A novel machine learning model to design historical-independent health indicators for composite structures

DALLMi: Domain Adaption for LLM-based Multi-label Classifier

Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data

Advanced Health Monitoring of Composite Structures Through Deep Learning-Based Analysis of Lamb Wave Data for Developing Health Indicators

Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System

Evaluating the Effect of Data Drift on Model Performance

Deep Statistical Solver for Distribution System State Estimation

Using cross-model learnings for the Gram Vaani ASR Challenge 2022

Semi-Supervised Learning In Side-Channel Attacks

A semi-supervised autoencoder framework for joint generation and classification of breathing

Semi-Supervised Lane Detection With Deep Hough Transform

Partial discharges and noise classification under HVDC using unsupervised and semi-supervised learning

Web-Based Economic Activity Classification: Comparing semi-supervised text classification methods to deal with noisy labels

Assumptions & Expectations in Semi-Supervised Machine Learning

Active Semi-Supervised Learning for Diffusions on Graphs

A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization

Active Semi-Supervised Learning For Diffusions on Graphs

Towards deeper understanding of semi-supervised learning with variational autoencoders

Safe Semi-Supervised Learning

Model-based rare category detection for temporal data