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Found 5 papers, 2 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.
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.
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.
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Recommender systems are typically designed to fulfill end user needs.
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.
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