Minimize experimentation overhead through dataset selection, ensemble feature attention, and feature selection with reduced subset sizes

Enhancing Semiconductor Technology Development by Co-Development and Supply Chain Integration

Inferring the residential building type from 3DBAG

A Machine Learning Approach to Reduce Uncertainty in Ex-ante LCA

Aircraft Tail-Specific Performance Modeling for Fuel Efficient Flight Operations in the Cruise Phase

Sparse & Interpretable Graph Attention Networks

Deep Learning for Geotechnical Engineering: The Effectiveness of Generative Adversarial Networks in Subsoil Schematization

Predicting HPV status in oropharyngeal carcinoma using multiparametric MRI and clinical variables

Advanced constitutive model parameter determination, optimisation and selection using a database of triaxial tests and machine learning tools

Quantum to Transport: Modeling Transport Properties of Aqueous Potassium Hydroxide by Machine Learning Molecular Force Fields from Quantum Mechanics

Impact of replacing TCP by QUIC in Tor on website fingerprinting resistance

Self-calibrated plant counting in early crop stand scenarios using deep clustering: Jonacount: make every plant count

Catching the trigger?: Including automated event data in interstate conflict prediction

Automated sleep monitoring based on vital signs in critically ill children

Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-based Proxy Modeling

Cost Estimation for Factorized Machine Learning in Data Integration Scenarios

Dimension reduction techniques for multi-dimensional numerical integrations based on Fourier-cosine series expansion

Value-Sensitive Rejection of Machine Learning Predictions for Hate Speech Detection

Classification of Birds and Drones Exploiting Kinematic Properties for Surveillance Radars Using Machine Learning Techniques

Monitoring symptom progression in Parkinson’s Disease using Least Squares Support Vector Regression