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A comparison of CNN and DBN image classification models under adversarial conditions
An analysis of context-sensitive neural networks
Classification via reconstruction using a multi-channel deep learning architecture
Classifying motion using radio waves and machine learning
Context-sensitive multiple task learning with consolidated domain knowledge
Estimage
Estimating apple yield using video images and deep learning
Estimating grape yield on the vine from multiple images
Estimating the physics of an automobile collision from images
Explainable artificial intelligence for image classification via feature prediction and localization
Facial expression classification and morphing with machine learning
Forecasting COVID-19 case counts using deep learning
Generating accurate virtual examples for lifelong machine learning
Generation of synthetic speech from a neural network output
Image to grape yield estimation in the vineyard using deep learning
Inductive transfer applied to the prediction of ground water levels
Knowledge consolidation using multiple task learning
Knowledge transfer using context-sensitive multiple task learning
Learning with symbols
Multi-modal learning using an unsupervised Deep Learning Architecture