Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables. This leaves a critical gap in anticipating fiscal stress events. Machine ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Over fifty percent of the population in Tanzania suffers from multidimensional poverty. Because of the high poverty rate and slow improvement, ending poverty by the year 2030 remains challenging and ...

In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood ...

Introduction Major depressive disorder (MDD) is a major global healthcare challenge. This is, in part, due to the lack of treatment response and chronic course of MDD. Such a course of illness is ...

Orphanidou, C. and Wong, D. (2017) Machine Learning Models for Multidimensional Clinical Data. In Khan, S., Zomaya, A. and Abbas, A. Eds., Scalable Computing and ...

Also, to evaluate the classification accuracy and to find a stable and suitable classifier, nine state-of-the-art classifiers that have been successful for classification tasks in high-dimensional ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

TEL AVIV, Israel, May 10, 2021 — Octopai, a leader in metadata management automation, announced today that they are introducing Data Lineage XD, taking data lineage to the next level by providing the ...