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Oshani Seneviratne

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Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19

Mar 09, 2024
David Fong, Tianshu Chu, Matthew Heflin, Xiaosi Gu, Oshani Seneviratne

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Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination

Oct 31, 2023
Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal

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LLM-augmented Preference Learning from Natural Language

Oct 12, 2023
Inwon Kang, Sikai Ruan, Tyler Ho, Jui-Chien Lin, Farhad Mohsin, Oshani Seneviratne, Lirong Xia

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PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace

Jul 27, 2023
Matthew T. Pisano, Connor J. Patterson, Oshani Seneviratne

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MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment

Jul 09, 2023
Manan Shukla, Oshani Seneviratne

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Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

Feb 11, 2023
Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigoz, Mohamed Ghalwash, Oshani Seneviratne, Fernando Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness

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Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case

Jul 15, 2021
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Fernando Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness

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Semantic Modeling for Food Recommendation Explanations

May 04, 2021
Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Daniel Gruen, Deborah L. McGuinness

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