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Explainable Artificial Intelligence: a Systematic Review

Explainable Artificial Intelligence: a Systematic Review

29 May 2020
Giulia Vilone
Luca Longo
    XAI
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence: a Systematic Review"

31 / 31 papers shown
Title
Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI
Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI
Shou-Tzu Han
29
0
0
29 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Eric Granger
36
0
0
16 Apr 2025
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Maja J. Hjuler
Line H. Clemmensen
Sneha Das
FAtt
44
0
0
07 Apr 2025
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
Yongsu Ahn
Yu-Ru Lin
Malihe Alikhani
Eunjeong Cheon
111
0
0
17 Feb 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
67
28
0
30 Aug 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic
  Review
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov
Balint Gyevnar
Cheng Wang
Steven Peters
Stefano V. Albrecht
XAI
26
26
0
08 Feb 2024
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
43
1
0
12 Dec 2023
Trust, distrust, and appropriate reliance in (X)AI: a survey of
  empirical evaluation of user trust
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust
Roel W. Visser
Tobias M. Peters
Ingrid Scharlau
Barbara Hammer
21
5
0
04 Dec 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
35
2
0
31 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Kha-Dinh Luong
Mert Kosan
A. Silva
Ambuj K. Singh
34
6
0
25 May 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
23
1
0
06 Mar 2023
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
27
14
0
08 Nov 2022
A Detailed Study of Interpretability of Deep Neural Network based Top
  Taggers
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
Ayush Khot
Mark S. Neubauer
Avik Roy
AAML
33
16
0
09 Oct 2022
Towards trustworthy Energy Disaggregation: A review of challenges,
  methods and perspectives for Non-Intrusive Load Monitoring
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi
Eftychios E. Protopapadakis
A. Voulodimos
N. Doulamis
Anastasios Doulamis
24
64
0
05 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
10
9
0
04 Jul 2022
Explainable AI for High Energy Physics
Explainable AI for High Energy Physics
Mark S. Neubauer
Avik Roy
15
10
0
14 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
14
51
0
07 Jun 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
19
28
0
25 Mar 2022
Explainable Misinformation Detection Across Multiple Social Media
  Platforms
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
23
17
0
20 Mar 2022
Explainability Is in the Mind of the Beholder: Establishing the
  Foundations of Explainable Artificial Intelligence
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
31
20
0
29 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
24
22
0
30 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed
C. Omlin
XAI
36
414
0
11 Nov 2021
A User-Centred Framework for Explainable Artificial Intelligence in
  Human-Robot Interaction
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
Marco Matarese
F. Rea
A. Sciutti
19
13
0
27 Sep 2021
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
21
137
0
17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
XAI
21
184
0
15 May 2021
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and
  Exact Solution
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
Tekin Evrim Ozmermer
Viktors Roze
Stanislavs Hilcuks
A. Neščerecka
MedIm
19
2
0
22 Apr 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
10
397
0
19 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
26
79
0
17 Sep 2020
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
224
201
0
06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
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