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
v1v2 (latest)

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
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 / 1,389 papers shown
Title
Are Linear Regression Models White Box and Interpretable?
Are Linear Regression Models White Box and Interpretable?
A. M. Salih
Yuhe Wang
XAI
68
2
0
16 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with
  Data-centric Explainable Edge AI Approach
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen
Phuc Truong Loc Nguyen
Hung Cao
72
6
0
16 Jul 2024
Towards consistency of rule-based explainer and black box model --
  fusion of rule induction and XAI-based feature importance
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance
M. Kozielski
Marek Sikora
Lukasz Wawrowski
111
2
0
16 Jul 2024
Generally-Occurring Model Change for Robust Counterfactual Explanations
Generally-Occurring Model Change for Robust Counterfactual Explanations
Ao Xu
Tieru Wu
AAML
60
2
0
16 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
123
1
0
16 Jul 2024
Enabling MCTS Explainability for Sequential Planning Through Computation
  Tree Logic
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
Ziyan An
Hendrik Baier
Abhishek Dubey
Ayan Mukhopadhyay
Meiyi Ma
LRM
76
5
0
15 Jul 2024
Explainable bank failure prediction models: Counterfactual explanations
  to reduce the failure risk
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk
Seyma Gunonu
Gizem Altun
Mustafa Cavus
68
1
0
14 Jul 2024
Integrating AI Tutors in a Programming Course
Integrating AI Tutors in a Programming Course
Iris Ma
A. Krone-Martins
Cristina V. Lopes
75
4
0
14 Jul 2024
The Language of Weather: Social Media Reactions to Weather Accounting
  for Climatic and Linguistic Baselines
The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
James C. Young
Rudy Arthur
Hywel T. P. Williams
55
0
0
10 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
55
1
0
10 Jul 2024
A Machine Learning and Explainable AI Framework Tailored for Unbalanced
  Experimental Catalyst Discovery
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery
Parastoo Semnani
Mihail Bogojeski
Florian Bley
Zizheng Zhang
Qiong Wu
Thomas Kneib
Jan Herrmann
Christoph Weisser
Florina Patcas
Klaus-Robert Müller
20
4
0
10 Jul 2024
Explainable Metric Learning for Deflating Data Bias
Explainable Metric Learning for Deflating Data Bias
Emma Andrews
Prabhat Mishra
82
1
0
05 Jul 2024
From Data to Commonsense Reasoning: The Use of Large Language Models for
  Explainable AI
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI
Stefanie Krause
Frieder Stolzenburg
ELMLRM
100
2
0
04 Jul 2024
How Reliable and Stable are Explanations of XAI Methods?
How Reliable and Stable are Explanations of XAI Methods?
José Ribeiro
Lucas F. F. Cardoso
Vitor Santos
Eduardo Carvalho
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
XAI
117
1
0
03 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
164
1
0
01 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI:
  A Case Study of Model Interpretation in Geometric Deep Learning
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
Jiajun Zhu
Siqi Miao
Rex Ying
Pan Li
77
2
0
30 Jun 2024
ShapG: new feature importance method based on the Shapley value
ShapG: new feature importance method based on the Shapley value
Chi Zhao
Jing Liu
Elena Parilina
FAtt
295
6
0
29 Jun 2024
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
110
4
0
27 Jun 2024
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular
  Risk Communication
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
Diego Rojo
Houda Lamqaddam
Lucija Gosak
K. Verbert
19
0
0
26 Jun 2024
CAT: Interpretable Concept-based Taylor Additive Models
CAT: Interpretable Concept-based Taylor Additive Models
Viet Duong
Qiong Wu
Zhengyi Zhou
Hongjue Zhao
Chenxiang Luo
Eric Zavesky
Huaxiu Yao
Huajie Shao
FAtt
73
2
0
25 Jun 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule
  Extraction
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
Yu Chen
Tianyu Cui
Alexander Capstick
Nan Fletcher-Loyd
Payam Barnaghi
81
0
0
25 Jun 2024
Tree-based variational inference for Poisson log-normal models
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard
Anna Bonnet
Elisabeth Gassiat
Sylvain Le Corff
65
0
0
25 Jun 2024
Data-driven Modeling in Metrology -- A Short Introduction, Current
  Developments and Future Perspectives
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
90
3
0
24 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
74
1
0
22 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local
  Explanations
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke
Vitória Guardieiro
Joao Rulff
Peter Xenopoulos
G. Chan
Brian Barr
L. G. Nonato
Claudio Silva
75
3
0
21 Jun 2024
Investigating the Role of Explainability and AI Literacy in User
  Compliance
Investigating the Role of Explainability and AI Literacy in User Compliance
Niklas Kühl
