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Estimating the physics of an automobile collision from images
Forecasting COVID-19 case counts using deep learning
Terpene classification using mass spectra data and machine learning
Sequential consolidation using multiple task learning, sweep rehearsal and CVAE generated pseudo examples
Real-time REM sleep classification
Facial expression classification and morphing with machine learning
A comparison of CNN and DBN image classification models under adversarial conditions
Estimating grape yield on the vine from multiple images
An analysis of context-sensitive neural networks
Classification via reconstruction using a multi-channel deep learning architecture
Multi-modal learning using an unsupervised Deep Learning Architecture
Context-sensitive multiple task learning with consolidated domain knowledge
Knowledge consolidation using multiple task learning
Transfer learning of image classification with deep learning architectures
Classifying motion using radio waves and machine learning
Estimage
Inductive transfer applied to the prediction of ground water levels
Selective knowledge transfer from K-nearest neighbour tasks
Sequential consolidation of learned task knowledge
Knowledge transfer using context-sensitive multiple task learning