IEEE

A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...
IEEE

A High Accuracy and Real-Time sEMG-Based Hand Gesture Classifier Using LDA-Based Template Matching With Adaptive Majority Vote and Online Data Augmentation

Abstract: Surface electromyography (sEMG)-based gesture classification is promising in many emerging applications such as prosthetic control and augmented reality (AR)/virtual reality (VR). While many ...
GitHub

Add calibration data format to track spectroscopy filter offsets

Is your feature request related to a problem? Please describe. Similar to DetectorParams and FpamFsam, we want a file to track the x/y offsets introduced by different filters for spectroscopy. This ...
Morningstar

Hyperscale Data Sees a Potential Increase to Revenue on Growing Momentum in High-Margin Software Platform

LAS VEGAS, Sept. 8, 2025 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), a diversified holding company ("Hyperscale Data" or the "Company"), today announced that it sees a potential ...