most citedFeedback Techniques in Computer-Based Simulation Training: A Survey

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2020

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…

eess.IV2020★ 1 cited

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…

cs.AI2017★ 2 cited

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…

cs.HC2017★ 2 cited

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…

cs.LG2017★ 1 cited

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou +4

Simulation-based training (SBT) is gaining popularity as a low-cost and convenient training technique in a vast range of applications. However, for a SBT platform to be fully utili…