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

16 October 2020

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

14 / 14 papers shown

Title
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 24 11 0 30 Mar 2024
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 29 2 0 28 Sep 2023
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes Yosuke Miyanishi M. Nguyen 28 2 0 19 Aug 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition Luca Arrotta Gabriele Civitarese Claudio Bettini 19 0 0 08 Jun 2023
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 33 27 0 13 May 2023
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 24 38 0 17 Nov 2022
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems Keyur Faldu Amit P. Sheth Prashant Kikani Darshan Patel AIMat 25 0 0 02 Jun 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 17 1 0 02 Sep 2021
M-ar-K-Fast Independent Component Analysis Luca Parisi 30 0 0 17 Aug 2021
Knowledge-intensive Language Understanding for Explainable AI A. Sheth Manas Gaur Kaushik Roy Keyur Faldu 19 48 0 02 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 27 128 0 21 Jul 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 23 138 0 17 May 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018