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A Survey Of Methods For Explaining Black Box Models
v1v2v3 (latest)

A Survey Of Methods For Explaining Black Box Models

6 February 2018
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
    XAI
ArXiv (abs)PDFHTML

Papers citing "A Survey Of Methods For Explaining Black Box Models"

50 / 1,104 papers shown
Title
Region-specific Risk Quantification for Interpretable Prognosis of
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Zhusi Zhong
Jie Li
Zhuoqi Ma
Scott Collins
Harrison X. Bai
Paul J Zhang
Terrance Healey
Xinbo Gao
Michael Atalay
Zhicheng Jiao
42
0
0
05 May 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
76
4
0
04 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TSAI4CE
92
29
0
03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating
  Classifier Decisions with CoReX
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX
Bettina Finzel
Patrick Hilme
Johannes Rabold
Ute Schmid
109
1
0
02 May 2024
Statistics and explainability: a fruitful alliance
Statistics and explainability: a fruitful alliance
Valentina Ghidini
51
0
0
30 Apr 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi
C. Militello
Calogero Zarcaro
T. Bartolotta
Salvatore Gaglio
Salvatore Vitabile
43
2
0
26 Apr 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Eleonora Cappuccio
D. Fadda
Rosa Lanzilotti
Salvatore Rinzivillo
FAtt
68
1
0
25 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition
CA-Stream: Attention-based pooling for interpretable image recognition
Felipe Torres
Hanwei Zhang
R. Sicre
Stéphane Ayache
Yannis Avrithis
77
1
0
23 Apr 2024
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive
  Maintenance
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
João Gama
Rita P. Ribeiro
S. Mastelini
Narjes Davarid
Bruno Veloso
38
1
0
21 Apr 2024
A Guide to Feature Importance Methods for Scientific Inference
A Guide to Feature Importance Methods for Scientific Inference
F. K. Ewald
Ludwig Bothmann
Marvin N. Wright
B. Bischl
Giuseppe Casalicchio
Gunnar Konig
60
11
0
19 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning:
  the InterpPol Workshop
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
Hector Kohler
Quentin Delfosse
Paul Festor
Philippe Preux
117
0
0
16 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and
  Research Agenda
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
131
35
0
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Observation-specific explanations through scattered data approximation
Observation-specific explanations through scattered data approximation
Valentina Ghidini
Michael Multerer
Jacopo Quizi
Rohan Sen
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26
1
0
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Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of
  Human and Machine Explanations for Large Language Models
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Mark Hancock
66
7
0
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Fatima Ezzeddine
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Omran Ayoub
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M. Gjoreski
Ihab Sbeity
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Silvia Giordano
50
3
0
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Interpretability in Symbolic Regression: a benchmark of Explanatory
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89
10
0
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Sylvio Barbon Junior
66
2
0
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Procedural Fairness in Machine Learning
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Xin Yao
FaML
77
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Zhao Ren
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Hongzhi Yin
Quoc Viet Hung Nguyen
166
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0
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Silvia García-Méndez
Andrea Busto-Castiñeira
Francisco J. González Castaño
AILawELM
88
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Segmentation, Classification and Interpretation of Breast Cancer Medical
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71
1
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Muhammad Rashid
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Enrico Ferrari
Damiano Verda
FAtt
47
3
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Neural Clustering based Visual Representation Learning
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Guikun Chen
Xia Li
Yi Yang
Wenguan Wang
SSL
102
10
0
26 Mar 2024
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
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Qian Chen
Dongyang Li
Xiaofeng He
Hongzhao Li
Hongyu Yi
67
0
0
25 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models
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108
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Gradient based Feature Attribution in Explainable AI: A Technical Review
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XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via
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76
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HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional
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Multi-stakeholder Perspective on Responsible Artificial Intelligence and
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