GitHub

Probmetrics: Classification metrics and post-hoc calibration

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
IEEE

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization

Abstract: This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation in medical ...
Hacker

Automatic Feature Selection in Python: An Essential Guide

Feature Selection in python is the process where you automatically or manually select the features in the dataset that contribute most to your prediction variable or output in which you are interested ...
IEEE

FPGA-Based Real-Time Multi-Class Vehicle Classification Using mmWave Radar

Abstract: The present study introduces FPGA(Field-Programmable Gate Array)-based Real-Time Multi-Class Vehicle Classification using Millimeter wave Radar (mmWave radar), which overcomes the ...
Hosted on MSN

Neural Network python from scratch ¦ MultiClass Classification with Softmax

Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you covered.
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...