Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
IEEE

DT-GA-FLANN: Decision Tree-Based Genetically Optimized FLANN for Missing Value Imputation and Classification

Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
Rochester Institute of Technology

Researchers develop new method for predicting chaos

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
IEEE

SSVEPPoolformer: An Improved Poolformer Model With the Adaptive Denoising Algorithm for SSVEP-EEG Signal Classification

Abstract: Most EEG classification algorithms based on steady-state visual evoked potentials (SSVEP-EEG) require filtering for denoising. However, manually set thresholds may inadvertently remove ...
GitHub

Distributed Rate Limiter

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.