2 citations · 5 across the 4 of their papers we have counts for
5 papers
Segmented Pairwise Distance for Time Series with Large Discontinuities
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2
Time series with large discontinuities are common in many scenarios. However, existing distance-based algorithms (e.g., DTW and its derivative algorithms) may perform poorly in mea…
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2
Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding. However, most research and applications of semantic se…
Dimensionality-Driven Learning with Noisy Labels
Xingjun Ma, Yisen Wang, Michael E. Houle +5
Datasets with significant proportions of noisy (incorrect) class labels present challenges for training accurate Deep Neural Networks (DNNs). We propose a new perspective for under…
Providing Effective Real-time Feedback in Simulation-based Surgical Training
Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou +3
Virtual reality simulation is becoming popular as a training platform in surgical education. However, one important aspect of simulation-based surgical training that has not receiv…
Feedback Techniques in Computer-Based Simulation Training: A Survey
Sudanthi Wijewickrema, Xingjun Ma, James Bailey +2
Computer-based simulation training (CBST) is gaining popularity in a vast range of applications such as surgery, rehabilitation therapy, military applications, and driver/pilot tra…