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Yashrajsinh Chudasama
Yashrajsinh Chudasama
Research Associate, TIB Leibniz Information Centre for Science and Technology
Verified email at tib.eu
Title
Cited by
Cited by
Year
InterpretME: A tool for interpretations of machine learning models over knowledge graphs
Y Chudasama, D Purohit, PD Rohde, J Gercke, ME Vidal
Semantic Web, 1-21, 2023
92023
SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning
D Purohit, Y Chudasama, A Rivas, ME Vidal
Proceedings of the 12th Knowledge Capture Conference 2023, 44-52, 2023
42023
Enhancing Interpretability of Machine Learning Models over Knowledge Graphs.
Y Chudasama, D Purohit, PD Rohde, ME Vidal
SEMANTiCS (Posters & Demos), 2023
42023
VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity
D Purohit, Y Chudasama, M Torrente, ME Vidal
CEUR Proceedings of the First Workshop on Explainable Artificial …, 2024
22024
Exploiting Semantics for Explaining Link Prediction Over Knowledge Graphs
Y Chudasama
European Semantic Web Conference, 321-330, 2023
22023
Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines
MEV Mayra Russo, Yashrajsinh Chudasama, Disha Purohit, Sammy Sawischa
IEEE Access 12, 96821--96847, 2024
12024
Semantic Web and Creative AI--A Technical Report from ISWS 2023
RA Ahmad, R Alharbi, R Barile, M Böckling, F Bolanos, S Bonfitto, ...
arXiv preprint arXiv:2501.18542, 2025
2025
Towards Interpretable Hybrid AI: Integrating Knowledge Graphs and Symbolic Reasoning in Medicine
Y Chudasama, H Huang, D Purohit, ME Vidal
IEEE Access, 2025
2025
Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine
ME Vidal, Y Chudasama, H Huang, D Purohit, M Torrente
Journal of Web Semantics 84, 100856, 2025
2025
Semantically Describing Predictive Models for Interpretable Insights into Lung Cancer Relapse
Y Chudasama, D Purohit, PD Rohde, E Iglesias, M Torrente, ME Vidal
Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 142-158, 2024
2024
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