ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.10045
  4. Cited By
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI

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

22 October 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
S. Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
    XAI
ArXivPDFHTML

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

50 / 430 papers shown
Title
A Brief Overview of AI Governance for Responsible Machine Learning
  Systems
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill
Abhishek Mathur
Marcos V. Conde
19
5
0
21 Nov 2022
Learn to explain yourself, when you can: Equipping Concept Bottleneck
  Models with the ability to abstain on their concept predictions
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions
J. Lockhart
Daniele Magazzeni
Manuela Veloso
11
4
0
21 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
22
3
0
15 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
29
7
0
12 Nov 2022
Explainable Artificial Intelligence in Construction: The Content,
  Context, Process, Outcome Evaluation Framework
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Peter E. D. Love
J. Matthews
Weili Fang
Stuart Porter
Hanbin Luo
L. Ding
30
2
0
12 Nov 2022
REVEL Framework to measure Local Linear Explanations for black-box
  models: Deep Learning Image Classification case of study
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study
Iván Sevillano-García
Julián Luengo-Martín
Francisco Herrera
XAI
FAtt
19
7
0
11 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of
  Explanations
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
27
18
0
10 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques,
  Experimental Comparison and Guidelines towards Their Actionability
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
32
1
0
28 Oct 2022
Painting the black box white: experimental findings from applying XAI to
  an ECG reading setting
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
19
9
0
27 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCV
OOD
AI4CE
14
2
0
24 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the
  explanation space
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan
Klaus Broelemann
Gjergji Kasneci
T. Tiropanis
Steffen Staab
FAtt
25
7
0
22 Oct 2022
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
22
209
0
19 Oct 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific
  Method to Explain Tree-Ensemble Model in Trust Perspective
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
José de Sousa Ribeiro Filho
Lucas F. F. Cardoso
R. Silva
Vitor Cirilo Araujo Santos
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
13
4
0
18 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI
Machine Learning in Transaction Monitoring: The Prospect of xAI
Julie Gerlings
Ioanna D. Constantiou
17
2
0
14 Oct 2022
Good AI for Good: How AI Strategies of the Nordic Countries Address the
  Sustainable Development Goals
Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals
Andreas Theodorou
J. Nieves
Virginia Dignum
13
1
0
08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake
  Detectors
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
Federico Baldassarre
Quentin Debard
Gonzalo Fiz Pontiveros
Tri Kurniawan Wijaya
36
4
0
07 Oct 2022
Understanding Interventional TreeSHAP : How and Why it Works
Understanding Interventional TreeSHAP : How and Why it Works
Gabriel Laberge
Y. Pequignot
FAtt
19
6
0
29 Sep 2022
Learning When to Advise Human Decision Makers
Learning When to Advise Human Decision Makers
Gali Noti
Yiling Chen
39
15
0
27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce
  interpretable predictions for image classification
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
25
29
0
26 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI
  Decision-Making
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
36
45
0
23 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
32
2
0
23 Sep 2022
XClusters: Explainability-first Clustering
XClusters: Explainability-first Clustering
Hyunseung Hwang
Steven Euijong Whang
21
5
0
22 Sep 2022
An Overview of Violence Detection Techniques: Current Challenges and
  Future Directions
An Overview of Violence Detection Techniques: Current Challenges and Future Directions
N. Mumtaz
N. Ejaz
Shabana Habib
Syed Muhammad Mohsin
Prayag Tiwari
Shahab S. Band
Neeraj Kumar
28
28
0
21 Sep 2022
Interpretable Selective Learning in Credit Risk
Interpretable Selective Learning in Credit Risk
Dangxing Chen
Weicheng Ye
Jiahui Ye
FaML
22
14
0
21 Sep 2022
Survey on Fairness Notions and Related Tensions
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
31
24
0
16 Sep 2022
Computing Abductive Explanations for Boosted Trees
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
24
12
0
16 Sep 2022
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
21
91
0
14 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference
  Explanations
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
15
10
0
02 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
24
148
0
31 Aug 2022
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind
  Approach
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Samuel Westby
Christoph Riedl
LLMAG
16
23
0
24 Aug 2022
Explainable AI for tailored electricity consumption feedback -- an
  experimental evaluation of visualizations
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner
T. Weiß
Felix Haag
K. Hopf
23
11
0
24 Aug 2022
Augmented cross-selling through explainable AI -- a case from energy
  retailing
Augmented cross-selling through explainable AI -- a case from energy retailing
Felix Haag
K. Hopf
Pedro Menelau Vasconcelos
Thorsten Staake
21
4
0
24 Aug 2022
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation
Andrew Herren
P. R. Hahn
FAtt
19
9
0
21 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
26
12
0
19 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
33
10
0
18 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative
  Immersive Analytics
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
Michaela Benk
Raphael P. Weibel
Stefan Feuerriegel
Andrea Ferrario
21
3
0
09 Aug 2022
Planning and Scheduling in Digital Health with Answer Set Programming
Planning and Scheduling in Digital Health with Answer Set Programming
Marco Mochi
14
0
0
05 Aug 2022
Adaptive occlusion sensitivity analysis for visually explaining video
  recognition networks
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks
Tomoki Uchiyama
Naoya Sogi
S. Iizuka
Koichiro Niinuma
Kazuhiro Fukui
16
2
0
26 Jul 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining
  AI Systems
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
Silvan Mertes
Christina Karle
Tobias Huber
Katharina Weitz
Ruben Schlagowski
Elisabeth André
19
12
0
19 Jul 2022
Investigating the Impact of Independent Rule Fitnesses in a Learning
  Classifier System
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
17
5
0
12 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey
Machine Learning Security in Industry: A Quantitative Survey
Kathrin Grosse
L. Bieringer
Tarek R. Besold
Battista Biggio
Katharina Krombholz
30
32
0
11 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert
  System Networks
Automating the Design and Development of Gradient Descent Trained Expert System Networks
Jeremy Straub
8
9
0
04 Jul 2022
RES: A Robust Framework for Guiding Visual Explanation
RES: A Robust Framework for Guiding Visual Explanation
Yuyang Gao
Tong Sun
Guangji Bai
Siyi Gu
S. Hong
Liang Zhao
FAtt
AAML
XAI
21
32
0
27 Jun 2022
Stop ordering machine learning algorithms by their explainability! A
  user-centered investigation of performance and explainability
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
11
84
0
20 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of
  Interpretability
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé
Alicia Curth
Ioana Bica
M. Schaar
CML
20
15
0
16 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
MedIm
31
6
0
07 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A
  Survey
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
12
51
0
07 Jun 2022
A Human-Centric Take on Model Monitoring
A Human-Centric Take on Model Monitoring
Murtuza N. Shergadwala
Himabindu Lakkaraju
K. Kenthapadi
37
9
0
06 Jun 2022
Previous
123456789
Next