AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Decoded rules of microRNA strand selection reveal conserved, programmable features

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...
GitHub

feature-selection

Predicting chess game outcomes using logistic regression and Elastic Net on 117k+ Lichess games. Includes full data processing, modeling pipeline, and interpretation of key predictors. Microsoft ...
The New York Times

For 1st Time, Fires Are Biggest Threat to Forests’ Climate-Fighting Superpower

Forests play a major role pulling planet-warming carbon dioxide out of the atmosphere. As the world heats up, some forests are becoming emitters in their own right. By Sachi Kitajima Mulkey and Harry ...
Frontiers

A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest

Background: Neovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction ...
Scientific Research Publishing

Wang, H., Li, D., Li, D., Liu, C., Yang, X. and Zhu, G. (2023) Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi ...

ABSTRACT: Similarity-based prediction modeling is a common method for estimating the remaining useful life (RUL) of a machine. The present study proposes a novel similarity-based multidimensional ...
Frontiers

Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

The Programme for International Student Assessment (PISA) introduced the measurement of problem-solving skills in the 2012 cycle. The items in this new domain employ scenario-based environments in ...
IEEE

Random forest-based feature selection for emotion recognition

Abstract: The purpose of this paper is to develop a wrapper Random Forest-based feature selection method and to study the performance on emotion recognition of different selected feature sets. A large ...