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

Learning to Control Multi- Dimensional Autonomous Agents using Hebbian Learning: A Global Reward Approach

An Integrated Machine Learning and Finite Element Analysis Framework, Applied to Composite Substructures including Damage

Extraction and combination of multidimensional point-of-interest features for the classification of urban place types

Heat transfer assessment of an ice induced engine inlet using Machine Learning

Rotation invariant filters in CNNs: applied to segmentation of aerial images for land-use classification

DeepSleep: A sensor-agnostic approach towards modelling a sleep classification system