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Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction

30 August 2024
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
    XAI
    AI4TS
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction"

18 / 18 papers shown
Title
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
Sridharan Sankaran
17
0
0
22 Apr 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Mersha
Mesay Gemeda Yigezu
Hassan Shakil
Ali Al shami
SangHyun Byun
Jugal Kalita
42
0
0
06 Mar 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Melkamu Mersha
Mesay Gemeda Yigezu
Jugal Kalita
ELM
31
3
0
26 Jan 2025
Investigating the Effectiveness of Explainability Methods in Parkinson's
  Detection from Speech
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
Eleonora Mancini
Francesco Paissan
Paolo Torroni
Mirco Ravanelli
Cem Subakan
39
0
0
12 Nov 2024
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis
  Player's Trajectory
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
Ali AlShami
Terrance Boult
Jugal Kalita
32
8
0
07 Nov 2024
Explainability of Point Cloud Neural Networks Using SMILE: Statistical
  Model-Agnostic Interpretability with Local Explanations
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations
Seyed Mohammad Ahmadi
Koorosh Aslansefat
Ruben Valcarce-Dineiro
Joshua Barnfather
24
1
0
20 Oct 2024
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in
  Under-Resourced Languages Using Explainable AI
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Mesay Gemeda Yigezu
Melkamu Mersha
Girma Yohannis Bade
Jugal Kalita
Olga Kolesnikova
Alexander Gelbukh
34
1
0
03 Oct 2024
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and
  Clustering Algorithms
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Melkamu Mersha
Mesay Gemeda yigezu
Jugal Kalita
20
1
0
30 Sep 2024
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie
Mutahar Safdar
Lequn Chen
Seung Ki Moon
Y. Zhao
34
1
0
09 Aug 2024
The role of causality in explainable artificial intelligence
The role of causality in explainable artificial intelligence
Gianluca Carloni
Andrea Berti
Sara Colantonio
CML
XAI
34
6
0
18 Sep 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
313
8,261
0
28 Jan 2022
Time Series Model Attribution Visualizations as Explanations
Time Series Model Attribution Visualizations as Explanations
U. Schlegel
Daniel A. Keim
TDI
BDL
FAtt
AI4TS
XAI
25
12
0
27 Sep 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
32
301
0
15 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang
Qinghao Ye
Jun Xia
73
353
0
03 Feb 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
126
494
0
28 Dec 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
74
285
0
10 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
225
2,069
0
24 Jun 2017
Representation Learning with Deconvolution for Multivariate Time Series
  Classification and Visualization
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization
Zhiguang Wang
Wei Song
Lu Liu
Fan Zhang
Junxiao Xue
Yangdong Ye
Ming Fan
Mingliang Xu
AI4TS
FAtt
25
23
0
24 Oct 2016
1