| A review of cognitive models in human reliability analysis X Pan, Y Lin, C He Quality and reliability engineering international 33 (7), 1299-1316, 2017 | 71 | 2017 |
| Simultaneous localization and parameter estimation for single particle tracking via sigma points based EM Y Lin, SB Andersson 2019 IEEE 58th Conference on Decision and Control (CDC), 6467-6472, 2019 | 15 | 2019 |
| Estimation of general time-varying single particle tracking linear models using local likelihood BI Godoy, NA Vickers, Y Lin, SB Andersson 2020 European Control Conference (ECC), 527-533, 2020 | 6 | 2020 |
| HEP quantification strategy based on modified CREAM P Xing, W Huixiong, L Ye, L Tun, W Xiaoxia Journal of Systems Engineering and Electronics 30 (4), 815-822, 2019 | 6 | 2019 |
| Human reliability analysis in carrier-based aircraft recovery procedure based on CREAM Y Lin, X Pan, C He 2015 First International Conference on Reliability Systems Engineering …, 2015 | 6 | 2015 |
| Three-dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditions Y Lin, F Sharifi, SB Andersson Biomedical optics express 12 (9), 5793-5811, 2021 | 5 | 2021 |
| A 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood BI Godoy, Y Lin, JC Agüero, SB Andersson 2019 12th Asian Control Conference (ASCC), 1078-1083, 2019 | 4 | 2019 |
| A time-varying approach to single particle tracking with a nonlinear observation model BI Godoy, Y Lin, SB Andersson 2020 American Control Conference (ACC), 5151-5156, 2020 | 3 | 2020 |
| Computationally efficient application of sequential monte carlo expectation maximization to confined single particle tracking Y Lin, SB Andersson 2021 European Control Conference (ECC), 1919-1924, 2021 | 2 | 2021 |
| Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented images Y Lin, SB Andersson Plos one 16 (5), e0243115, 2021 | 2 | 2021 |
| EM-based algorithms for single particle tracking of ornstein-uhlenbeck motion from scmos camera data Y Lin, SB Andersson 2021 American Control Conference (ACC), 3945-3950, 2021 | 1 | 2021 |
| Investigation of Single Particle Tracking Performance by Different Particle Filter and Smoother Algorithms Y Lin, SB Andersson Biophysical Journal 116 (3), 139a, 2019 | 1 | 2019 |
| Automatic particle detection, localization, and physical parameter estimation via combined expectation maximization and deep learning SB Andersson, Y Lin Biophysical Journal 121 (3), 535a, 2022 | | 2022 |
| Particle detection, extraction, and state estimation in single particle tracking microscopy Y Lin Boston University, 2022 | | 2022 |
| Joint Estimation of Trajectory and Motion Model Parameters in Three-Dimensional Single Particle Tracking using the Double-Helix Point Spread Function Y Lin, F Sharifi, SB Andersson Biophysical Journal 120 (3), 188a, 2021 | | 2021 |
| Joint Estimation of Trajectory and Model Parameters for Single Particle Tracking of 3D Confined Diffusion Using the Double-Helix Point Spread Function Y Lin, F Sharifi, SB Andersson IFAC-PapersOnLine 54 (7), 511-516, 2021 | | 2021 |
| Quantitative Comparison of Single Particle Tracking Algorithms Across Different Signal and Noise Levels Y Lin, SB Andersson Biophysical Journal 118 (3), 616a, 2020 | | 2020 |
| Experimental design and assessment for pilot’s behavior based on human reliability analysis X Pan, H Wang, Z Wu, J Jiang, Y Lin, C J., J Chen CN Patent CN107,203,835 A, 2017 | | 2017 |
| EC 503 Project Summary Q Liu, Y Lin, Q Ma | | |
Sean B. AnderssonProfessor of Mechanical Engineering and Systems Engineering, Boston University在 bu.edu 的电子邮件经过验证
