The Scientist

Postdoc Portrait: Anupam Ojha Investigates Protein Dynamics

Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...
EurekAlert!

PhytoCell: An ensemble learning framework for identifying cell states in plant scRNA-seq data

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual plant cells at unprecedented resolution, opening new opportunities to ...
IEEE

A Stacking Ensemble Machine Learning Model for Emergency Call Forecasting

Abstract: One of the greatest challenges of Emergency medical services providers is to handle the large number of Emergency Medical Service (EMS) calls coming from the population. An accurate forecast ...
Frontiers

Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee

Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection ...
IEEE

A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming

Abstract: The COVID-19 pandemic exposed the importance of research on the spread of epidemic diseases. In the case of COVID-19, official data about infection prevalence was based on PCR and antigen ...
Frontiers

Improved stacking ensemble learning based on feature selection to accurately predict warfarin dose

With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear and ...