Deep vs Shallow Reinforcement Learning for low dimensional continuous control tasks

Solving Partial Differential Equations with Neural Networks

Thermosphere Modelling using Machine Learning: Artificial Neural Networks to forecast thermospheric densities and generalise beyond the properties of an acceleration data set using the Swarm satellites as study case

Sequential Monte Carlo method for training Neural Networks on non-stationary time series

Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework

FlexHH: A flexible hardware library for Hodgkin-Huxley-based neural simulations

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

Representing Symbolic Controllers with Deep Neural Networks

Embedded Neural Networks for Continuous Patient Posture Classification

Generation of multivariate time series using neural networks

A Framework for 'Smart' Computational Micromechanics

Solving Train Maintenance Scheduling Problem with Neural Networks and Tree Search

Machine Learning Modeling and Parametric Assessment of Rectangular Dielectric Resonant Antenna

A Machine Learning Approach for Conceptual Cost Estimation

A Study on the Potential of a Neural Network Based Model in Predicting Hydrodynamic Behavior of a Semi-Submersible Crane Vessel

Recognizing and Handling Negations in Machine Learning

Soil Constitutive Modelling Using Neural Networks

Mortgage Prepayment Rate Estimation with Machine Learning

Nerve fiber tracing in bright-field images of human skin using deep learning

Statistical analysis to depict the influence of news headlines on stock volatility