| Knowledge graphs for enhancing transparency in health data ecosystems 1 F Aisopos, S Jozashoori, E Niazmand, D Purohit, A Rivas, A Sakor, ... Semantic Web 14 (5), 943-976, 2023 | 14 | 2023 |
| Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): a multicontinental retrospective study R Klén, D Purohit, R Gómez-Huelgas, JM Casas-Rojo, JM Antón-Santos, ... Elife 11, 2022 | 12 | 2022 |
| 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 | 9 | 2023 |
| 2D image transmission using light fidelity technology V Shah, D Purohit, P Samant, R Karani International Journal of Innovations & Advancement in Computer Science 4 (4 …, 2015 | 9 | 2015 |
| 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 |
| 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 | 2 | 2024 |
| Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines M Russo, Y Chudasama, D Purohit, S Sawischa, ME Vidal IEEE Access, 2024 | 1 | 2024 |
| Semantic and Efficient Symbolic Learning over Knowledge Graphs D Purohit European Semantic Web Conference, 244-254, 2023 | 1 | 2023 |
| Mining Symbolic Rules to Explain Lung Cancer Treatments D Purohit, ME Vidal European Semantic Web Conference, 69-74, 2023 | 1 | 2023 |
| 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 |
| A lung cancer diagnosis and treatment dataset with geno-and phenotypical characteristics of the patient B Ríos-Sánchez, G Vigueras, A García, D Gómez-Bravo, E Menasalvas, ... Data in Brief 57, 111167, 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 |
| A is the B of C:(Semi)-Automatic Creation of Vossian Antonomasias. J Rockstroh, G D'Ippolito, N Lazzari, AM Oudshoorn, D Purohit, E Raoufi, ... Wikidata@ ISWC, 2023 | | 2023 |
| Knowledge Graphs for Enhancing Transparency in Health Data Ecosystems ME Vidal, A Sakor, S Jozashoori, E Niazmand, D Purohit, E Iglesias, ... Semantic Web 14 (5), 943-976, 2023 | | 2023 |
| A is the B of C:(Semi)-Automatic Creation of Vossian Antonomasias G D’Ippolito, N Lazzari, AM Oudshoorn, D Purohit, E Raoufi, J Rockstroh, ... The 4th Wikidata Workshop, 0 | | |
