32 citations · 67 across the 12 of their papers we have counts for
4 papers · 1 filter
Predicting Survival Outcomes in the Presence of Unlabeled Data
Fateme Nateghi Haredasht, Celine Vens
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 c…
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification
Miguel Romero, Felipe Kenji Nakano, Jorge Finke +2
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 (…
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering
Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
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 mod…
BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor
Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos +1
Tree-ensemble algorithms, such as random forest, are effective machine learning methods popular for their flexibility, high performance, and robustness to overfitting. However, sin…