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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 / 1,486 papers shown
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Information Fusion (Inf. Fusion), 2022
Yang Nan
Javier Del Ser
Simon Walsh
Carola Schönlieb
M. Roberts
...
Philippe Lambin
Leonor Cerdá Alberich
L. Martí-Bonmatí
Francisco Herrera
Guang Yang
231
124
0
17 Jan 2022
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets
Mohsen Asgari
S. H. Khasteh
161
5
0
15 Jan 2022
A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles
Eric L. Manibardo
I. Laña
Esther Villar-Rodriguez
Javier Del Ser
274
4
0
11 Jan 2022
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
Wirtschaftsinformatik (WI), 2022
Maximilian Harl
Marvin Herchenbach
Sven Kruschel
Nico Hambauer
Patrick Zschech
Mathias Kraus
152
2
0
06 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
210
77
0
04 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
326
16
0
31 Dec 2021
Self Reward Design with Fine-grained Interpretability
Scientific Reports (Sci Rep), 2021
Erico Tjoa
G. Cuntai
256
1
0
30 Dec 2021
Two Instances of Interpretable Neural Network for Universal Approximations
Erico Tjoa
G. Cuntai
128
2
0
30 Dec 2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
245
28
0
29 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process
International Conference on Human Factors in Computing Systems (CHI), 2021
Wencan Zhang
Brian Y. Lim
AAML
XAI
268
72
0
28 Dec 2021
A Survey on Interpretable Reinforcement Learning
Machine-mediated learning (ML), 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Zhenxing Ge
Jianye Hao
Wulong Liu
OffRL
330
149
0
24 Dec 2021
Forward Composition Propagation for Explainable Neural Reasoning
IEEE Computational Intelligence Magazine (IEEE CIM), 2021
Isel Grau
Gonzalo Nápoles
M. Bello
Yamisleydi Salgueiro
A. Jastrzębska
172
2
0
23 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification
Information Sciences (Inf. Sci.), 2021
Gonzalo Nápoles
Fabian Hoitsma
A. Knoben
A. Jastrzębska
Maikel Leon Espinosa
187
21
0
23 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
IEEE Access (IEEE Access), 2021
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
647
203
0
21 Dec 2021
Toward Explainable AI for Regression Models
IEEE Signal Processing Magazine (IEEE SPM), 2021
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
234
83
0
21 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson
David M. Douglas
Qinghua Lu
Emma Schleiger
Jon Whittle
J. Lacey
G. Newnham
S. Hajkowicz
Cathy J. Robinson
David Hansen
FaML
434
72
0
14 Dec 2021
Levels of Autonomous Radiology
S. Ghuwalewala
V. Kulkarni
R. Pant
A. Kharat
MedIm
184
12
0
14 Dec 2021
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Khushnaseeb Roshan
Aasim Zafar
AAML
161
65
0
14 Dec 2021
Multi-Attention Multiple Instance Learning
A. Konstantinov
Lev V. Utkin
163
15
0
11 Dec 2021
Evaluating saliency methods on artificial data with different background types
Céline Budding
Fabian Eitel
K. Ritter
Stefan Haufe
XAI
FAtt
MedIm
183
5
0
09 Dec 2021
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
233
33
0
09 Dec 2021
Training Deep Models to be Explained with Fewer Examples
Tomoharu Iwata
Yuya Yoshikawa
FAtt
283
2
0
07 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
Neural Information Processing Systems (NeurIPS), 2021
Julien Colin
Thomas Fel
Rémi Cadène
Thomas Serre
343
124
0
06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations
European Conference on Computer Vision (ECCV), 2021
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
394
131
0
06 Dec 2021
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Thorsten Hoeser
C. Kuenzer
413
24
0
06 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Science Advances (Sci Adv), 2021
Tamara Broderick
Andrew Gelman
Rachael Meager
Anna L. Smith
Tian Zheng
203
15
0
05 Dec 2021
Combining Sub-Symbolic and Symbolic Methods for Explainability
Anna Himmelhuber
S. Grimm
Sonja Zillner
Mitchell Joblin
Martin Ringsquandl
Thomas Runkler
128
7
0
03 Dec 2021
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
Jubril Gbolahan Adigun
Matteo Camilli
Michael Felderer
Andrea Giusti
D. Matt
A. Perini
B. Russo
A. Susi
134
6
0
01 Dec 2021
Multi-task fusion for improving mammography screening data classification
M. Wimmer
Gert Sluiter
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Katja Bühler
121
15
0
01 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich
Patrick Fuhlert
Anne Ernst
G. Sauter
M. Lennartz
H. Stiehl
Marina Zimmermann
Stefan Bonn
172
7
0
26 Nov 2021
Meaningful human control: actionable properties for AI system development
Luciano Cavalcante Siebert
M. Lupetti
Evgeni Aizenberg
N. Beckers
Arkady Zgonnikov
...
