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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"

50 / 1,486 papers shown
Model extraction from counterfactual explanations
Model extraction from counterfactual explanations
Ulrich Aïvodji
Alexandre Bolot
Sébastien Gambs
MIACVMLAU
234
58
0
03 Sep 2020
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time
  for Interactive Data Systems
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems
Jeremy E. Block
Eric D. Ragan
175
8
0
02 Sep 2020
Face Image Quality Assessment: A Literature Survey
Face Image Quality Assessment: A Literature SurveyACM Computing Surveys (ACM CSUR), 2020
Torsten Schlett
Christian Rathgeb
O. Henniger
Javier Galbally
Julian Fierrez
Christoph Busch
CVBM
391
156
0
02 Sep 2020
Machine Reasoning Explainability
Machine Reasoning Explainability
K. Čyras
R. Badrinath
S. Mohalik
A. Mujumdar
Alexandros Nikou
Alessandro Previti
Vaishnavi Sundararajan
Aneta Vulgarakis Feljan
LRM
327
13
0
01 Sep 2020
Algorithmic Transparency with Strategic Users
Algorithmic Transparency with Strategic Users
Qiaochu Wang
Yan-ping Huang
Stefanus Jasin
P. Singh
FaMLFedML
106
29
0
21 Aug 2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using
  LRP
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
Sven Weinzierl
Sandra Zilker
Jens Brunk
K. Revoredo
Martin Matzner
J. Becker
165
32
0
18 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
880
320
0
15 Aug 2020
Explainable Artificial Intelligence Based Fault Diagnosis and Insight
  Harvesting for Steel Plates Manufacturing
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing
A. Kharal
112
11
0
10 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and ChallengesInformation Fusion (Inf. Fusion), 2020
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
305
31
0
09 Aug 2020
Learning CNN filters from user-drawn image markers for coconut-tree
  image classification
Learning CNN filters from user-drawn image markers for coconut-tree image classificationIEEE Geoscience and Remote Sensing Letters (GRSL), 2020
Italos Estilon de Souza
A. X. Falcão
175
24
0
08 Aug 2020
Fuzzy Jaccard Index: A robust comparison of ordered lists
Fuzzy Jaccard Index: A robust comparison of ordered lists
Matej Petković
Blaž Škrlj
D. Kocev
Nikola Simidjievski
177
15
0
05 Aug 2020
Distributed Linguistic Representations in Decision Making: Taxonomy, Key
  Elements and Applications, and Challenges in Data Science and Explainable
  Artificial Intelligence
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
Yuzhu Wu
Zhen Zhang
Gang Kou
Hengjie Zhang
Xiangrui Chao
Congcong Li
Yucheng Dong
Francisco Herrera
74
166
0
04 Aug 2020
Improving concave point detection to better segment overlapped objects
  in images
Improving concave point detection to better segment overlapped objects in images
Miquel Miró-Nicolau
Gabriel Moyà-Alcover
Manuel González Hidalgo
Antoni Jaume-i-Capó
98
1
0
03 Aug 2020
The role of explainability in creating trustworthy artificial
  intelligence for health care: a comprehensive survey of the terminology,
  design choices, and evaluation strategies
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategiesJournal of Biomedical Informatics (JBI), 2020
A. Markus
J. Kors
P. Rijnbeek
263
585
0
31 Jul 2020
Supervised Machine Learning Techniques: An Overview with Applications to
  Banking
Supervised Machine Learning Techniques: An Overview with Applications to BankingInternational Statistical Review (ISR), 2020
Linwei Hu
Jie Chen
J. Vaughan
Hanyu Yang
Kelly Wang
Agus Sudjianto
V. Nair
108
27
0
28 Jul 2020
Memory networks for consumer protection:unfairness exposed
Memory networks for consumer protection:unfairness exposed
Federico Ruggeri
F. Lagioia
Marco Lippi
Paolo Torroni
135
0
0
24 Jul 2020
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the
  Instance Level
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
Michael Pühringer
A. Hinterreiter
M. Streit
166
19
0
22 Jul 2020
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
On Disentangling Spoof Trace for Generic Face Anti-SpoofingEuropean Conference on Computer Vision (ECCV), 2020
Yaojie Liu
J. Stehouwer
Xiaoming Liu
AAMLCVBM
195
126
0
17 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A ReviewNeurocomputing (Neurocomputing), 2020
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
723
195
0
16 Jul 2020
On quantitative aspects of model interpretability
On quantitative aspects of model interpretability
An-phi Nguyen
María Rodríguez Martínez
207
131
0
15 Jul 2020
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven
  Model Interpretability Applied to the Ironmaking Industry
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry
C. Schockaert
Vadim Macher
A. Schmitz
154
20
0
15 Jul 2020
Explaining Deep Neural Networks using Unsupervised Clustering
Explaining Deep Neural Networks using Unsupervised Clustering
Yu-Han Liu
Sercan O. Arik
SSLAI4CE
205
14
0
15 Jul 2020
When stakes are high: balancing accuracy and transparency with
  Model-Agnostic Interpretable Data-driven suRRogates
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
Roel Henckaerts
Katrien Antonio
Marie-Pier Côté
150
3
0
14 Jul 2020
Addressing the interpretability problem for deep learning using many
  valued quantum logic
Addressing the interpretability problem for deep learning using many valued quantum logic
S. Shah
AI4CE
57
1
0
02 Jul 2020
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CMLOffRL
268
24
0
26 Jun 2020
DOME: Recommendations for supervised machine learning validation in
  biology
DOME: Recommendations for supervised machine learning validation in biology
Ian Walsh
D. Fishman
Dario Garcia-Gasulla
T. Titma
Gianluca Pollastri
The ELIXIR Machine Learning focus group
J. Harrow
Fotis Psomopoulos
Silvio C.E. Tosatto
AI4CE
120
3
0
25 Jun 2020
Improving Workflow Integration with xPath: Design and Evaluation of a
  Human-AI Diagnosis System in Pathology
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology
H. Gu
Yuan Liang
Yifan Xu
Christopher Kazu Williams
S. Magaki
...
