Search Results for author: Konstantinos Pliakos

Found 4 papers, 1 papers with code

Explaining random forest prediction through diverse rulesets

no code implementations29 Mar 2022 Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens

Tree-ensemble algorithms, such as random forest, are effective machine learning methods popular for their flexibility, high performance, and robustness to overfitting.

Multi-Label Classification

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery

1 code implementation22 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.

Drug Discovery

Deep tree-ensembles for multi-output prediction

no code implementations3 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.

Classification General Classification +3

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