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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
VRCopilot: Authoring 3D Layouts with Generative AI Models in VR
VRCopilot: Authoring 3D Layouts with Generative AI Models in VR
Lei Zhang
Jin Pan
Jacob Gettig
Steve Oney
A. Guo
VGenLM&Ro
121
9
0
18 Aug 2024
A Transparency Paradox? Investigating the Impact of Explanation
  Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
Daniel Omeiza
Raunak P. Bhattacharyya
Marina Jirotka
Nick Hawes
Lars Kunze
60
0
0
16 Aug 2024
Measuring User Understanding in Dialogue-based XAI Systems
Measuring User Understanding in Dialogue-based XAI Systems
Dimitry Mindlin
A. Robrecht
Michael Morasch
Philipp Cimiano
65
3
0
13 Aug 2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
Johannes Erdmann
F. Mausolf
Jan Lukas Späh
232
4
0
05 Aug 2024
Review of Explainable Graph-Based Recommender Systems
Review of Explainable Graph-Based Recommender Systems
Thanet Markchom
Huizhi Liang
James Ferryman
XAI
112
0
0
31 Jul 2024
Metaheuristic Enhanced with Feature-Based Guidance and Diversity
  Management for Solving the Capacitated Vehicle Routing Problem
Metaheuristic Enhanced with Feature-Based Guidance and Diversity Management for Solving the Capacitated Vehicle Routing Problem
Bachtiar Herdianto
Romain Billot
Flavien Lucas
Marc Sevaux
30
0
0
30 Jul 2024
Monetizing Currency Pair Sentiments through LLM Explainability
Monetizing Currency Pair Sentiments through LLM Explainability
Lior Limonad
Fabiana Fournier
Juan Manuel Vera
Inna Skarbovsky
Shlomit Gur
Raquel Lazcano
46
2
0
29 Jul 2024
Understanding XAI Through the Philosopher's Lens: A Historical
  Perspective
Understanding XAI Through the Philosopher's Lens: A Historical Perspective
Martina Mattioli
Antonio Emanuele Cinà
Marcello Pelillo
XAI
106
0
0
26 Jul 2024
Practical Attribution Guidance for Rashomon Sets
Practical Attribution Guidance for Rashomon Sets
Sichao Li
Amanda S. Barnard
Quanling Deng
73
5
0
26 Jul 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction
  Help?
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?
Cristiana Lalletti
Stefano Teso
74
1
0
23 Jul 2024
Explaining Decisions in ML Models: a Parameterized Complexity Analysis
Explaining Decisions in ML Models: a Parameterized Complexity Analysis
S. Ordyniak
Giacomo Paesani
Mateusz Rychlicki
Stefan Szeider
65
1
0
22 Jul 2024
Interpretable Concept-Based Memory Reasoning
Interpretable Concept-Based Memory Reasoning
David Debot
Pietro Barbiero
Francesco Giannini
Gabriele Ciravegna
Michelangelo Diligenti
Giuseppe Marra
LRM
103
7
0
22 Jul 2024
Enhancing Variable Importance in Random Forests: A Novel Application of
  Global Sensitivity Analysis
Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis
Giulia Vannucci
Roberta Siciliano
Andrea Saltelli
FAtt
23
0
0
19 Jul 2024
Case-based reasoning approach for diagnostic screening of children with
  developmental delays
Case-based reasoning approach for diagnostic screening of children with developmental delays
Zichen Song
Jiakang Li
Songning Lai
Sitan Huang
107
1
0
18 Jul 2024
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley
  Value Estimation
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation
Roni Goldshmidt
Miriam Horovicz
LLMAG
58
14
0
14 Jul 2024
Transformer Circuit Faithfulness Metrics are not Robust
Transformer Circuit Faithfulness Metrics are not Robust
Joseph Miller
Bilal Chughtai
William Saunders
104
7
0
11 Jul 2024
Explainability of Sub-Field Level Crop Yield Prediction using Remote
  Sensing
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
Hiba Najjar
Miro Miranda
Marlon Nuske
R. Roscher
A. Dengel
45
1
0
11 Jul 2024
Gradient Boosting Reinforcement Learning
Gradient Boosting Reinforcement Learning
Benjamin Fuhrer
Chen Tessler
Gal Dalal
OffRLAI4CE
183
3
0
11 Jul 2024
Function Smoothing Regularization for Precision Factorization Machine
  Annealing in Continuous Variable Optimization Problems
Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems
Katsuhiro Endo
Kazuaki Z. Takahashi
65
1
0
05 Jul 2024
Improving Computer Vision Interpretability: Transparent Two-level
  Classification for Complex Scenes
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
Stefan Scholz
Nils B. Weidmann
Zachary C. Steinert-Threlkeld
Eda Keremoğlu
Bastian Goldlücke
60
1
0
04 Jul 2024
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by
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NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
Salvatore Greco
Ke Zhou
L. Capra
Tania Cerquitelli
Daniele Quercia
58
3
0
01 Jul 2024
PDFA Distillation via String Probability Queries
PDFA Distillation via String Probability Queries
Robert Baumgartner
S. Verwer
47
0
0
26 Jun 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations
Vasisht Duddu
Oskari Jarvinen
Lachlan J. Gunn
Nirmal Asokan
160
1
0
25 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models
CELL your Model: Contrastive Explanations for Large Language Models
Ronny Luss
Erik Miehling
Amit Dhurandhar
139
0
0
17 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential
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Towards Efficient Target-Level Machine Unlearning Based on Essential Graph
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Wei Zhao
MU
78
1
0
16 Jun 2024
Explainable AI for Comparative Analysis of Intrusion Detection Models
Explainable AI for Comparative Analysis of Intrusion Detection Models
Pap M. Corea
Yongxin Liu
Jian Wang
Shuteng Niu
Houbing Song
