Implementing local-explainability in Gradient Boosting Trees: Feature Contribution

14 February 2024

Papers citing "Implementing local-explainability in Gradient Boosting Trees: Feature Contribution"

8 / 8 papers shown

Title
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 49 3 0 11 Jul 2024
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators Jaime González-González Francisco de Arriba-Pérez Silvia García-Méndez Andrea Busto-Castiñeira Francisco J. González Castaño AILaw ELM 36 6 0 30 Mar 2024
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF) Ángel Delgado-Panadero J. Benítez-Andrades María Teresa García-Ordás FedML AI4CE 25 2 0 04 Feb 2024
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods A. Darya I. Fernini M. Vellasco A. Hussain 11 0 0 25 Apr 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 30 3 0 15 Mar 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 15 27 0 07 Mar 2023
XDQN: Inherently Interpretable DQN through Mimicking A. Kontogiannis G. Vouros 16 0 0 08 Jan 2023
On the Trustworthiness of Tree Ensemble Explainability Methods Angeline Yasodhara Azin Asgarian Diego Huang Parinaz Sobhani FAtt 19 5 0 30 Sep 2021