IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
IEEE

Robust Sensor-Based Activity Recognition via Physics-Aware Disentangled Representation Learning and Feature-wise Linear Modulation Conditioning

Abstract: Sensor-based Human Activity Recognition (HAR) often breaks down in real-world deployments because models entangle intrinsic activity patterns with extrinsic nuisance factors such as sensor ...