Aloysius Lim

Jul 16, 2024 | arxiv.org | Aloysius Lim |Ankur Teredesai

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Apr 23, 2024 | genre.com | Aloysius Lim

Labelled Data – Supervised Learning A supervised learning model uses the labels of data in training. With labelled claims data, we can train a supervised machine learning model to learn the characteristics of a fraudulent claim. The model will then be able to pick up fraudulent claims with similar characteristics. One example of a supervised model is a neural network.

Jan 19, 2024 | arxiv.org | Aloysius Lim |Nicholas M. Mark |Ankur Teredesai |Cheryl Nott

[Submitted on 19 Jan 2024 ( v1 ), last revised 9 Feb 2024 (this version, v2)] Title:Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes Download a PDF of the paper titled Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes, by Jodi Chiam and 5 other authors Download PDF HTML (experimental) Abstract:The ability to shape health behaviors of large populations automatically, across wearable types and disease conditions at scale has...