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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
Trust in AI and Its Role in the Acceptance of AI Technologies
Trust in AI and Its Role in the Acceptance of AI TechnologiesInternational journal of human computer interactions (IJHCI), 2022
Hyesun Choung
Prabu David
Arun Ross
121
545
0
23 Mar 2022
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and
  Behavioral Measures
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures
Nicolas Scharowski
S. Perrig
Nick von Felten
Florian Brühlmann
110
30
0
23 Mar 2022
Explainability in reinforcement learning: perspective and position
Explainability in reinforcement learning: perspective and position
Agneza Krajna
Mario Brčič
T. Lipić
Juraj Dončević
303
28
0
22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAMLELM
245
21
0
21 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 ApplicationsInternational Journal of Production Research (IJPR), 2022
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DVAI4CE
220
186
0
21 Mar 2022
Explainable Misinformation Detection Across Multiple Social Media
  Platforms
Explainable Misinformation Detection Across Multiple Social Media PlatformsIEEE Access (IEEE Access), 2022
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
265
26
0
20 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
336
46
0
20 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey
Explainability in Graph Neural Networks: An Experimental Survey
Peibo Li
Yixing Yang
Maurice Pagnucco
Yang Song
163
39
0
17 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model ImprovementInformation Fusion (Inf. Fusion), 2022
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
259
128
0
15 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
403
7
0
14 Mar 2022
Interpretable machine learning in Physics
Interpretable machine learning in PhysicsNature Reviews Physics (Nat. Rev. Phys.), 2022
C. Grojean
A. Paul
Zhuoni Qian
Inga Strümke
AI4CEFAtt
136
33
0
11 Mar 2022
Trust in AI and Implications for the AEC Research: A Literature Analysis
Trust in AI and Implications for the AEC Research: A Literature Analysis
Newsha Emaminejad
Alexander North
Reza Akhavian
208
20
0
08 Mar 2022
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised ModelsInternational Conference on Machine Learning (ICML), 2022
Jonathan Crabbé
M. Schaar
FAttMILM
185
24
0
03 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural NetworksThe Visual Computer (TVC), 2022
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAMLFAtt
182
4
0
02 Mar 2022
Approximating a deep reinforcement learning docking agent using linear
  model trees
Approximating a deep reinforcement learning docking agent using linear model treesEuropean Control Conference (ECC), 2021
Vilde B. Gjærum
Ella-Lovise H. Rørvik
A. Lekkas
133
7
0
01 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear
  Model Trees with User Adapted Visualization
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted VisualizationJournal of Marine Science and Engineering (JMSE), 2021
Vilde B. Gjærum
Inga Strümke
O. Alsos
A. Lekkas
FAtt
181
18
0
01 Mar 2022
Explainability for identification of vulnerable groups in machine learning models
Inga Strümke
Marija Slavkovik
FaML
244
3
0
01 Mar 2022
Explainable deepfake and spoofing detection: an attack analysis using
  SHapley Additive exPlanations
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanationsThe Speaker and Language Recognition Workshop (Odyssey), 2022
W. Ge
Massimiliano Todisco
Nicholas W. D. Evans
AAML
260
14
0
28 Feb 2022
Quality Monitoring and Assessment of Deployed Deep Learning Models for
  Network AIOps
Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps
Lixuan Yang
Dario Rossi
94
10
0
28 Feb 2022
The Impact of Explanations on Layperson Trust in Artificial
  Intelligence-Driven Symptom Checker Apps: Experimental Study
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental StudyJournal of Medical Internet Research (JMIR), 2021
Claire Woodcock
Brent Mittelstadt
Dan Busbridge
Grant Blank
193
35
0
27 Feb 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
167
0
0
25 Feb 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for
  Random Forest
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
Shucen Ma
Jianqi Shi
Yanhong Huang
Shengchao Qin
Zhe Hou
AAML
139
4
0
25 Feb 2022
Fine-grained TLS services classification with reject option
Fine-grained TLS services classification with reject option
Jan Luxemburk
T. Čejka
140
41
0
24 Feb 2022
Training Characteristic Functions with Reinforcement Learning:
  XAI-methods play Connect Four
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect FourInternational Conference on Machine Learning (ICML), 2022
S. Wäldchen
Felix Huber
Sebastian Pokutta
FAtt
226
8
0
23 Feb 2022
Explainability in Machine Learning: a Pedagogical Perspective
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff
I. Papantonis
Auste Simkute
Vaishak Belle
169
3
0
21 Feb 2022
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer
  Learning for Telepresence Robotics
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsIEEE Access (IEEE Access), 2022
Fernando Amodeo
F. Caballero
N. Díaz-Rodríguez
L. Merino
LM&Ro
379
13
0
21 Feb 2022
Conflict-Based Search for Explainable Multi-Agent Path Finding
Conflict-Based Search for Explainable Multi-Agent Path FindingInternational Conference on Automated Planning and Scheduling (ICAPS), 2022
Justin Kottinger
Shaull Almagor
Morteza Lahijanian
132
16
0
20 Feb 2022
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs
  for Fair Assessment of Commercial Driving
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
J. M. Mase
Direnc Pekaslan
Utkarsh Agrawal
M. Mesgarpour
P. Chapman
Mercedes Torres Torres
Grazziela Figueredo
183
3
0
20 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned
  Representations
Explaining, Evaluating and Enhancing Neural Networks' Learned RepresentationsInternational Conference on Artificial Neural Networks (ICANN), 2022
Marco Bertolini
Djork-Arné Clevert
F. Montanari
FAtt
206
6
0
18 Feb 2022
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?Applied Informatics (AI), 2022
Charl Maree
C. Omlin
AIFin
258
7
0
18 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image
  Analysis
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin
Xiaoxiao Li
M. Fatehi
Ghassan Hamarneh
ELMXAI
346
126
0
16 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal
XAI in the context of Predictive Process Monitoring: Too much to Reveal
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
130
1
0
16 Feb 2022
Explainability of Predictive Process Monitoring Results: Can You See My
  Data Issues?
