- Computer Science Student Defense
Recurrent Neural Networks for Representing, Segmenting, and Classifying Surgical Activities
December 19, 2019 - Rob DiPietro, Johns Hopkins University - Computer Science Student Defense
Translating Machine Learning into Clinical Practice: Lessons from Development to Deployment
December 6, 2019 - Katie Henry, Johns Hopkins University - Computer Science Student Defense
Towards modular ultrasound system for medical intervention and image guided therapy: Ultrasound temperature monitoring
November 21, 2019 - Younsu Kim, Johns Hopkins University - Computer Science Student Defense
Probably Approximately Correct Robust Policy Search with Applications to Mobile Robotics
November 20, 2019 - Matt Sheckells, Johns Hopkins University - Gerald M. Masson Distinguished Lecture Series
Designing Today's Product-Service Ecologies
November 7, 2019 - Jodi Forlizzi, Carnegie Mellon University - CS Seminar
Why Deep Learning Works: Traditional and Heavy-Tailed Implicit Self-Regularization in Deep Neural Networks
November 5, 2019 - Michael Mahoney, ICSI and Department of Statistics, University of California at Berkeley - CS Seminar
How Artificial Intelligence and Robotic is Transforming Minimally Invasive Surgery
October 31, 2019 - Benoit Gallix, McGill University - Association for Computing Machinery Lecture Series in Memory of Nathan Krasnopoler
100 Miles of Hill
October 22, 2019 - Sandi Metz - Computer Science Student Defense
Supervised Training on Synthetic Languages: A Novel Framework for Unsupervised Parsing
October 16, 2019 - Dingquan Wang, Johns Hopkins University - Gerald M. Masson Distinguished Lecture Series
The Unreasonable Effectiveness of Structure
October 10, 2019 - Lise Getoor, University of California, Santa Cruz - Gerald M. Masson Distinguished Lecture Series
Building the Smartest and Open Virtual Assistant to Protect Privacy
October 8, 2019 - Monica Lam, Stanford University - Computer Science Student Defense
Probabilistic Models for Exploring, Predicting, and Influencing Health Trajectory Data
October 2, 2019 - Peter Schulam, Johns Hopkins University