Publications

Ferando Spadea, Oshani Seneviratne (2024). Navigating the Chaos: The Sandbox Network Analysis. ACM Web Science'24 Conference.
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Inwon Kang, William Van Woensel, Oshani Seneviratne (2024). Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies. The 8th International Workshop on Health Intelligence at AAAI'24, February 26-27 2024, Vancouver, Canada.
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Henrique Santos, Jamie McCusker, John S. Erickson, Alice M. Mulvehill, Oshani Seneviratne, Deborah McGuinness (2024). Towards Computable and Explainable Policies Using Semantic Web Standards. International Semantic Web Conference - 15th Workshop on Ontology Design and Patterns (WOP).
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Fernando Spadea, Oshani Seneviratne (2024). Support and Scandals in GameFi DApps: A Network Analysis of The Sandbox Transactions. 2024 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS).
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David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne (2024). Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing COVID-19 Mental Health Impact. 2024 8th International Conference on Medical and Health Informatics (ICMHI 2024).
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Gjorgjina Cenikj, Mauro Dragoni, Tome Eftimov, Barbara Koroušić Seljak, Agnieszka Ławrynowicz, Fnu Mohbat, Oshani Seneviratne, Yoko Yamakata, Mohammed J. Zaki (2024). Neurosymbolic Methods for Food Computing. Frontiers in Artificial Intelligence and Applications: The Handbook on Neurosymbolic AI and Knowledge Graphs.
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Inwon Kang, Sikai Ruan, Jui-Chien Lin, Tyler Ho, Farhad Mohsin, Oshani Seneviratne, Lirong Xia (2024). LLM-powered Preference Learning from Natural Language. Twenty-Fifth ACM Conference on Economics and Computation (EC) - Workshop on Foundation Models and Game Theory (FMGT 2024).
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William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan Patton, Samina Abidi (2024). Explanations of Symbolic Reasoning to Effect Patient Persuasion and Education. Explainable Artificial Intelligence and Process Mining Applications for Healthcare.
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Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne (2024). Effective Data Distillation for Tabular Datasets. AAAI Student Abstracts and Posters.
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Oshani Seneviratne (2024). Decentralized, Explainable, and Personalized Mental Health Monitoring. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI).
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