no code implementations • 3 Nov 2020 • Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
In this paper, we specifically focus on two structured output prediction tasks, namely multi-label classification and multi-target regression.
no code implementations • 1 Dec 2020 • Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
Recommender systems are typically designed to fulfill end user needs.
no code implementations • 29 Mar 2022 • Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
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.
1 code implementation • 22 Dec 2020 • Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
In addition, WkNNIR exploits local imbalance to promote the influence of more reliable similarities on the interaction recovery and prediction processes.
1 code implementation • 22 Jun 2023 • Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
In this paper, we propose a novel ensemble recommender system that combines predictions made by different models into a unified hypergraph ranking framework.