TrialTranslator uses machine learning to assess cancer RCT generalizability, revealing survival gaps for high-risk patients ...
Hosted on MSN19d
A comprehensive survey of federated transfer learning: Challenges, methods and applicationsFederated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables ...
The integration of machine learning and logical reasoning has long been considered a holy grail problem in artificial ...
Her research interests include reliable and trustworthy AI, novel machine learning paradigms, and smart cyber-physical-human systems. She received several grants and awards in support of her scholarly ...
In today’s technological era, Namboodiri Arun Mullamangalath Kesavan, an innovator in network architecture, has developed ...
This unit gives an in-depth overview of Machine Learning, exploring both unity and diversity among different ML paradigms and why this diversity is needed and how it can be exploited. The paradigms ...
Artificial Intelligence (AI) has made significant strides in reshaping the educational landscape. Sandeep Kumar Nangunori, a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback