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 | 5 | 2023 |
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 | 4 | 2023 |
Enhancing Interpretability of Machine Learning Models over Knowledge Graphs. Y Chudasama, D Purohit, PD Rohde, ME Vidal SEMANTiCS (Posters & Demos), 2023 | 4 | 2023 |
Exploiting Semantics for Explaining Link Prediction Over Knowledge Graphs Y Chudasama European Semantic Web Conference, 321-330, 2023 | 2 | 2023 |
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 |