Exploring Gravitational Waves Recordings with Machine Learning Techniques

A Human-Machine Approach to Preserve Privacy in Image Analysis Crowdsourcing Tasks

Towards Understanding of Deep Learning in Profiled Side-Channel Analysis: Similarity of predictors measured and explained

Identifying Anomalous Transitions in SIP Traffic: Using PDFA State Merging

One-Class Classification: for high-dimensional data

Human Activity Recognition using a Deep Learning Algorithm for Patient Monitoring

Planetary-scale classification of natural and human-induced sandy shoreline evolution: A semi-automated method that employs Machine Learning and Satellite Derived Shorelines over the past decades

Focal plane phase retrieval using deep convolutional neural networks: A study on the feasibility of phase retrieval in free space optical communications from a single out of focus intensity measurement using a deep convolutional neural network

Digitalization of Retailing with Machine Learning: A Service-Product Design for Digital Merchandisers to Implement Machine Learning

Operationalizing Urban Resilience: A Machine Learning Approach

Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques

Evaluating and Improving Large-Scale Machine Learning Frameworks

A Generative Neural Network Model for Speech Enhancement

Improving Industrial Solar Cell Fabrication using Neural Networks and Genetic Algorithms

Vibration-based Monitoring of the Zwartewaterbrug: a Machine Learning Approach

Bayesian Additive Regression Trees for data-driven RANS turbulence modelling

Interpreting Information of Deep Neural Networks for Profiled Side Channel Analysis

Harmonic Surface Networks

Multimodal information extraction from videos: Automatic creation of highlight clips from political speeches

Predictive Modelling of Asphalt Concrete Functional Properties Using Multiple Linear Regression and Gradient Boosting