A deep learning approach to Cadastral Computing

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A deep learning approach to Cadastral Computing

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Predicting the long-term collective behaviour of fish pairs with deep learning

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Incorporating Projective Geometry into Deep Learning

Understanding generalization and robustness in modern deep learning

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Glenohumeral joint force prediction with deep learning

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

Meta-learning to address diverse Earth observation problems across resolutions

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Safe Deep Neural Networks