Wenzhong Yan
X. R. Zhang
Yang Li
Mohammad Haeri
Xiang Ánthony' Chen
345
39
0
23 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable
  AI
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
217
35
0
19 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
133
8
0
17 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
488
713
0
16 Jun 2020
Generating Reliable and Efficient Predictions of Human Motion: A
  Promising Encounter between Physics and Neural Networks
Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks
Alessandro Antonucci
G. P. R. Papini
Luigi Palopoli
Daniele Fontanelli
3DH
177
21
0
15 Jun 2020
Explaining Predictions by Approximating the Local Decision Boundary
Explaining Predictions by Approximating the Local Decision Boundary
G. Vlassopoulos
T. Erven
Henry Brighton
Vlado Menkovski
FAtt
157
9
0
14 Jun 2020
A framework for step-wise explaining how to solve constraint
  satisfaction problems
A framework for step-wise explaining how to solve constraint satisfaction problemsArtificial Intelligence (AIJ), 2020
B. Bogaerts
Emilio Gamba
Tias Guns
LRM
133
18
0
11 Jun 2020
Artificial Intelligence (AI)-Centric Management of Resources in Modern
  Distributed Computing Systems
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems
Shashikant Ilager
R. Muralidhar
Rajkumar Buyya
GNN
181
26
0
09 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
392
278
0
05 Jun 2020
ExKMC: Expanding Explainable $k$-Means Clustering
ExKMC: Expanding Explainable kkk-Means Clustering
Nave Frost
Michal Moshkovitz
Cyrus Rashtchian
240
62
0
03 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19
  based on Chest X-Ray images
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray imagesIEEE journal of biomedical and health informatics (JBHI), 2020
Siham Tabik
A. Gómez-Ríos
J. L. Martín-Rodríguez
I. Sevillano-García
M. Rey-Area
...
J. Luengo
M. A. Valero-González
P. García-Villanova
E. Olmedo-Sánchez
Francisco Herrera
224
295
0
02 Jun 2020
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19
  Pandemic: Leveraging Data Science, Epidemiology and Control Theory
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control Theory
Teodoro Alamo
Daniel Gutiérrez-Reina
P. Millán
136
30
0
01 Jun 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysisJournal of Imaging (JI), 2020
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
296
585
0
28 May 2020
An analysis on the use of autoencoders for representation learning:
  fundamentals, learning task case studies, explainability and challenges
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges
D. Charte
F. Charte
M. J. D. Jesus
Francisco Herrera
SSLOOD
273
61
0
21 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
343
71
0
18 May 2020
Applying Genetic Programming to Improve Interpretability in Machine
  Learning Models
Applying Genetic Programming to Improve Interpretability in Machine Learning Models
Leonardo Augusto Ferreira
F. G. Guimarães
Rodrigo C. P. Silva
78
42
0
18 May 2020
Evolved Explainable Classifications for Lymph Node Metastases
Evolved Explainable Classifications for Lymph Node Metastases
Iam Palatnik de Sousa
M. Vellasco
E. C. Silva
112
7
0
14 May 2020
Towards explainable classifiers using the counterfactual approach --
  global explanations for discovering bias in data
Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in data
Agnieszka Mikołajczyk
M. Grochowski
Arkadiusz Kwasigroch
FAttCML
131
4
0
05 May 2020
A robust algorithm for explaining unreliable machine learning survival
  models using the Kolmogorov-Smirnov bounds
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov boundsNeural Networks (NN), 2020
M. Kovalev
Lev V. Utkin
AAML
235
32
0
05 May 2020
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of
  machine learning survival models
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
Lev V. Utkin
M. Kovalev
E. Kasimov
216
11
0
05 May 2020
A multi-component framework for the analysis and design of explainable
  artificial intelligence
A multi-component framework for the analysis and design of explainable artificial intelligenceMachine Learning and Knowledge Extraction (MLKE), 2020
S. Atakishiyev
H. Babiker
Nawshad Farruque
R. Goebel1
Myeongjung Kima
M. H. Motallebi
J. Rabelo
T. Syed
O. R. Zaïane
164
43
0
05 May 2020
An Information-theoretic Visual Analysis Framework for Convolutional
  Neural Networks
An Information-theoretic Visual Analysis Framework for Convolutional Neural NetworksSmart Tools and Applications in Graphics (STAG), 2020
Jingyi Shen
Han-Wei Shen
FAttHAI
102
1
0
02 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model AnalysisData mining and knowledge discovery (DMKD), 2020
Hubert Baniecki
Dariusz Parzych
P. Biecek
324
53
0
01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the UninitiatedJournal of Artificial Intelligence Research (JAIR), 2020
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAMLXAI
454
425
0
30 Apr 2020
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