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Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and
  Research Challenges

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

9 December 2021
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
ArXivPDFHTML

Papers citing "Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges"

7 / 7 papers shown
Title
A Survey on the Integration of Generative AI for Critical Thinking in
  Mobile Networks
A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
Athanasios Karapantelakis
Alexandros Nikou
Ajay Kattepur
Jean Martins
Leonid Mokrushin
S. Mohalik
Marin Orlic
Aneta Vulgarakis Feljan
29
1
0
10 Apr 2024
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis
  of Skin Lesions
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
36
61
0
04 Jan 2022
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G
  Enabled Cooperative Autonomous Driving
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
Xiaosha Chen
S. Leng
Jianhua He
Longyu Zhou
16
55
0
26 Dec 2020
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Xiong Liu
L. Finelli
Greg L. Hersch
I. Khalil
20
5
0
18 Dec 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,707
0
18 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
45
374
0
21 Jan 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,684
0
28 Feb 2017
1