Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data

Reinforcement learning for control: Performance, stability, and deep approximators

Experience selection in deep reinforcement learning for control

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

Automated malaria diagnosis using convolutional neural networks in an on-field setting: The analysis of low quality smartphone based microscope images

Deep Learning Architectures for PM2.5 and Visibility Predictions

Hands can: Determining the location and range of motion of digital joints in 3D scans

Detecting Perivascular Spaces: a Geodesic Deep Learning Approach

Convolutional Neural Network Architectures for Signals Supported on Graphs

Learning about risk: Machine learning for risk assessment

Deep learning predicts path-dependent plasticity

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

CNN architectures for GRAPH data

Efficient real-time camera based estimation of heart rate and its variability

Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

Automated land use classification: Supervised segmentation of road structures on aerial images using shape regression

Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map

Human Activity Recognition using Channel State Information

Efficient Neural Architecture Search for Language Modeling