Christian Meske
Maximilian Nitsche
Jodie Lobana
50
5
0
18 Jun 2024
A transparency-based action model implemented in a robotic physical
  trainer for improved HRI
A transparency-based action model implemented in a robotic physical trainer for improved HRI
Aharony Naama
Krakovski Maya
Edan Yael
26
0
0
16 Jun 2024
Enhancing Text Corpus Exploration with Post Hoc Explanations and
  Comparative Design
Enhancing Text Corpus Exploration with Post Hoc Explanations and Comparative Design
Michael Gleicher
Keaton Leppenan
Yunyu Bai
63
0
0
14 Jun 2024
Explainable AI for Comparative Analysis of Intrusion Detection Models
Explainable AI for Comparative Analysis of Intrusion Detection Models
Pap M. Corea
Yongxin Liu
Jian Wang
Shuteng Niu
Houbing Song
76
6
0
14 Jun 2024
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory
  Analysis
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
Attrayee Chakraborty
M. Karhade
52
4
0
12 Jun 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
77
2
0
12 Jun 2024
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in
  LLMs for Depression Prediction
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Micol Spitale
Jiaee Cheong
Hatice Gunes
54
4
0
12 Jun 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent
  Intelligent Systems
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems
Ryan Zhou
Jaume Bacardit
Alexander Brownlee
Stefano Cagnoni
Martin Fyvie
Giovanni Iacca
John Mccall
Niki van Stein
David Walker
Ting-Kuei Hu
102
1
0
12 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease
  Progression Prediction
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
Raja Farrukh Ali
Stephanie Milani
John Woods
Emmanuel Adenij
Ayesha Farooq
Clayton Mansel
Jeffrey Burns
William Hsu
72
0
0
11 Jun 2024
Beyond Words: On Large Language Models Actionability in Mission-Critical
  Risk Analysis
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis
Matteo Esposito
Francesco Palagiano
Valentina Lenarduzzi
Davide Taibi
177
7
0
11 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
269
11
0
11 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis
  and Dating of Cuneiform Tablets over Three Millennia
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia
Danielle Kapon
Michael Fire
S. Gordin
114
1
0
06 Jun 2024
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable
  Artificial Intelligence (XAI) Techniques
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Samita Bai
Sidra Nasir
Rizwan Ahmed Khan
Sheeraz Arif
Alexandre Meyer
H. Konik
80
5
0
01 Jun 2024
Enhancing Counterfactual Image Generation Using Mahalanobis Distance
  with Distribution Preferences in Feature Space
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
Yukai Zhang
Ao Xu
Zihao Li
Tieru Wu
82
1
0
31 May 2024
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
Chen Xiong
Xiangyu Qi
Pin-Yu Chen
Tsung-Yi Ho
AAML
117
22
0
30 May 2024
I See You: Teacher Analytics with GPT-4 Vision-Powered Observational
  Assessment
I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment
Unggi Lee
Yeil Jeong
Junbo Koh
Gyuri Byun
Yunseo Lee
Hyunwoong Lee
Seunmin Eun
Jewoong Moon
Cheolil Lim
Hyeoncheol Kim
37
3
0
28 May 2024
Explainable machine learning multi-label classification of Spanish legal
  judgements
Explainable machine learning multi-label classification of Spanish legal judgements
Francisco de Arriba-Pérez
Silvia García-Méndez
Francisco J. González Castaño
Jaime González-González
AILaw
67
15
0
27 May 2024
Interpretable Prognostics with Concept Bottleneck Models
Interpretable Prognostics with Concept Bottleneck Models
Florent Forest
Katharina Rombach
Olga Fink
63
1
0
27 May 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
Christine P. Lee
M. Lee
Bilge Mutlu
HAI
76
6
0
26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
192
4
0
24 May 2024
From Explainable to Interactive AI: A Literature Review on Current
  Trends in Human-AI Interaction
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction
Muhammad Raees
Inge Meijerink
Ioanna Lykourentzou
Vassilis-Javed Khan
Konstantinos Papangelis
94
39
0
23 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement
  Learning
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
134
16
0
23 May 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating
  The Influence of Experiences
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka
Guanquan Wang
Takashi Onishi
Yoshimasa Tsuruoka
107
0
0
23 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using
  WordNet
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Loris Giulivi
Giacomo Boracchi
62
2
0
23 May 2024
A Transformer variant for multi-step forecasting of water level and
  hydrometeorological sensitivity analysis based on explainable artificial
  intelligence technology
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology
Mingyu Liu
Nana Bao
Xingting Yan
Chenyang Li
Kai Peng
48
0
0
22 May 2024
Previous
123456...262728
Next