G. Houben
Catholijn M. Jonker
J. van den Hoven
Deborah Forster
R. Lagendijk
195
76
0
25 Nov 2021
Demystifying Graph Neural Network Explanations
Anna Himmelhuber
Mitchell Joblin
Martin Ringsquandl
Thomas Runkler
111
6
0
25 Nov 2021
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
Xiaoshui Huang
Wentao Qu
Yifan Zuo
Yuming Fang
Xiaowei Zhao
3DPC
126
47
0
18 Nov 2021
Acquisition of Chess Knowledge in AlphaZero
Thomas McGrath
A. Kapishnikov
Nenad Tomašev
Adam Pearce
Demis Hassabis
Been Kim
Ulrich Paquet
Vladimir Kramnik
432
192
0
17 Nov 2021
How Mock Model Training Enhances User Perceptions of AI Systems
Amama Mahmood
G. Ajaykumar
Chien-Ming Huang
62
1
0
16 Nov 2021
A Unified and Fast Interpretable Model for Predictive Analytics
Expert systems with applications (ESWA), 2021
Yunan Zhu
Rui Ding
Tianchi Qiao
Zhitao Zou
Shi Han
Dongmei Zhang
115
5
0
16 Nov 2021
Fast Axiomatic Attribution for Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
134
47
0
15 Nov 2021
Patent Data for Engineering Design: A Critical Review and Future Directions
Journal of Computing and Information Science in Engineering (JCISE), 2021
Shuo Jiang
Serhad Sarica
Binyang Song
Jie Hu
Jianxi Luo
PINN
AI4CE
164
17
0
15 Nov 2021
A Survey on AI Assurance
Journal of Big Data (J Big Data), 2021
Feras A. Batarseh
Laura J. Freeman
244
77
0
15 Nov 2021
Scrutinizing XAI using linear ground-truth data with suppressor variables
Machine-mediated learning (ML), 2021
Rick Wilming
Céline Budding
K. Müller
Stefan Haufe
FAtt
329
32
0
14 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications
Social Science Research Network (SSRN), 2021
Adrien Bennetot
Ivan Donadello
Ayoub El Qadi
M. Dragoni
Thomas Frossard
...
M. Trocan
Raja Chatila
Andreas Holzinger
Artur Garcez
Natalia Díaz Rodríguez
XAI
189
12
0
13 Nov 2021
Learning Interpretation with Explainable Knowledge Distillation
Raed Alharbi
Minh Nhat Vu
My T. Thai
148
22
0
12 Nov 2021
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls
Z. Deger
Gülsen Taskin Kaya
93
20
0
12 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Knowledge-Based Systems (KBS), 2021
Waddah Saeed
C. Omlin
XAI
278
589
0
11 Nov 2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Donghoon Shin
Sachin Grover
Kenneth Holstein
Adam Perer
109
4
0
04 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities
O. Kuiper
M. V. D. Berg
Joost van den Burgt
S. Leijnen
132
37
0
03 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
237
406
0
01 Nov 2021
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
Jayant Gupta
Carl Molnar
Gaoxiang Luo
Joe Knight
Shashi Shekhar
131
0
0
29 Oct 2021
Explaining Latent Representations with a Corpus of Examples
Neural Information Processing Systems (NeurIPS), 2021
Jonathan Crabbé
Zhaozhi Qian
F. Imrie
M. Schaar
FAtt
177
43
0
28 Oct 2021
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
479
65
0
27 Oct 2021
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