activity
20132026
most citedInforming clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

27 citations · 95 across the 53 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.DC2023

Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance

Conor Flynn, Kristin P. Bennett, John S. Erickson +2

With the agile development process of most academic and corporate entities, designing a robust computational back-end system that can support their ever-changing data needs is a co…

cs.AI2023

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

Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane +3

Knowledge Graphs (KGs) have emerged as fundamental platforms for powering intelligent decision-making and a wide range of Artificial Intelligence (AI) services across major corpora…

cs.CL2023★ 4 cited

LLM-augmented Preference Learning from Natural Language

Inwon Kang, Sikai Ruan, Tyler Ho +4

Finding preferences expressed in natural language is an important but challenging task. State-of-the-art(SotA) methods leverage transformer-based models such as BERT, RoBERTa, etc.…

cs.LG2023★ 1 cited

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

Matthew T. Pisano, Connor J. Patterson, Oshani Seneviratne

Limited access to computing resources and training data poses significant challenges for individuals and groups aiming to train and utilize predictive machine learning models. Alth…

cs.LG2023★ 1 cited

MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment

Manan Shukla, Oshani Seneviratne

Mental health disorders remain a significant challenge in modern healthcare, with diagnosis and treatment often relying on subjective patient descriptions and past medical history.…

cs.CY2023★ 4 cited

Assessing Scientific Contributions in Data Sharing Spaces

Kacy Adams, Fernando Spadea, Conor Flynn +1

In the present academic landscape, the process of collecting data is slow, and the lax infrastructures for data collaborations lead to significant delays in coming up with and diss…

cs.LG2023★ 27 cited

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

Shruthi Chari, Prasant Acharya, Daniel M. Gruen +8

Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by contextual explanations that let the practitioner connect system inference…

cs.CR2023

Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses

Jared Gridley, Oshani Seneviratne

Blockchain systems and cryptocurrencies have exploded in popularity over the past decade, and with this growing user base, the number of cryptocurrency scams has also surged. Given…