Vetology AI Becomes First and Only Veterinary Imaging AI Company to Publicly Release Comprehensive Classifier Performance Metrics

SAN DIEGO, Jan. 19, 2026 /PRNewswire/ -- Vetology Innovations today announced the public release of complete performance metrics for all 89+ classifiers across its diagnostic platform, making it the ...
IEEE

Multi-Gaussian Prototype Metric With Dual Optimization for Cross-Domain Few-Shot Hyperspectral Image Classification

Abstract: Metric-based few-shot learning (FSL) methods have shown great potential in cross-domain hyperspectral image (HSI) classification. However, existing approaches face three key challenges: ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

AllMetrics: A Unified Python Library for Standardized Metric Evaluation in Machine Learning

Abstract: Machine learning (ML) models rely heavily on consistent and accurate performance metrics to evaluate and compare their effectiveness. However, existing libraries often suffer from ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
GitHub

Fix compatibility with pydantic 2.12

Thanks for stopping by to let us know something could be better! PLEASE READ: If you have a support contract with Google, please create an issue in the support console instead of filing on GitHub.
Frontiers

Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data

1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...
Frontiers

Machine learning pipeline for microparticle size classification in self-mixing interferometric signals for flow cytometry

Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...
Scientific Research Publishing

Obi, J.C. (2023) A Comparative Study of Several Classification Metrics and Their Performances on Data. World Journal of Advanced Engineering Technology and Sciences, 8, 308-314.

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...