Modeling C-band radar observables over sugarbeet fields using machine learning

Machine learning study on performance prediction of asphalt mixtures under Dutch conditions

Optimizing machine learning inference queries for multiple objectives

Semi auto-taggers for music: Combining audio content and human annotations for tag prediction

Machine Learning Based local Reduced Order Modeling for the prediction of Unsteady Aerodynamic Loads

Predict+optimize for combinatorial optimization with uncertainty in the constraints

Realtime Data-driven Learning and Model Predictive Control using Gaussian Processes for Dynamical Systems

Machine learning-based assessment tool for predicting daylight and visual comfort

Machine learning for cardiovascular modelling: Predicting time-dependent, aortic blood flow

Attention-based deep learning for DNA repair outcome prediction: Learning how the cell repairs DNA breaks using local sequence context

Relevance Detection of Unknown Classes through Cluster Distances: Based on Statistical Distance Measures in Feature Space

An iterative deep reinforcement learning approach to solve vehicle routing problems

The influence of vascular pathology on machine learning methods for Alzheimer's disease

Energy Efficiency Valuation: Estimating the increase in expected transaction price due to improved energy efficiency in the Dutch housing market

Data-driven inverse design of growth-based Voronoi meta-materials

Predicting cycling risk at intersections with natural cycling data for speed-controlled e-bikes

Interpretation of the Machine Learning Fault Classification Model Results Using Explainable Features

Energy Study of Drying: Using Machine Learning to Predict the Energy Consumption of an Industrial Powder Drying Process

Guided Metamorphic Transformations for Testing the Robustness of Trained Code2Vec Models

Loss functions and neural networks: Comparing different loss functions for NLP neural networks