Search Results for author:
Found 9 papers, 3 papers with code
HypeRS: Building a Hypergraph-driven ensemble Recommender System
In this paper, we propose a novel ensemble recommender system that combines predictions made by different models into a unified hypergraph ranking framework.
Predicting Survival Outcomes in the Presence of Unlabeled Data
In this article, we investigate whether we can benefit from the inclusion of such unlabeled data instances to predict accurate survival times.
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification
The availability of genomic data has grown exponentially in the last decade, mainly due to the development of new sequencing technologies.
BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor
In this work we propose a novel method that is Building Explanations through a LocalLy AccuraTe Rule EXtractor (Bellatrex), and is able to explain the forest prediction for a given test instance with only a few diverse rules.
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering
This rating elicitation procedure enriches the interaction matrix with informative ratings and therefore assists the recommender system to better model the preferences of the users.
Diversification in Session-based News Recommender Systems
In news websites most of users are anonymous and the only available data is sequences of items in anonymous sessions.
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery
In addition, WkNNIR exploits local imbalance to promote the influence of more reliable similarities on the interaction recovery and prediction processes.
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Recommender systems are typically designed to fulfill end user needs.
Deep tree-ensembles for multi-output prediction
In this paper, we specifically focus on two structured output prediction tasks, namely multi-label classification and multi-target regression.
