Data science for next-generation recommender systems
Data science has been the foundation of recommender systems for a long time. Over the
past few decades, various recommender systems have been developed using different data …
past few decades, various recommender systems have been developed using different data …
Catch Me If You GPT: Tutorial on Deepfake Texts
Abstract In recent years, Natural Language Generation (NLG) techniques have greatly
advanced, especially in the realm of Large Language Models (LLMs). With respect to the …
advanced, especially in the realm of Large Language Models (LLMs). With respect to the …
Healthcare Assistance Challenges-Driven Neurosymbolic AI
K Roy - Biomedical Journal of Scientific &Technical …, 2024 - scholarcommons.sc.edu
Abstract Although Artificial Intelligence technology has proven effective in providing
healthcare assistance by analyzing health data, it still falls short in supporting decision …
healthcare assistance by analyzing health data, it still falls short in supporting decision …
Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic AI
K Roy - 2024 - scholarcommons.sc.edu
Abstract Although Artificial Intelligence technology has proven effective in providing
healthcare assistance by analyzing health data, it still falls short in supporting decision …
healthcare assistance by analyzing health data, it still falls short in supporting decision …
Knowledge-infused Reinforcement Learning
Virtual health agents (VHAs) have received considerable attention, but the early focus has
been on collecting data, hel** patients follow generic health guidelines, and providing …
been on collecting data, hel** patients follow generic health guidelines, and providing …
ACM web conference 2023
Improving the performance and explanations of ML algorithms is a priority for adoption by
humans in the real world. In critical domains such as healthcare, such technology has …
humans in the real world. In critical domains such as healthcare, such technology has …
Knowledge-infused Statistical Learning for Social Good
Humans are able to provide symbolic knowledge in structured form for potential use by an AI
system in learning human-desirable concepts. In clinical settings, for instance, prediction of …
system in learning human-desirable concepts. In clinical settings, for instance, prediction of …