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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 / 1,486 papers shown
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Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Yi Zhang
Zhen Chen
Chih-Hong Cheng
Wenjie Ruan
Xiaowei Huang
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David Flynn
Siddartha Khastgir
Xingyu Zhao
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468
6
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26 Sep 2024
GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations
IEEE International Conference on Robotics and Automation (ICRA), 2024
Fethiye Irmak Dogan
Umut Ozyurt
Gizem Cinar
Hatice Gunes
LLMAG
397
6
0
25 Sep 2024
M
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2
PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Taowen Wang
Yiyang Liu
James Liang
Junhan Zhao
Yiming Cui
...
Zenglin Xu
Cheng Han
Lifu Huang
Qifan Wang
Dongfang Liu
MLLM
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362
35
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24 Sep 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation
IEEE International Conference on Multimedia and Expo (ICME), 2021
Yingying Hua
Shiming Ge
Daichi Zhang
FAtt
332
0
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20 Sep 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts
Helen Jin
Shreya Havaldar
Chaehyeon Kim
Anton Xue
Weiqiu You
...
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Amin Madani
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398
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Joshua Holstein
Katelyn Morrison
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Niklas Kühl
236
7
0
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Enhancing Security Testing Software for Systems that Cannot be Subjected to the Risks of Penetration Testing Through the Incorporation of Multi-threading and and Other Capabilities
Matthew Tassava
Cameron Kolodjski
Jordan Milbrath
Jeremy Straub
286
1
0
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Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
Scientific Reports (Sci Rep), 2024
Assaf Shmuel
Teddy Lazebnik
Oren Glickman
Eyal Heifetz
Colin Price
156
6
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16 Sep 2024
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
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Zainab Mosunmola
Sahil Pocker
Raj Abhijit Dandekar
Rajat Dandekar
Sreedath Panat
221
8
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The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review
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Ahmed Alqurashi
Turki Alharbi
Mohammed Alammar
Nasser Aldosari
Houssem Bouchekara
Yusuf Shaaban
Mohammad Shoaib Shahriar
Abdulrahman Al Ayidh
317
0
0
11 Sep 2024
Automate Strategy Finding with LLM in Quant Investment
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhizhuo Kou
Holam Yu
Junyu Luo
Jingshu Peng
Xujia Li
Chengzhong Liu
Juntao Dai
Lei Chen
Sirui Han
Wenhan Luo
AIFin
545
22
0
10 Sep 2024
Explainable AI: Definition and attributes of a good explanation for health AI
AI and Ethics (AI & Ethics), 2024
E. Kyrimi
S. McLachlan
Jared M Wohlgemut
Zane B Perkins
David A. Lagnado
W. Marsh
the ExAIDSS Expert Group
XAI
243
1
0
09 Sep 2024
Standing on the shoulders of giants
British Journal of Sports Medicine (BJSM), 2012
Lucas Felipe Ferraro Cardoso
José de Sousa Ribeiro Filho
Vitor Cirilo Araujo Santos
Regiane Silva Kawasaki Frances
Ronnie Cley de Oliveira Alves
235
1
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05 Sep 2024
Initial Development and Evaluation of the Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD) System
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Zach Johnson
239
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Interpreting Outliers in Time Series Data through Decoding Autoencoder
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Sascha Marton
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369
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Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
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XAI
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718
95
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30 Aug 2024
A prototype-based model for set classification
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Sreejita Ghosh
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405
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25 Aug 2024
The Clever Hans Effect in Unsupervised Learning
Jacob R. Kauffmann
Jonas Dippel
Lukas Ruff
Wojciech Samek
Klaus-Robert Müller
G. Montavon
SSL
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275
25
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15 Aug 2024
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
Daniele Rege Cambrin
Eleonora Poeta
Eliana Pastor
Tania Cerquitelli
Elena Baralis
Paolo Garza
166
17
0
13 Aug 2024
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals
Gregory Yampolsky
Dhruv Desai
Mingshu Li
Stefano Pasquali
Dhagash Mehta
193
5
0
13 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2024
Rahaf Alharbi
P. Lor
Jaylin Herskovitz
S. Schoenebeck
Robin Brewer
221
26
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13 Aug 2024
Fooling SHAP with Output Shuffling Attacks
Jun Yuan
Aritra Dasgupta
280
2
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Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
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Luís Cunha
Moisés Santos
FAtt
219
3
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Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
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Mohamed Nafea
FedML
244
1
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12 Aug 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Upol Ehsan
Mark O. Riedl
251
8
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SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
International Conference on Pattern Recognition (ICPR), 2024
Sriram Mandalika
Athira Nambiar
203
2
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08 Aug 2024
Strong and weak alignment of large language models with human values
Scientific Reports (Sci Rep), 2024
Mehdi Khamassi
Marceau Nahon
Raja Chatila
ALM
236
46
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05 Aug 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method
European Conference on Artificial Intelligence (ECAI), 2024
Ryuta Matsuno
234
0
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05 Aug 2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
Computing and Software for Big Science (CSBS), 2024
Johannes Erdmann
F. Mausolf
Jan Lukas Späh
684
6
0
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Algorithm, Expert, or Both? Evaluating the Role of Feature Selection Methods on User Preferences and Reliance
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Suvarthi Sarkar
Akshat Mittal
235
3
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02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
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James McDermott
C. O'Riordan
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477
2
0
02 Aug 2024
Explainable Emotion Decoding for Human and Computer Vision
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Martina Milazzo
M. Diano
Davide Orsenigo
Maria Chiara Villa
Chiara Di Fazio
Marco Tamietto
Alan Perotti
222
1
0
01 Aug 2024
Discovering Car-following Dynamics from Trajectory Data through Deep Learning
Ohay Angah
James Enouen
Xuegang (Jeff) Ban
Ban
Yan Liu
233
0
0
01 Aug 2024
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
Supriya Manna
Dionis Barcari
587
3
0
31 Jul 2024
Review of Explainable Graph-Based Recommender Systems
ACM Computing Surveys (ACM CSUR), 2024
Thanet Markchom
Huizhi Liang
James Ferryman
XAI
363
1
0
31 Jul 2024
From Feature Importance to Natural Language Explanations Using LLMs with RAG
Sule Tekkesinoglu
Lars Kunze
FAtt
205
4
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30 Jul 2024
Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem
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Romain Billot
Flavien Lucas
Marc Sevaux
167
1
0
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An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
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Esteban García-Cuesta
118
2
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On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
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359
26
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Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
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M. Bugliesi
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254
14
0
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SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
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Surya Koppisetti
Trang Tran
Gaurav Bharaj
412
22
0
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A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
Pierre-Daniel Arsenault
Shengrui Wang
Jean-Marc Patenande
XAI
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333
25
0
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Interpretable Concept-Based Memory Reasoning
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Pietro Barbiero
Francesco Giannini
Gabriele Ciravegna
Michelangelo Diligenti
Giuseppe Marra
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320
14
0
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Are Linear Regression Models White Box and Interpretable?
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Yuhe Wang
XAI
233
5
0
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XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
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Phuc Truong Loc Nguyen
Hung Cao
280
18
0
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344
6
0
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Generally-Occurring Model Change for Robust Counterfactual Explanations
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Tieru Wu
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199
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EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
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Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
400
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Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
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Hendrik Baier
Abhishek Dubey
Ayan Mukhopadhyay
Meiyi Ma
LRM
247
5
0
15 Jul 2024
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