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Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression.

, , , , , , , , , , and . CASE, page 532-539. IEEE, (2014)

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A Case Study in Mobile-Optimized vs. Responsive Web Application Design., , , , , and . MobileHCI Adjunct, page 576-581. ACM, (2015)Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure., , , , , and . CoRR, (2017)A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets., , and . Proc. VLDB Endow., 10 (10): 1094-1105 (2017)Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios., , , , and . CoRR, (2020)A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets., , and . CoRR, (2016)ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis., , , , , , and . CoRR, (2024)Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow., , , , , , , , , and . CoRR, (2023)DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning., , , , , and . CoRR, (2023)Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations., , , , , , , and . ICRA, page 358-365. IEEE, (2017)Understanding and optimizing packed neural network training for hyper-parameter tuning., , , and . DEEM@SIGMOD, page 3:1-3:11. ACM, (2021)