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1910.10045
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Information Fusion (Inf. Fusion), 2019
22 October 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
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Papers citing
"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"
50 / 1,485 papers shown
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
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Y. Pequignot
Alexandre Mathieu
Foutse Khomh
M. Marchand
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178
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0
26 Oct 2021
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
D. Rengasamy
J. M. Mase
Mercedes Torres Torres
Benjamin Rothwell
David A. Winkler
Grazziela Figueredo
FAtt
72
2
0
22 Oct 2021
Learning to run a power network with trust
Electric power systems research (EPSR), 2021
Antoine Marot
Benjamin Donnot
Karim Chaouache
Ying-Ling Lu
Qiuhua Huang
Ramij-Raja Hossain
J. Cremer
233
33
0
21 Oct 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
International Conference on Legal Knowledge and Information Systems (JURIX), 2021
Francesco Sovrano
Salvatore Sapienza
M. Palmirani
F. Vitali
141
18
0
21 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
553
285
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20 Oct 2021
Local Explanations for Clinical Search Engine results
Edeline Contempré
Zoltán Szlávik
Majid Mohammadi
Erick Velazquez Godinez
A. T. Teije
Ilaria Tiddi
FAtt
91
1
0
19 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning
Bang Xiang Yong
Alexandra Brintrup
158
11
0
19 Oct 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
S. Chatterjee
Arnab Das
Chirag Mandal
Budhaditya Mukhopadhyay
Manish Vipinraj
Aniruddh Shukla
R. Rao
Chompunuch Sarasaen
Oliver Speck
A. Nürnberger
MedIm
222
16
0
16 Oct 2021
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Enea Parimbelli
G. Nicora
Szymon Wilk
W. Michalowski
Riccardo Bellazzi
140
39
0
15 Oct 2021
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation
Hangcheng Dong
Jing-Xiao Liao
Yan Wang
Yixin Chen
Bingguo Liu
Dong Ye
Guodong Liu
689
0
0
14 Oct 2021
Truthful AI: Developing and governing AI that does not lie
Owain Evans
Owen Cotton-Barratt
Lukas Finnveden
Adam Bales
Avital Balwit
Peter Wills
Luca Righetti
William Saunders
HILM
522
137
0
13 Oct 2021
Logic Constraints to Feature Importances
Nicola Picchiotti
Marco Gori
169
0
0
13 Oct 2021
Clustering-Based Interpretation of Deep ReLU Network
Nicola Picchiotti
Marco Gori
FAtt
108
0
0
13 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research
Thomas P. Quinn
Sunil R. Gupta
Svetha Venkatesh
Vuong Le
OOD
158
3
0
13 Oct 2021
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
Matter (Matter), 2021
Rishi E. Kumar
A. Tiihonen
Shijing Sun
D. Fenning
Zhe Liu
Tonio Buonassisi
105
18
0
08 Oct 2021
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
Bettina Finzel
David E. Tafler
Stephan Scheele
Ute Schmid
170
15
0
07 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations
Sindre Benjamin Remman
A. Lekkas
120
15
0
07 Oct 2021
Shapley variable importance clouds for interpretable machine learning
Yilin Ning
M. Ong
Bibhas Chakraborty
B. Goldstein
Daniel Ting
Roger Vaughan
Nan Liu
FAtt
178
93
0
06 Oct 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
Boyu Zhang
Aleksandar Vakanski
Min Xian
134
15
0
05 Oct 2021
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
F. Siciliano
Maria Sofia Bucarelli
Gabriele Tolomei
Fabrizio Silvestri
GNN
AI4CE
103
7
0
05 Oct 2021
What is understandable in Bayesian network explanations?
