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

Uncovering taste heterogeneity and non-linearity for urban mode choice using SHAP

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

Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting

Exploring automatic translation between affect representation schemes of music affective content

Visualizing Complexity: Kernel Density Estimation in University Education: Investigating Misconceptions, Challenges, and the Role of Prior Knowledge in Comprehending KDE

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

Evaluating Data Distribution Based Concept Drift Detectors

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