Exploring Reinforcement Learning for Constrained Wing Shape Optimization

Human Interaction in Tabular Data Augmentation in Data Science Workflows

Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data

Data Driven Approximations Of PDEs: On Robustness of Reduced Order Mappings between Function Spaces Against Noise

Reasoning about MDPs Abstractly: Bayesian Policy Search with Uncertain Prior Knowledge

Long-Term Memory Retention of Educational Content: How Machine Learning concepts can be remembered for the rest of our careers with the right practice questions

Indoor Localization for Efficient Bike-Sharing Management

Predicting Propeller Behaviour Using Machine Learning

Monitoring Flexural Fatigue Life of Asphalt Concrete by Piezoelectric Sensors: Strategy for fatigue life prediction and damage detection based on load history on any asphalt matrix

Exploring Intronic RNA-Seq Read Counts for Machine Learning Phenotype Prediction

Machine learning for real-time prediction of intradialytic hypotension

Predicting antibiotic resistance in patients with postoperative infections using machine learning based models

Indoor in-network asset localization using Crownstone network

WaveTune: Millimeter Wave Radar based Hand Gesture Recognition for Musical Applications

Identification of Bacteria with Artificial Intelligence

Static Analysis Complements Machine Learning: A Type Inference Use Case

Permeability Prediction: A study of machine learning models application for permeability prediction using petrophysical well logs

Multi Target XGBoost Cash Flow Prediction: An Efficient Machine Learning Algorithm For Future Liability Projections

Electroencephalography Monitoring in the Critically Ill: Towards a More Efficient and Effective Monitoring Strategy

A TinyML system for gesture detection using 3D pre-processed data