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Semantics of the Black-Box: Can knowledge graphs help make deep learning
  systems more interpretable and explainable?

Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?

16 October 2020
Manas Gaur
Keyur Faldu
A. Sheth
ArXivPDFHTML

Papers citing "Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?"

11 / 11 papers shown
Title
Targeted aspect-based emotion analysis to detect opportunities and
  precaution in financial Twitter messages
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
Silvia García-Méndez
Francisco de Arriba-Pérez
Ana Barros-Vila
Francisco J. González Castaño
16
11
0
30 Mar 2024
Navigating Healthcare Insights: A Birds Eye View of Explainability with
  Knowledge Graphs
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Satvik Garg
Anh Nguyen
Somya Garg
10
2
0
28 Sep 2023
Causal Intersectionality and Dual Form of Gradient Descent for
  Multimodal Analysis: a Case Study on Hateful Memes
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Yosuke Miyanishi
M. Nguyen
14
2
0
19 Aug 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Luca Arrotta
Gabriele Civitarese
Claudio Bettini
6
0
0
08 Jun 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable
  Question Generation for Mental Health Diagnostic Assistance
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
Kaushik Roy
Manas Gaur
Misagh Soltani
Vipula Rawte
A. Kalyan
Amit P. Sheth
AI4MH
13
27
0
13 May 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
16
35
0
17 Nov 2022
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems
Keyur Faldu
Amit P. Sheth
Prashant Kikani
Darshan Patel
AIMat
14
0
0
02 Jun 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed
C. Omlin
XAI
25
409
0
11 Nov 2021
M-ar-K-Fast Independent Component Analysis
M-ar-K-Fast Independent Component Analysis
Luca Parisi
16
0
0
17 Aug 2021
Knowledge-intensive Language Understanding for Explainable AI
Knowledge-intensive Language Understanding for Explainable AI
A. Sheth
Manas Gaur
Kaushik Roy
Keyur Faldu
8
48
0
02 Aug 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
249
618
0
04 Dec 2018
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