IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
KCCI Des Moines

KCCI Investigates: Polk County's harm-reduction vending machine's top item in first six months — Plan B

YEAR. YEAH, WE DO LOVE OUR PASTA. WELL, HARM REDUCTION VENDING MACHINES IN POLK COUNTY ARE BEING USED MORE. KCCI INVESTIGATES HAS BEEN FOLLOWING THE NEED THESE MACHINES ARE ADDRESSING SINCE THEY WERE ...
BioSpace

Altimmune Presents AI-Based Analysis of Liver Fibrosis Reduction from IMPACT Phase 2b Trial of Pemvidutide in MASH in Late-breaking Poster at AASLD The Liver Meeting® 2025

GAITHERSBURG, Md., Nov. 07, 2025 (GLOBE NEWSWIRE) -- Altimmune, Inc. (Nasdaq: ALT), a late clinical-stage biopharmaceutical company developing novel peptide-based therapeutics for liver and ...
Frontiers

Estimating rice yield-related traits using machine learning models integrating hyperspectral and texture features

1 Rice Research Institute, Guangdong Academy of Agricultural Sciences/Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
Scientific Research Publishing

Van Der Maaten, L., Postma, E. and Van den Herik, J. (2009) Dimensionality Reduction: A Comparative Review. Journal of Machine Learning Research, 10, 66-71.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
C&EN

EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...