Development of a novel Machine Learning-based dose engine for radiotherapy Quality Assurance

Recursive Convolutional Blocks: Analysis and Insights for Future Neural Network Development

Advancing Deep Learning Methods for Long-Tailed Image Recognition

Interpretable Ensemble Approaches for Breast Cancer Survival Prediction: Leveraging Self-Organizing Maps in Explainable AI

Machine Learning Approaches To Physical Activity Prediction in Young Children using Accelerometer Data

A Robust ANN Ensemble Framework for Intrusion Detection Systems

Overcoming barriers when introducing perceived disruptive innovations into rigid efficient systems

Performance Tuning of Object-Relational Applications

Pattern Discovery for Event Detection in Health Insurance Data

Impact Sensitive Ranking of Structured Documents

Building a Prototype for Quality Information Retrieval from the World Wide Web

Towards Scalable Deep Learning Dose Calculation for External X-Ray Radiotherapy