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Global Model Interpretation via Recursive Partitioning
v1v2 (latest)

Global Model Interpretation via Recursive Partitioning

11 February 2018
Chengliang Yang
Anand Rangarajan
Sanjay Ranka
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Global Model Interpretation via Recursive Partitioning"

29 / 29 papers shown
Explainable AI the Latest Advancements and New Trends
Explainable AI the Latest Advancements and New Trends
Bowen Long
Enjie Liu
Renxi Qiu
Yanqing Duan
XAI
745
2
0
11 May 2025
Linking Model Intervention to Causal Interpretation in Model Explanation
Linking Model Intervention to Causal Interpretation in Model Explanation
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Kui Yu
T. Le
Jixue Liu
CML
307
0
0
21 Oct 2024
The Thousand Faces of Explainable AI Along the Machine Learning Life
  Cycle: Industrial Reality and Current State of Research
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of ResearchInteracción (HCI), 2023
Thomas Decker
Ralf Gross
Alexander Koebler
Michael Lebacher
Ronald Schnitzer
Stefan H. Weber
304
2
0
11 Oct 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural
  Networks Using Shapley Values
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values
Yong Zhao
Runxin He
Nicholas Kersting
Can Liu
Shubham Agrawal
Chiranjeet Chetia
Yu Gu
FAttTDI
327
3
0
29 Sep 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for
  Chronic Disease Prediction
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease PredictionInternational Conference on Information and Knowledge Management (CIKM), 2023
Yang Wu
Xurui Li
Xuhong Zhang
Yangyang Kang
Changlong Sun
Xiaozhong Liu
153
7
0
06 Sep 2023
Automatic and Accurate Classification of Hotel Bathrooms from Images
  with Deep Learning
Automatic and Accurate Classification of Hotel Bathrooms from Images with Deep LearningUluslararası Muhendislik Arastirma ve Gelistirme Dergisi (IJERD), 2022
Hakan Temiz
3DH
41
2
0
13 Jun 2023
TwinExplainer: Explaining Predictions of an Automotive Digital Twin
TwinExplainer: Explaining Predictions of an Automotive Digital TwinConference on Algebraic Informatics (CAI), 2023
Subash Neupane
Ivan A. Fernandez
Wilson Patterson
Sudip Mittal
M. Parmar
Shahram Rahimi
115
8
0
01 Feb 2023
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yong-Min Shin
Sun-Woo Kim
Won-Yong Shin
192
11
0
31 Oct 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical
  Neurons Identification with Precision Guarantee
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
Minh Nhat Vu
Truc D. T. Nguyen
My T. Thai
AAML
126
4
0
18 Sep 2022
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Regulating eXplainable Artificial Intelligence (XAI) May Harm ConsumersMarketing science (Providence, R.I.) (MSPRI), 2022
Behnam Mohammadi
Nikhil Malik
Timothy P. Derdenger
K. Srinivasan
210
7
0
07 Sep 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Weilong Dai
AI4CE
329
6
0
07 Sep 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and OpportunitiesIEEE Access (IEEE Access), 2022
Subash Neupane
Jesse Ables
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
AAML
323
131
0
13 Jul 2022
A Set Membership Approach to Discovering Feature Relevance and
  Explaining Neural Classifier Decisions
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions
S. P. Adam
A. Likas
139
0
0
05 Apr 2022
Under the Microscope: Interpreting Readability Assessment Models for
  Filipino
Under the Microscope: Interpreting Readability Assessment Models for Filipino
Joseph Marvin Imperial
Ethel Ong
169
5
0
01 Oct 2021
Finding Representative Interpretations on Convolutional Neural Networks
Finding Representative Interpretations on Convolutional Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2021
P. C. Lam
Lingyang Chu
Maxim Torgonskiy
Jian Pei
Yong Zhang
Lanjun Wang
FAttSSLHAI
177
7
0
13 Aug 2021
Explainable AI for Interpretable Credit Scoring
Explainable AI for Interpretable Credit Scoring
Lara Marie Demajo
Vince Vella
A. Dingli
303
48
0
03 Dec 2020
A Survey on the Explainability of Supervised Machine Learning
A Survey on the Explainability of Supervised Machine LearningJournal of Artificial Intelligence Research (JAIR), 2020
Nadia Burkart
Marco F. Huber
FaMLXAI
283
899
0
16 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
410
703
0
09 Nov 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting
  Machines
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A. Konstantinov
Lev V. Utkin
FedMLAI4CE
180
194
0
14 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAIFAtt
311
30
0
04 Oct 2020
Machine Guides, Human Supervises: Interactive Learning with Global
  Explanations
Machine Guides, Human Supervises: Interactive Learning with Global Explanations
Teodora Popordanoska
Mohit Kumar
Stefano Teso
245
22
0
21 Sep 2020
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning
Teodora Popordanoska
Mohit Kumar
Stefano Teso
148
1
0
20 Jul 2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with
  Uncertainty Quantification
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty QuantificationNeural Information Processing Systems (NeurIPS), 2020
Hyun-Suk Lee
Yao Zhang
W. Zame
Cong Shen
Jang-Won Lee
M. Schaar
CML
199
21
0
14 Jun 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A SurveyIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
479
377
0
08 Jan 2020
Neural Image Compression and Explanation
Neural Image Compression and ExplanationIEEE Access (IEEE Access), 2019
Xiang Li
Shihao Ji
113
13
0
09 Aug 2019
A Categorisation of Post-hoc Explanations for Predictive Models
A Categorisation of Post-hoc Explanations for Predictive Models
John Mitros
Brian Mac Namee
XAICML
99
3
0
04 Apr 2019
Global Explanations of Neural Networks: Mapping the Landscape of
  Predictions
Global Explanations of Neural Networks: Mapping the Landscape of Predictions
Mark Ibrahim
Melissa Louie
C. Modarres
John Paisley
FAtt
213
126
0
06 Feb 2019
Optimal Piecewise Local-Linear Approximations
Optimal Piecewise Local-Linear Approximations
Kartik Ahuja
W. Zame
M. Schaar
FAtt
256
1
0
27 Jun 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for
  Alzheimer's Disease Classification
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang
Anand Rangarajan
Sanjay Ranka
FAtt
146
156
0
07 Mar 2018
1
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