Classification of large scale outdoor point clouds using convolutional neural networks

Generation of multivariate time series using neural networks

Sensing share space using Stereo Vision

Functional Characterization of Human iPSC-Derived Neural Networks using MEA Systems for in vitro Modeling of Psychiatric Disorders

Solving Partial Differential Equations with Neural Networks

Optimizing supply temperatures in district heating grids

Evaluating and Improving Large-Scale Machine Learning Frameworks

Generating Asset Paths for Financial SDEs with GANs

Online Black-box Shape Optimization for a Seamless Active Morphing Wing

Representing Symbolic Controllers with Deep Neural Networks

Classifying Human Control Behaviour by Artificial Intelligence

Automatic keypoint detecting of wireframe gates

Deep Learning for Aerodynamic Dataset Prediction of Combat Aircraft

Economic Greenhouse Decision Support: Embedding a Long Short-Term Memory Network in a Constraint Programming Decision Support System

Investigations Towards Developing Automated Energy Diagnostics and Prediction Models, Based on BMS Sensor Data Analysis

Deep Learning applied to cooperative motion planning in environments shared with humans

Data-driven multivariate wind turbine performance modeling: Refining wind turbine performance estimations for atmospheric conditions by using machine learning

Compression of the embedding layer in an LSTM model using tensor train decomposition for NLP

Automated Building Damage Classification using Remotely Sensed Data: Case study: Hurricane Damage on St. Maarten

Continuous state and action Q-learning framework applied to quadrotor UAV control