76
6
0
14 Jun 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
75
2
0
12 Jun 2024
Explainable AI improves task performance in human-AI collaboration
Explainable AI improves task performance in human-AI collaboration
J. Senoner
Simon Schallmoser
Bernhard Kratzwald
Stefan Feuerriegel
Torbjørn H. Netland
97
15
0
12 Jun 2024
Categorizing Sources of Information for Explanations in Conversational
  AI Systems for Older Adults Aging in Place
Categorizing Sources of Information for Explanations in Conversational AI Systems for Older Adults Aging in Place
N. Mathur
Tamara Zubatiy
Elizabeth Mynatt
40
3
0
07 Jun 2024
Leveraging Pedagogical Theories to Understand Student Learning Process
  with Graph-based Reasonable Knowledge Tracing
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
Jiajun Cui
Hong Qian
Bo Jiang
Wei Zhang
AI4Ed
51
4
0
07 Jun 2024
Memorization in deep learning: A survey
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
114
7
0
06 Jun 2024
Tensor Polynomial Additive Model
Tensor Polynomial Additive Model
Yang Chen
Ce Zhu
Jiani Liu
Yipeng Liu
TPM
68
0
0
05 Jun 2024
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
81
3
0
04 Jun 2024
Learning Decision Trees and Forests with Algorithmic Recourse
Learning Decision Trees and Forests with Algorithmic Recourse
Kentaro Kanamori
Takuya Takagi
Ken Kobayashi
Yuichi Ike
82
3
0
03 Jun 2024
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable
  Artificial Intelligence (XAI) Techniques
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Samita Bai
Sidra Nasir
Rizwan Ahmed Khan
Sheeraz Arif
Alexandre Meyer
H. Konik
77
5
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Explaining Predictions by Characteristic Rules
Explaining Predictions by Characteristic Rules
Amr Alkhatib
Henrik Bostrom
Michalis Vazirgiannis
76
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0
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Model Interpretation and Explainability: Towards Creating Transparency
  in Prediction Models
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
D. Kridel
Jacob Dineen
Daniel R. Dolk
David G. Castillo
41
4
0
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ADESSE: Advice Explanations in Complex Repeated Decision-Making
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ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
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Lu Feng
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Jörg P. Müller
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On Generating Monolithic and Model Reconciling Explanations in
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Stylianos Loukas Vasileiou
William Yeoh
Alessandro Previti
Tran Cao Son
65
0
0
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From Explainable to Interactive AI: A Literature Review on Current
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Muhammad Raees
Inge Meijerink
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Vassilis-Javed Khan
Konstantinos Papangelis
94
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Interpretable and Editable Programmatic Tree Policies for Reinforcement
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Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
132
16
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Multi-modality Regional Alignment Network for Covid X-Ray Survival
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Zhusi Zhong
Jie Li
J. Sollee
Scott Collins
Harrison X. Bai
Paul J Zhang
Terrance Healey
Michael Atalay
Xinbo Gao
Zhicheng Jiao
61
1
0
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Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu
Fenghua Ling
Wenlong Zhang
Tao Han
Hao Chen
Wanli Ouyang
Lei Bai
AI4CE
224
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0
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Towards Explainable Test Case Prioritisation with Learning-to-Rank
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Aurora Ramírez
Mario Berrios
J. Romero
R. Feldt
30
1
0
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Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
197
3
0
21 May 2024
An Explanatory Model Steering System for Collaboration between Domain
  Experts and AI
An Explanatory Model Steering System for Collaboration between Domain Experts and AI
Aditya Bhattacharya
Simone Stumpf
K. Verbert
73
4
0
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Beyond the Black Box: Do More Complex Models Provide Superior XAI
  Explanations?
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
Mateusz Cedro
Marcin Chlebus
67
1
0
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Gradient Boosting Mapping for Dimensionality Reduction and Feature
  Extraction
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction
Anri Patron
Ayush Prasad
Hoang Phuc Hau Luu
Kai Puolamaki
30
0
0
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Challenges and Opportunities in Text Generation Explainability
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Kenza Amara
Rita Sevastjanova
Mennatallah El-Assady
SILM
76
3
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Interpretable Network Visualizations: A Human-in-the-Loop Approach for
  Post-hoc Explainability of CNN-based Image Classification
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi
Antonio De Santis
Andrea Tocchetti
Marco Brambilla
MILMFAtt
54
4
0
06 May 2024
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