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Yashrajsinh Chudasama
Yashrajsinh Chudasama
Research Associate, TIB Leibniz Information Centre for Science and Technology
在 tib.eu 的电子邮件经过验证
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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
52023
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
Exploiting Semantics for Explaining Link Prediction Over Knowledge Graphs
Y Chudasama
European Semantic Web Conference, 321-330, 2023
22023
VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity
D Purohit, Y Chudasama, M Torrente, ME Vidal
2024
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
2024
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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