| Explanation Ontology: A Model of Explanations for User-Centered AI S Chari, O Seneviratne, DM Gruen, MA Foreman, AK Das, ... International Semantic Web Conference (ISWC), 2020 12507, 2020 | 98 | 2020 |
| Directions for Explainable Knowledge-Enabled Systems S Chari, DM Gruen, O Seneviratne, DL McGuinness Knowledge Graphs for eXplainable Artificial Intelligence: Foundations …, 2020 | 43 | 2020 |
| Foundations of Explainable Knowledge-Enabled Systems S Chari, DM Gruen, O Seneviratne, DL McGuinness Knowledge Graphs for eXplainable Artificial Intelligence: Foundations …, 2020 | 31 | 2020 |
| Semantic modeling for food recommendation explanations I Padhiar, O Seneviratne, S Chari, D Gruen, DL McGuinness 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW …, 2021 | 28 | 2021 |
| Knowledge integration for disease characterization: A breast cancer example O Seneviratne, SM Rashid, S Chari, JP McCusker, KP Bennett, ... The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 21 | 2018 |
| Making study populations visible through knowledge graphs S Chari, M Qi, NN Agu, O Seneviratne, JP McCusker, KP Bennett, AK Das, ... International Semantic Web Conference, 53-68, 2019 | 15 | 2019 |
| Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes S Chari, P Acharya, DM Gruen, O Zhang, EK Eyigoz, M Ghalwash, ... Artificial Intelligence in Medicine 137, 102498, 2023 | 13 | 2023 |
| Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations S Chari, O Seneviratne, M Ghalwash, S Shirai, DM Gruen, P Meyer, ... Semantic Web Journal, 2022 | 8 | 2022 |
| Designing for AI Explainability in Clinical Context DM Gruen, S Chari, MA Foreman, O Seneviratne, AK Das, ... Trustworthy AI for Healthcare Workshop (TAIH) at Association for Advancement …, 2021 | 6 | 2021 |
| Enabling Trust in Clinical Decision Support Recommendations through Semantics O Seneviratne, AK Das, S Chari, NN Agu, SM Rashid, CH Chen, ... SeWeBMeDa@ ISWC, 55-67, 2019 | 6 | 2019 |
| Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations, Semantic Web Preprint (2023), 1–31 S Chari, O Seneviratne, M Ghalwash, S Shirai, DM Gruen, P Meyer, ... Preprint. doi 10, 0 | 6 | |
| G-PROV: provenance management for clinical practice guidelines NN Agu, N Keshan, S Chari, O Seneviratne, S Rashid, AK Das, ... Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics, 2019 | 5 | 2019 |
| Semantically enabling clinical decision support recommendations O Seneviratne, AK Das, S Chari, NN Agu, SM Rashid, J McCusker, ... Journal of Biomedical Semantics 14 (1), 8, 2023 | 3 | 2023 |
| Semantic modeling of cohort descriptions in research studies S Chari, R Weerawarana, O Seneviratne, JP McCusker, DL McGuinness, ... AMIA, 2018 | 3 | 2018 |
| LODScape: Ontology-Based Multiple-LOD Object Browser In: Proc. 12th ISWC-2013 K Mahesh, S Chari, S Ramakrishnan Semantic Web Challenge, Sydney, Australia, 2013 | 3* | 2013 |
| Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case S Chari, P Chakraborty, M Ghalwash, O Seneviratne, EK Eyigoz, ... KDD Applied Data Science in Healthcare Workshop, arXiv preprint arXiv:2107.02359, 2021 | 2 | 2021 |
| Explanation ontology in action: a clinical use-case S Chari, O Seneviratne, DM Gruen, MA Foreman, AK Das, ... CEUR-WS, 2020 | 2 | 2020 |
| Knowledge extraction of cohort characteristics in research publications JDS Franklin, S Chari, MA Foreman, O Seneviratne, DM Gruen, ... AMIA Annual Symposium Proceedings 2020, 462, 2020 | 2 | 2020 |
| G-PROV: A Provenance Encoding Structure for Guideline Evidence S Stephen, O Seneviratne, DL McGuinness, S Chari, A Das AMIA, 2018 | 2 | 2018 |
| Understanding Clinician Workflows to Design AI Risk Prediction Models O Zhang, S Chari, FS Saiz, D Gruen, P Acharya, O Seneviratne, P Meter, ... Poster @ AMIA Annual Symposium, 2022 | 1 | 2022 |
Deborah L. McGuinnessTetherless World Chair, Prof. Computer, Cognitive,Web Sciences, Industrial &Systems Engineering,RPIVerified email at cs.rpi.edu
