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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
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
Social Science Research Network (SSRN), 2021
Jiahao Chen
Victor Storchan
Eren Kurshan
181
13
0
11 Aug 2021
Attention-like feature explanation for tabular data
International Journal of Data Science and Analysis (JDSA), 2021
A. Konstantinov
Lev V. Utkin
FAtt
305
5
0
10 Aug 2021
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool
Educational Data Mining (EDM), 2021
Ajay Kulkarni
Olga Gkountouna
113
3
0
30 Jul 2021
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
Stanisław Giziński
Michal Kuzba
Bartosz Pieliñski
Julian Sienkiewicz
Stanislaw Laniewski
P. Biecek
116
1
0
29 Jul 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge
Aryan Karn
Ashutosh Acharya
193
0
0
29 Jul 2021
Discovering User-Interpretable Capabilities of Black-Box Planning Agents
International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021
Pulkit Verma
Shashank Rao Marpally
Siddharth Srivastava
ELM
LLMAG
411
25
0
28 Jul 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
International Conference on Human Factors in Computing Systems (CHI), 2021
Upol Ehsan
Samir Passi
Q. V. Liao
Larry Chan
I-Hsiang Lee
Michael J. Muller
Mark O. Riedl
247
108
0
28 Jul 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Hanxiao Tan
Helena Kotthaus
3DPC
211
35
0
28 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
International Conference on Automated Software Engineering (ASE), 2021
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
508
81
0
26 Jul 2021
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
IEEE Signal Processing Magazine (IEEE SPM), 2021
Ian E. Nielsen
Dimah Dera
Ghulam Rasool
N. Bouaynaya
R. Ramachandran
FAtt
369
101
0
23 Jul 2021
Philosophical Specification of Empathetic Ethical Artificial Intelligence
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021
Michael Timothy Bennett
Y. Maruyama
116
14
0
22 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
Scientific Reports (Sci Rep), 2021
T. Dash
Sharad Chitlangia
Aditya Ahuja
Harshvardhan Mestha
367
161
0
21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
IEEE Access (IEEE Access), 2021
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
275
35
0
20 Jul 2021
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network
Yiran Wang
Zhen Li
102
3
0
19 Jul 2021
Desiderata for Explainable AI in statistical production systems of the European Central Bank
Carlos Navarro
Georgios Kanellos
Thomas Gottron
181
10
0
18 Jul 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Xingbo Wang
Jianben He
Zhihua Jin
Muqiao Yang
Yong Wang
Huamin Qu
209
92
0
17 Jul 2021
Artificial Intelligence in PET: an Industry Perspective
PET Clinics (PC), 2021
Arkadiusz Sitek
Sangtae Ahn
E. Asma
A. Chandler
Alvin Ihsani
S. Prevrhal
Arman Rahmim
Babak Saboury
K. Thielemans
99
5
0
14 Jul 2021
Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach
A. Barbado
Óscar Corcho
108
8
0
13 Jul 2021
A Classification of Artificial Intelligence Systems for Mathematics Education
S. Van Vaerenbergh
Adrián Pérez-Suay
164
22
0
13 Jul 2021
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
Sebastian Polsterl
Christina Aigner
Christian Wachinger
FAtt
128
5
0
13 Jul 2021
Leveraging Explainability for Comprehending Referring Expressions in the Real World
Fethiye Irmak Dogan
G. I. Melsión
Iolanda Leite
198
8
0
12 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
412
258
0
12 Jul 2021
Explainable AI: current status and future directions
Prashant Gohel
Priyanka Singh
M. Mohanty
XAI
254
113
0
12 Jul 2021
From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overview
Laura Giordano
Valentina Gliozzi
Daniele Theseider Dupré
SSeg
AI4CE
145
1
0
10 Jul 2021
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice
T. Vermeire
Thibault Laugel
X. Renard
David Martens
Marcin Detyniecki
147
23
0
09 Jul 2021
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Gonzalo Nápoles
Yamisleydi Salgueiro
Isel Grau
Maikel Leon Espinosa
137
28
0
07 Jul 2021
Deep Learning for Micro-expression Recognition: A Survey
Yante Li
Jinsheng Wei
Yang Liu
Janne Kauttonen
Guoying Zhao
364
112
0
06 Jul 2021
Does Dataset Complexity Matters for Model Explainers?
