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1910.10045
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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
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Papers citing
"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"
50 / 1,485 papers shown
Development of an End-to-end Machine Learning System with Application to In-app Purchases
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Anders Englesson
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Adrian Chmielewski-Anders
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330
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16 Dec 2024
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
Mohammad R. Salmanpour
Sajad Amiri
Sara Gharibi
Ahmad Shariftabrizi
Yixi Xu
William B. Weeks
Arman Rahmim
Ilker Hacihaliloglu
MedIm
288
4
0
14 Dec 2024
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers
Symposium on Medical Information Processing and Analysis (MIPA), 2024
Rosa Y. G. Paccotacya-Yanque
Alceu Bissoto
Sandra Avila
FAtt
261
4
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04 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
Shijie Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
425
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03 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
Aniket K. Singh
Debasis Chaudhuri
Manish P. Singh
Samiran Chattopadhyay
261
4
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02 Dec 2024
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis
Martin Atzmueller
Tim Bohne
Patricia Windler
358
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28 Nov 2024
Functional relevance based on the continuous Shapley value
Pedro Delicado
Cristian Pachón-García
TDI
294
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27 Nov 2024
Don't Let Your Robot be Harmful: Responsible Robotic Manipulation via Safety-as-Policy
IEEE Robotics and Automation Letters (RA-L), 2024
Minheng Ni
Lei Zhang
Zhaoyu Chen
Guang Dai
Wangmeng Zuo
Jianwei Zhang
Lei Zhang
W. Zuo
418
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27 Nov 2024
Learning Predictive Checklists with Probabilistic Logic Programming
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E. Brouwer
Rahul G. Krishnan
384
1
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25 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review
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Alican Akman
Björn Schuller
433
30
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Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
239
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Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
M. Y. Jabarulla
T. Uden
Thomas Jack
P. Beerbaum
S. Oeltze-jafra
302
2
0
15 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
Benjamin Kolicic
Alberto Caron
Chris Hicks
V. Mavroudis
AI4CE
242
2
0
14 Nov 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
Ali Sunyaev
A. Hilbert
488
7
0
07 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems
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Soror Sahri
Themis Palpanas
248
1
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A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers
Stephen McAleese
Mark Keane
260
4
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04 Nov 2024
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Francisco de Arriba-Pérez
Silvia García-Méndez
Javier Otero-Mosquera
Francisco J. González Castaño
340
9
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04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak
Steve Azzolin
Eloise Berthier
Anna Hedström
Patricia Delhomme
...
Goran Frehse
Baptiste Caramiaux
Baptiste Caramiaux
Andrea Passerini
Gianni Franchi
436
5
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SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
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Marco Gaido
Beatrice Savoldi
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Mauro Cettolo
L. Bentivogli
585
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03 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
International Conference on Human Factors in Computing Systems (CHI), 2024
Sruthi Viswanathan
Seray Ibrahim
Ravi Shankar
Reuben Binns
Max Van Kleek
Petr Slovák
364
3
0
02 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence
Ying-Chun Lin
Jennifer Neville
Cassiano Becker
Purvanshi Metha
Nabiha Asghar
Vipul Agarwal
159
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01 Nov 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
International Conference on Learning Representations (ICLR), 2024
Shaobo Wang
Hongxuan Tang
Mingyang Wang
Hao Zhang
Xuyang Liu
Weiya Li
Xuming Hu
Linfeng Zhang
217
0
0
29 Oct 2024
FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
Christos Fragkathoulas
Vasiliki Papanikou
E. Pitoura
Evimaria Terzi
251
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29 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
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280
5
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AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
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Hassan El Alami
D. Rawat
155
2
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On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
Results in Engineering (RE), 2024
Alain Andres
Aitor Martinez-Seras
I. Laña
Javier Del Ser
AAML
290
4
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28 Oct 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques
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Arne Grobrugge
Nidhi Mishra
Johannes Jakubik
G. Satzger
257
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28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
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O. Bahri
Pouya Hosseinzadeh
S. F. Boubrahimi
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388
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27 Oct 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Francesco Bombassei De Bona
Gabriele Dominici
Tim Miller
Marc Langheinrich
M. Gjoreski
231
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0
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Trustworthy XAI and Application
Md Abdullah Al Nasim
Parag Biswas
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A. Biswas
Kishor Datta Gupta
Angona Biswas
Kishor Datta Gupta
368
0
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22 Oct 2024
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
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Mohi Reza
Ioannis Anastasopoulos
Shreya Bhandari
Z. Pardos
194
9
0
21 Oct 2024
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
G. A. Nketiah
M. R. Sunoqrot
E. Sandsmark
S. Langørgen
K. M. Selnæs
H. Bertilsson
M. Elschot
T. F. Bathen
101
2
0
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Linking Model Intervention to Causal Interpretation in Model Explanation
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Kui Yu
T. Le
Jixue Liu
CML
284
0
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21 Oct 2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
Nazanin Nezami
Hadis Anahideh
199
1
0
18 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
306
0
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18 Oct 2024
Explainable AI Methods for Multi-Omics Analysis: A Survey
Ahmad Hussein
Mukesh Prasad
Ali Braytee
SyDa
147
3
0
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An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
Mohammad Al-Sayed Ahmad
Jude Haddad
95
8
0
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A mechanistically interpretable neural network for regulatory genomics
Alex Tseng
Gökçen Eraslan
Tommaso Biancalani
Gabriele Scalia
142
3
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08 Oct 2024
Demonstration Based Explainable AI for Learning from Demonstration Methods
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Elizabeth Croft
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179
2
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Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
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Lorenzo Proietti
Pere-Lluís Huguet Cabot
Edoardo Barba
Roberto Navigli
278
8
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A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
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Esther Villar-Rodriguez
Javier Del Ser
Antonio J. Nebro
Daniel Molina
A. Latorre
Ponnuthurai Nagaratnam Suganthan
Carlos A. Coello Coello
Francisco Herrera
303
322
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ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
Ippei Fujisawa
Sensho Nobe
Hiroki Seto
Rina Onda
Yoshiaki Uchida
Hiroki Ikoma
Pei-Chun Chien
Ryota Kanai
LRM
230
8
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Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
International Conference on Arabic Computational Linguistics (ICACL), 2024
Mesay Gemeda Yigezu
Melkamu Mersha
Girma Yohannis Bade
Jugal Kalita
Olga Kolesnikova
Alexander Gelbukh
203
9
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Explaining an image classifier with a generative model conditioned by uncertainty
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Stéphane Herbin
Faouzi Adjed
328
1
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ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
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Jun Hong
Mengnan Du
Weiru Liu
251
0
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02 Oct 2024
Explainable Multi-Stakeholder Job Recommender Systems
ACM Conference on Recommender Systems (RecSys), 2024
Roan Schellingerhout
110
4
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01 Oct 2024
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
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Amit Kumar Mondal
Hemanta Kumar Mondal
Saraju P. Mohanty
142
1
0
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Explaining Explaining
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M. McShane
Kenneth W. Goodman
Sanjay Oruganti
232
0
0
26 Sep 2024
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru
Chao Min
Yijia Wang
Bo Zhang
Xin Ma
Junyi Cui
AI4TS
107
2
0
26 Sep 2024
A novel application of Shapley values for large multidimensional time-series data: Applying explainable AI to a DNA profile classification neural network
Lauren Elborough
Duncan Taylor
Melissa Humphries
AI4TS
117
2
0
26 Sep 2024
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