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Visualizing Variable Importance and Variable Interaction Effects in
  Machine Learning Models
v1v2 (latest)

Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models

Journal of Computational And Graphical Statistics (JCGS), 2021
9 August 2021
Alan N. Inglis
Andrew C. Parnell
C. Hurley
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models"

10 / 10 papers shown
Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals
Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals
Mohammad Nooraiepour
Mohammad Masoudi
Zezhang Song
Helge Hellevang
AI4CE
55
1
0
24 Aug 2025
midr: Learning from Black-Box Models by Maximum Interpretation Decomposition
Ryoichi Asashiba
Reiji Kozuma
Hirokazu Iwasawa
196
0
0
10 Jun 2025
From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
Ugur Dar
Mustafa Cavus
312
0
0
15 Dec 2024
shapiq: Shapley Interactions for Machine Learning
shapiq: Shapley Interactions for Machine LearningNeural Information Processing Systems (NeurIPS), 2024
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
283
45
0
02 Oct 2024
Unveiling Population Heterogeneity in Health Risks Posed by
  Environmental Hazards Using Regression-Guided Neural Network
Unveiling Population Heterogeneity in Health Risks Posed by Environmental Hazards Using Regression-Guided Neural Network
Jong Woo Nam
Eun Young Choi
Jennifer A. Ailshire
Yao-Yi Chiang
98
0
0
20 Sep 2024
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of
  Part-Time Work on Growth in High School Mathematics Achievement
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
Nathan McJames
Ann O'Shea
Andrew C. Parnell
227
2
0
16 Jul 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
341
12
0
04 May 2024
vivid: An R package for Variable Importance and Variable Interactions
  Displays for Machine Learning Models
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning ModelsThe R Journal (JR), 2022
Alan N. Inglis
Andrew C. Parnell
C. Hurley
FAtt
124
13
0
20 Oct 2022
Visualizations for Bayesian Additive Regression Trees
Visualizations for Bayesian Additive Regression Trees
Alan N. Inglis
Andrew C. Parnell
Cathrine Hurley
160
5
0
18 Aug 2022
Accounting for shared covariates in semi-parametric Bayesian additive
  regression trees
Accounting for shared covariates in semi-parametric Bayesian additive regression trees
E. Prado
Andrew C. Parnell
Keefe Murphy
Nathan McJames
Ann O'Shea
R. Moral
322
2
0
17 Aug 2021
1
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