By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Tzu-Ming Harry Hsu Abstract: Data for modern medical imaging modeling is constrained by their high physical density, complex structure, insufficient annotation, heterogeneity across sites, long-tailed distribution, and sparsely…
Jie Xu Abstract: Designing a performing robotic system for given tasks is traditionally labor-intensive for finding the optimal configurations of its hardware shape and/or software controller. The underlying…
Guo Zhang Abstract: Current health care is primarily in-clinic, episodic, and semi-empirical. With the development of intelligent devices such as smartphones, smartwatches, and more cutting-edge devices such as…
Ferran Alet Abstract: Many of the achievements in machine learning have followed different variations on a single recipe: we pick a supervised training dataset and assume there exists…
Teddy Ort Abstract:Most fielded autonomous driving systems currently rely on High Definition (HD) prior maps both to localize, and to retrieve detailed geometric and semantic information about the…
Jessica Van Brummelen Abstract: Interacting with technology through conversation has rapidly become prominent, and raises unique questions, including, “How do such human-like, relational interactions affect people’s trust of…
Julius Adebayo AbstractThis thesis addresses the challenge of detecting and fixing the errors of a machine learning (ML) model–model debugging. Current ML models, especially overparametrized deep neural networks…