Design of a Super-Compressible Metamaterial: An Experimental Investigation Guided by Machine Learning

Quantifying the effect of woody vegetation on the wave loads on a dike using remote sensing: Large scale physical model tests

Obstacle avoidance for quadrotors using reinforcement learning and obstacle-airflow interactions

DataDonor: Crowdsourcing health care through digitalization

Towards Self-Learning Model-Based Evolutionary Algorithms

Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge

Deep Reinforcement Learning with Feedback-based Exploration

Reinforcement Learning for Flight Control: Learning to Fly the PH-LAB

Policy Learning with Human Teachers: Using directive feedback in a Gaussian framework

Data - driven design of a metamaterial unit cell using sparse Gaussian processes

Assessing the forecast skill of agricultural drought forecast from satellite-derived products in the Lower Shire River Basin

Machine learning or Statistical discrete response modelling?: Webshop conversion rate maximization at Fatboy.com

Acoustic recognition of motorized vehicles with a moving listener

The impact of image filters on machine classification and human perception of weather conditions

Link Prediction using Temporal Information in Multilayer Networks

Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving

An Optimisation and Forecasting Framework for ULD Packing in the Air Cargo Supply Chain

Machine Learning Revealing Insights into Soil Stratification: An Application for Dikes and Dams

Classifying Candida species using Mixed Integer Optimization based optimal classification trees

Detecting Rumors in Twitter for Humanitarian Activities