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?Applied Sciences (Appl. Sci.), 2022
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
235
16
0
16 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL
  tasks with visual inputs
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs
Leonardo Lucio Custode
Giovanni Iacca
159
17
0
10 Feb 2022
Computing Rule-Based Explanations of Machine Learning Classifiers using
  Knowledge Graphs
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
Edmund Dervakos
Orfeas Menis Mastromichalakis
A. Chortaras
Giorgos Stamou
FAtt
264
6
0
08 Feb 2022
Introducing explainable supervised machine learning into interactive
  feedback loops for statistical production system
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
Carlos Mougan
G. Kanellos
Johannes Micheler
Jose Martinez
Thomas Gottron
162
2
0
07 Feb 2022
Stratification of carotid atheromatous plaque using interpretable deep
  learning methods on B-mode ultrasound images
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound imagesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
Theofanis Ganitidis
M. Athanasiou
K. Dalakleidi
Nikos Melanitis
S. Golemati
K. Nikita
72
9
0
04 Feb 2022
Separating Rule Discovery and Global Solution Composition in a Learning
  Classifier System
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
132
12
0
03 Feb 2022
An ASP approach for reasoning on neural networks under a finitely
  many-valued semantics for weighted conditional knowledge bases
An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge basesTheory and Practice of Logic Programming (TPLP), 2022
Laura Giordano
Daniele Theseider Dupré
290
23
0
02 Feb 2022
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV
  inspection
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV inspection
Luca Morando
Carmine Tommaso Recchiuto
Jacopo Calla
Paolo Scuteri
A. Sgorbissa
353
43
0
02 Feb 2022
Explainable AI through the Learning of Arguments
Explainable AI through the Learning of Arguments
Jonas Bei
David Pomerenke
Lukas Schreiner
Sepideh Sharbaf
Pieter Collins
N. Roos
99
1
0
01 Feb 2022
From Explanations to Segmentation: Using Explainable AI for Image
  Segmentation
From Explanations to Segmentation: Using Explainable AI for Image SegmentationVISIGRAPP (VISIGRAPP), 2022
Clemens Seibold
Johannes Kunzel
Anna Hilsmann
Peter Eisert
SSeg
132
9
0
01 Feb 2022
Classification of White Blood Cell Leukemia with Low Number of
  Interpretable and Explainable Features
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features
W. Lamberti
VLM
59
3
0
28 Jan 2022
Explainability in Music Recommender Systems
Explainability in Music Recommender SystemsThe AI Magazine (AI Mag.), 2022
Darius Afchar
Alessandro B. Melchiorre
Markus Schedl
Romain Hennequin
Elena V. Epure
Manuel Moussallam
273
71
0
25 Jan 2022
Image features of a splashing drop on a solid surface extracted using a
  feedforward neural network
Image features of a splashing drop on a solid surface extracted using a feedforward neural networkThe Physics of Fluids (Phys. Fluids), 2022
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
109
14
0
24 Jan 2022
Reinforcement Learning Your Way: Agent Characterization through Policy
  Regularization
Reinforcement Learning Your Way: Agent Characterization through Policy RegularizationApplied Informatics (AI), 2022
Charl Maree
C. Omlin
156
8
0
21 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AIACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELMXAI
618
569
0
20 Jan 2022
Visualization and Analysis of Wearable Health Data From COVID-19
  Patients
Visualization and Analysis of Wearable Health Data From COVID-19 Patients
S. Suter
Georg R. Spinner
Bianca Hoelz
Sofia Rey
S. Thanabalasingam
J. Eckstein
S. Hirsch
82
0
0
19 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via
  Descriptive Policy
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive PolicyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hyunsung Lee
211
1
0
18 Jan 2022
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based
  on Ultrasound Image Texture Features
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features
Alireza Rezazadeh
Yasamin Jafarian
A. Kord
MedIm
138
25
0
17 Jan 2022
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