance and feature neighbours for extreme multi-label classification

Feremans, Len; Cule, Boris; Vens, Celine; Goethals, Bart (2020)
Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessments

Park, Jung Yeon; Dedja, Klest; Pliakos, Konstantinos; Kim, Jinho; Joo, Sean; Cornillie, Frederik; Vens, Celine; Van den Noortgate, Wim (2023)
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

Nateghi, Fateme; Viaene, Liesbeth; Vens, Celine; Callewaert, Nico; De Corte, Wouter; Pottel, Hans (2022)
Deep tree-ensembles for multi-output prediction

Nakano, Felipe Kenji; Pliakos, Konstantinos; Vens, Celine (2022)
Diversification in session-based news recommender systems

Gharahighehi, Alireza; Vens, Celine (2023)
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery

Liu, Bin; Pliakos, Konstantinos; Tsoumakas, Grigorios; Vens, Celine (2022)
Drug-target interaction prediction with tree-ensemble learning and output space reconstruction

Pliakos, K.; Vens, Celine (2020)
Explaining a Random Survival Forest by Extracting Prototype Rules

Dedja, Klest; Nakano, Felipe Kenji; Pliakos, Konstantinos; Vens, Celine (2021)
Exploiting Censored Information in Self-Training for Time-to-Event Prediction

Haredasht, Fateme Nateghi; Dauda, Kazeem; Vens, Celine (2023)
Exploiting unlabeled data to predict the development of CKD after AKI in critically ill patients

Nateghi, Fateme; Viaene, Liesbeth; De Corte, Wouter; Vens, Celine (2021)