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Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
11 November 2021
Waddah Saeed
C. Omlin
XAI
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Papers citing
"Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities"
50 / 84 papers shown
Title
Which LIME should I trust? Concepts, Challenges, and Solutions
Patrick Knab
Sascha Marton
Udo Schlegel
Christian Bartelt
FAtt
33
0
0
31 Mar 2025
Guidelines For The Choice Of The Baseline in XAI Attribution Methods
Cristian Morasso
Giorgio Dolci
I. Galazzo
Sergey M. Plis
Gloria Menegaz
27
0
0
25 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
Wenlong Yu
Qilong Wang
Chuang Liu
Dong Li
Q. Hu
LRM
58
0
0
19 Mar 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Ashley Suh
Isabelle Hurley
Nora Smith
H. Siu
37
1
0
13 Mar 2025
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences
Jun Hou
Lucy Lu Wang
37
0
0
27 Feb 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
Jiaxin Xu
Hung Chau
Angela Burden
TDI
41
0
0
18 Feb 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez
Florian Sobieczky
AI4TS
40
0
0
17 Jan 2025
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
Osvaldo Arreche
Mustafa Abdallah
AAML
31
1
0
14 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability
Supriya Manna
Niladri Sett
52
0
0
30 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
J. Liu
N. Shah
Ping Chen
75
2
0
18 Dec 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
A. Sunyaev
A. Hilbert
18
0
0
07 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
Sruthi Viswanathan
Seray Ibrahim
Ravi Shankar
Reuben Binns
Max Van Kleek
Petr Slovák
49
1
0
02 Nov 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Peiyu Li
O. Bahri
Pouya Hosseinzadeh
S. F. Boubrahimi
S. M. Hamdi
CML
LRM
22
1
0
27 Oct 2024
Trustworthy XAI and Application
Md Abdullah Al Nasim
Parag Biswas
Abdur Rashid
A. Biswas
Kishor Datta Gupta
Angona Biswas
Kishor Datta Gupta
14
2
0
22 Oct 2024
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification
Danny Y. C. Wang
Lars Arne Jordanger
Jerry Chun-Wei Lin
15
0
0
21 Oct 2024
Assistive AI for Augmenting Human Decision-making
Natabara Máté Gyöngyössy
Bernát Török
Csilla Farkas
Laura Lucaj
Attila Menyhárd
Krisztina Menyhárd-Balázs
András Simonyi
Patrick van der Smagt
Zsolt Ződi
András Lőrincz
21
0
0
18 Oct 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI
Navneet Kaur
Lav Gupta
13
0
0
04 Oct 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts
Helen Jin
Shreya Havaldar
Chaehyeon Kim
Anton Xue
Weiqiu You
...
Bhuvnesh Jain
Amin Madani
M. Sako
Lyle Ungar
Eric Wong
24
0
0
20 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
Jae Hee Lee
Georgii Mikriukov
Gesina Schwalbe
Stefan Wermter
D. Wolter
43
2
0
20 Sep 2024
Explainable AI: Definition and attributes of a good explanation for health AI
E. Kyrimi
S. McLachlan
Jared M Wohlgemut
Zane B Perkins
David A. Lagnado
W. Marsh
the ExAIDSS Expert Group
XAI
16
1
0
09 Sep 2024
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
Anli Ji
Chetraj Pandey
Berkay Aydin
17
0
0
06 Sep 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning
Andrew Smart
Atoosa Kasirzadeh
22
0
0
05 Sep 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method
Ryuta Matsuno
21
0
0
05 Aug 2024
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
Youssef Doulfoukar
Laurent Mertens
Joost Vennekens
FAtt
14
0
0
19 Jul 2024
A survey and taxonomy of methods interpreting random forest models
Maissae Haddouchi
A. Berrado
32
1
0
17 Jul 2024
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
18
0
0
16 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet
Seitaro Otsuki
T. Iida
Félix Doublet
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Komei Sugiura
FAtt
33
4
0
12 Jul 2024
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media
Chen Chen
Mingwei Li
Fenghuan Li
Haopeng Chen
Yuankun Lin
18
0
0
12 Jul 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Igor G. Smit
Jianan Zhou
Robbert Reijnen
Yaoxin Wu
Jian Chen
Cong Zhang
Z. Bukhsh
Wim P. M. Nuijten
Yingqian Zhang
GNN
AI4CE
26
8
0
20 Jun 2024
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
N. V. Stein
David Walker
Ting-Kuei Hu
26
0
0
12 Jun 2024
Automated Trustworthiness Testing for Machine Learning Classifiers
Steven Cho
Seaton Cousins-Baxter
Stefano Ruberto
Valerio Terragni
18
0
0
07 Jun 2024
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
D. V. Cuong
Branislava Lalić
Mina Petrić
Binh Nguyen
M. Roantree
PINN
AI4CE
36
0
0
07 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Kristian Kersting
24
7
0
06 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks
Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
31
5
0
03 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
Sören Schleibaum
Lu Feng
Sarit Kraus
Jörg P. Müller
22
2
0
31 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
36
14
0
23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Yuya Yoshikawa
Masanari Kimura
Ryotaro Shimizu
Yuki Saito
FAtt
22
0
0
23 May 2024
False Sense of Security in Explainable Artificial Intelligence (XAI)
N. C. Chung
Hongkyou Chung
Hearim Lee
L. Brocki
Hongbeom Chung
George C. Dyer
25
2
0
06 May 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Frész
Elena Dubovitskaya
Danilo Brajovic
Marco F. Huber
Christian Horz
33
6
0
19 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations
Nils Ole Breuer
Andreas Sauter
Majid Mohammadi
Erman Acar
FAtt
21
2
0
17 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
Hector Kohler
Quentin Delfosse
Paul Festor
Philippe Preux
25
0
0
16 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
67
26
0
15 Apr 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Tommaso Torda
Andrea Ciardiello
Simona Gargiulo
Greta Grillo
Simone Scardapane
Cecilia Voena
S. Giagu
19
0
0
05 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
47
5
0
18 Mar 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection
Valentina Zaccaria
David Dandolo
Chiara Masiero
Gian Antonio Susto
22
2
0
02 Mar 2024
Position: Explain to Question not to Justify
Przemysław Biecek
Wojciech Samek
22
11
0
21 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Yongchen Zhou
Richard Jiang
11
1
0
07 Feb 2024
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering
Marc Schmitt
20
0
0
06 Feb 2024
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series
Shamima Hossain
Christos Faloutsos
Boris Baer
Hyoseung Kim
V. Tsotras
10
2
0
02 Feb 2024
XAI for All: Can Large Language Models Simplify Explainable AI?
Philip Mavrepis
Georgios Makridis
G. Fatouros
Vasileios Koukos
Maria Margarita Separdani
D. Kyriazis
40
16
0
23 Jan 2024
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