Raphaela Butz
Renée Schulz
A. Hommersom
M. V. Eekelen
FAtt
XAI
BDL
54
0
0
04 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
222
79
0
04 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
473
523
0
04 Oct 2021
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
Francesco Sovrano
F. Vitali
M. Palmirani
145
14
0
02 Oct 2021
Explanation-Aware Experience Replay in Rule-Dense Environments
Francesco Sovrano
Alex Raymond
Amanda Prorok
117
13
0
29 Sep 2021
Critical Empirical Study on Black-box Explanations in AI
Jean-Marie John-Mathews
120
6
0
29 Sep 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
205
118
0
27 Sep 2021
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation
IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2021
Charl Maree
C. Omlin
AI4TS
134
6
0
24 Sep 2021
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
Jean-Marie John-Mathews
212
39
0
20 Sep 2021
Detection Accuracy for Evaluating Compositional Explanations of Units
Sayo M. Makinwa
Biagio La Rosa
Roberto Capobianco
FAtt
CoGe
261
3
0
16 Sep 2021
DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
Nirmalie Wiratunga
A. Wijekoon
Ikechukwu Nkisi-Orji
Kyle Martin
Chamath Palihawadana
D. Corsar
CML
AAML
108
20
0
13 Sep 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
Francesco Sovrano
F. Vitali
239
41
0
11 Sep 2021
Secondary control activation analysed and predicted with explainable AI
Electric power systems research (EPSR), 2021
Johannes Kruse
B. Schäfer
D. Witthaut
110
22
0
10 Sep 2021
IFBiD: Inference-Free Bias Detection
Ignacio Serna
Daniel DeAlcala
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
CVBM
181
14
0
09 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
IEEE Access (IEEE Access), 2021
Duong Nguyen
Ronan Fablet
269
66
0
08 Sep 2021
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
J. F. Mullen
Josh Mosier
Sounak Chakrabarti
Anqi Chen
Tyler White
Dylan P. Losey
119
34
0
03 Sep 2021
A brief history of AI: how to prevent another winter (a critical review)
Amirhosein Toosi
A. Bottino
Babak Saboury
E. Siegel
Arman Rahmim
143
103
0
03 Sep 2021
Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System
Armin Salimi-Badr
Mohammadreza Hashemi
H. Saffari
102
16
0
02 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
IEEE Transactions on Emerging Topics in Computing (TETC), 2021
Yan Jia
John McDermid
T. Lawton
Ibrahim Habli
257
66
0
01 Sep 2021
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default
Lisa Crosato
C. Liberati
M. Repetto
174
1
0
31 Aug 2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning
Advanced Engineering Informatics (AEI), 2021
Philipp Geyer
M. Singh
Xia Chen
353
26
0
30 Aug 2021
Graph-guided random forest for gene set selection
Scientific Reports (Sci Rep), 2021
Bastian Pfeifer
Hubert Baniecki
Anna Saranti
P. Biecek
Andreas Holzinger
238
26
0
26 Aug 2021
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models
iScience (iScience), 2021
Yiming Cui
Weinan Zhang
Wanxiang Che
Ting Liu
Zhigang Chen
Shijin Wang
LRM
114
13
0
26 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection
International Journal of Computer Vision (IJCV), 2021
Divyang Teotia
Àgata Lapedriza
Sarah Ostadabbas
CVBM
227
4
0
23 Aug 2021
Fast Accurate Defect Detection in Wafer Fabrication
T. Olschewski
33
1
0
23 Aug 2021
Burst Imaging for Light-Constrained Structure-From-Motion
IEEE Robotics and Automation Letters (RA-L), 2021
Ahalya Ravendran
M. Bryson
D. Dansereau
149
7
0
23 Aug 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model
Kwanseok Oh
Jeeseok Yoon
Heung-Il Suk
FAtt
208
34
0
21 Aug 2021
Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence
Pedro A. Moreno-Sánchez
96
49
0
20 Aug 2021
Cases for Explainable Software Systems:Characteristics and Examples
Mersedeh Sadeghi
V. Klös
Andreas Vogelsang
121
20
0
12 Aug 2021
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Raphael Ronge
K. Nho
Christian Wachinger
Sebastian Polsterl
70
4
0
12 Aug 2021
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