J. Ribeiro
R. Silva
Lucas F. F. Cardoso
Ronnie Cley de Oliveira Alves
XAI
ELM
149
15
0
06 Jul 2021
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
Shashikant Ilager
Rajkumar Buyya
106
6
0
06 Jul 2021
A Review of Explainable Artificial Intelligence in Manufacturing
G. Sofianidis
Jože M. Rožanec
Dunja Mladenić
D. Kyriazis
186
26
0
05 Jul 2021
Improving a neural network model by explanation-guided training for glioma classification based on MRI data
Frantisek Sefcik
Wanda Benesova
211
25
0
05 Jul 2021
Here's What I've Learned: Asking Questions that Reveal Reward Learning
Soheil Habibian
Ananth Jonnavittula
Dylan P. Losey
220
21
0
02 Jul 2021
Pairing Conceptual Modeling with Machine Learning
Data & Knowledge Engineering (DKE), 2021
W. Maass
V. Storey
HAI
179
42
0
27 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
Christopher J. Anders
David Neumann
Wojciech Samek
K. Müller
Sebastian Lapuschkin
234
82
0
24 Jun 2021
Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang
R. Kueng
Giacomo Torlai
Victor V. Albert
J. Preskill
AI4CE
357
285
0
23 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Yang Liu
Sujay Khandagale
Colin White
Willie Neiswanger
263
82
0
23 Jun 2021
Interpretable Face Manipulation Detection via Feature Whitening
Yingying Hua
Daichi Zhang
Pengju Wang
Shiming Ge
AAML
FAtt
CVBM
93
2
0
21 Jun 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Lev V. Utkin
A. Konstantinov
Kirill Vishniakov
FAtt
356
7
0
16 Jun 2021
mSHAP: SHAP Values for Two-Part Models
Spencer Matthews
Brian Hartman
75
14
0
16 Jun 2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
Johannes Rabold
M. Siebers
Ute Schmid
93
19
0
15 Jun 2021
Counterfactual Explanations as Interventions in Latent Space
Data mining and knowledge discovery (DMKD), 2021
Riccardo Crupi
Alessandro Castelnovo
D. Regoli
Beatriz San Miguel González
CML
175
28
0
14 Jun 2021
Characterizing the risk of fairwashing
Neural Information Processing Systems (NeurIPS), 2021
Ulrich Aïvodji
Hiromi Arai
Sébastien Gambs
Satoshi Hara
257
31
0
14 Jun 2021
Exploring deterministic frequency deviations with explainable AI
IEEE International Conference on Smart Grid Communications (SmartGridComm), 2021
Johannes Kruse
B. Schäfer
D. Witthaut
80
16
0
14 Jun 2021
Entropy-based Logic Explanations of Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
Pietro Lio
Marco Gori
S. Melacci
FAtt
XAI
400
93
0
12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
288
27
0
11 Jun 2021
Explainable AI, but explainable to whom?
Julie Gerlings
Millie Søndergaard Jensen
Arisa Shollo
192
50
0
10 Jun 2021
SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction
Information Sciences (Inf. Sci.), 2021
Marek Sikora
Pawel Matyszok
Lukasz Wróbel
105
13
0
09 Jun 2021
Explaining Time Series Predictions with Dynamic Masks
International Conference on Machine Learning (ICML), 2021
Jonathan Crabbé
M. Schaar
FAtt
AI4TS
189
107
0
09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
Knowledge-Based Systems (KBS), 2021
Andrea Apicella
Salvatore Giugliano
Francesco Isgrò
R. Prevete
312
19
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
313
45
0
09 Jun 2021
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