Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles

8 May 2020

Papers citing "Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles"

25 / 25 papers shown

Title
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 14 0 0 10 May 2025
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 40 1 0 17 Jul 2024
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing Jaime González-González Silvia García-Méndez Francisco de Arriba-Pérez Francisco J. González Castaño Oscar Barba-Seara 16 8 0 23 May 2024
Sentiment analysis and random forest to classify LLM versus human source applied to Scientific Texts Javier J. Sánchez Medina DeLMO 19 2 0 05 Apr 2024
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles Leonardo Arrighi Luca Pennella G. Tavares Sylvio Barbon Junior 17 2 0 03 Apr 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 24 6 0 30 Mar 2024
Multi-rules mining algorithm for combinatorially exploded decision trees with modified Aitchison-Aitken function-based Bayesian optimization Yuto Omae Masaya Mori Yohei Kakimoto 16 1 0 04 Oct 2023
Visual Analytics For Machine Learning: A Data Perspective Survey Junpeng Wang Shixia Liu Wei Zhang HAI 24 17 0 15 Jul 2023
Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection Luoxuan Weng Minfeng Zhu Kamkwai Wong Siyi Liu Jiashun Sun Hang Zhu Dongming Han Wei-Neng Chen DeLMO 24 8 0 11 Apr 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps Angelos Chatzimparmpas Rafael M. Martins A. Telea Andreas Kerren 16 1 0 31 Mar 2023
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization Zijie J. Wang Chudi Zhong Rui Xin Takuya Takagi Zhi Chen Duen Horng Chau Cynthia Rudin Margo Seltzer 21 14 0 19 Sep 2022
Local Multi-Label Explanations for Random Forest Nikolaos Mylonas Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas FAtt 11 7 0 05 Jul 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 12 16 0 09 Jun 2022
The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations Yalong Yang Wenyu Xia Fritz Lekschas Carolina Nobre Robert Krueger Hanspeter Pfister 15 12 0 10 Mar 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 10 9 0 15 Feb 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets Jun Yuan Brian Barr Kyle Overton E. Bertini 8 8 0 19 Jan 2022
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees Angelos Chatzimparmpas Rafael M. Martins Andreas Kerren 14 10 0 01 Dec 2021
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera Gilles Louppe V. A. Huynh-Thu L. Wehenkel Pierre Geurts FAtt 14 7 0 03 Nov 2021
Multivariate Data Explanation by Jumping Emerging Patterns Visualization Mário Popolin Neto F. Paulovich 17 7 0 21 Jun 2021
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation Jianlong Zhou Weidong Huang Fang Chen FAtt 13 6 0 15 Apr 2021
Visualizing Rule Sets: Exploration and Validation of a Design Space Jun Yuan O. Nov E. Bertini 23 1 0 01 Mar 2021
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 16 20 0 02 Dec 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 49 93 0 05 Mar 2020
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 6 53 0 21 Nov 2019
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 139 2,711 0 18 Nov 2015