Deep Learning with Yacine on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like ...
Analytics Insight

10 Best Python Libraries for Computer Vision in 2025

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...
The Johns Hopkins News-Letter

Sohini Ramachandran discusses population genetics and computational clustering algorithms

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Hackaday

Making Math Less Stressful With A Python Super-Calculator

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
IEEE

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
C&EN

Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation

Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...
IEEE

Research on Medical Image Classification Based on Improved FedAvg Algorithm

Abstract: Federated learning (FL) technology has significant advantages in solving data silos and user privacy problems, but the traditional federal average (FedAvg) algorithm is ineffective in ...