15 citations · 44 across the 7 of their papers we have counts for
7 papers
Efficient Self-Ensemble for Semantic Segmentation
Walid Bousselham, Guillaume Thibault, Lucas Pagano +4
Ensemble of predictions is known to perform better than individual predictions taken separately. However, for tasks that require heavy computational resources, e.g. semantic segmen…
MITI Minimum Information guidelines for highly multiplexed tissue images
Denis Schapiro, Clarence Yapp, Artem Sokolov +36
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need…
Secure State Estimation and Control for Cyber Security of AC Microgrids
Dariush Fooladivanda, Qie Hu, Young Hwan Chang +1
A timely, accurate, and secure dynamic state estimation is needed for reliable monitoring and efficient control of microgrids. The synchrophasor technology enables us to obtain syn…
Secure Estimation for Unmanned Aerial Vehicles against Adversarial Cyber Attacks
Qie Hu, Young Hwan Chang, Claire J. Tomlin
In the coming years, usage of Unmanned Aerial Vehicles (UAVs) is expected to grow tremendously. Maintaining security of UAVs under cyber attacks is an important yet challenging tas…
Secure State Estimation for Nonlinear Power Systems under Cyber Attacks
Qie Hu, Dariush Fooladivanda, Young Hwan Chang +1
This paper focuses on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements. In particular, we consider two broad classes of nonlinear…
Secure Estimation based Kalman Filter for Cyber-Physical Systems against Adversarial Attacks
Young Hwan Chang, Qie Hu, Claire J. Tomlin
Cyber-physical systems are found in many applications such as power networks, manufacturing processes, and air and ground transportation systems. Maintaining security of these syst…
Compressed Sensing for Network Reconstruction
David Hayden, Young Hwan Chang, Jorge Goncalves +1
The problem of identifying sparse solutions for the link structure and dynamics of an unknown linear, time-invariant network is posed as finding sparse solutions x to Ax=b. If the…