Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Federated Learning With Automated Dual-Level Hyperparameter Tuning

Abstract: Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data ...
Scientific Research Publishing

Yang, L. and Shami, A. (2020) On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice. Neurocomputing, 415, 295-316.

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...
IEEE

pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning

Abstract: Hyperparameter optimization (HPO) is crucial for federated learning (FL) performance. Given the inherent data heterogeneity across clients, recent research has focused on providing ...
Scientific Research Publishing

Kiran, M. and Ozyildirim, M. (2022) Hyperparameter Tuning for Deep Reinforcement Learning Applications. arXiv: 2201.11182.

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
The New York Times

How A.I. Can Revive a Love of Learning

Modern technology offers new possibilities for transforming teaching. By Anant Agarwal Anant Agarwal is an education innovator. This personal reflection is part of a series called Turning Points, in ...