| Modeling genome‐wide replication kinetics reveals a mechanism for regulation of replication timing SCH Yang, N Rhind, J Bechhoefer Molecular systems biology 6 (1), 404, 2010 | 154 | 2010 |
| Theoretical perspectives on active sensing SCH Yang, DM Wolpert, M Lengyel Current opinion in behavioral sciences 11, 100-108, 2016 | 129 | 2016 |
| Active sensing in the categorization of visual patterns SCH Yang, M Lengyel, DM Wolpert Elife 5, e12215, 2016 | 122 | 2016 |
| Replication timing is regulated by the number of MCMs loaded at origins SP Das, T Borrman, VWT Liu, SCH Yang, J Bechhoefer, N Rhind Genome Research 25 (12), 1886-1892, 2015 | 100 | 2015 |
| Reconciling stochastic origin firing with defined replication timing N Rhind, SCH Yang, J Bechhoefer Chromosome Research 18, 35-43, 2010 | 95 | 2010 |
| The theoretical and methodological opportunities afforded by guided play with young children Y Yu, P Shafto, E Bonawitz, SCH Yang, RM Golinkoff, KH Corriveau, ... Frontiers in psychology 9, 1152, 2018 | 76 | 2018 |
| Mitigating belief projection in explainable artificial intelligence via Bayesian teaching SCH Yang, WK Vong, RB Sojitra, T Folke, P Shafto Scientific reports 11 (1), 9863, 2021 | 58 | 2021 |
| How Xenopus laevis embryos replicate reliably: Investigating the random-completion problem SCH Yang, J Bechhoefer Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 78 (4 …, 2008 | 52 | 2008 |
| Explainable artificial intelligence via bayesian teaching SCH Yang, P Shafto NIPS 2017 workshop on teaching machines, robots, and humans 2, 2017 | 47 | 2017 |
| Inferring where and when replication initiates from genome-wide replication timing data A Baker, B Audit, SCH Yang, J Bechhoefer, A Arneodo Physical review letters 108 (26), 268101, 2012 | 34 | 2012 |
| Explainable AI for medical imaging: explaining pneumothorax diagnoses with Bayesian teaching T Folke, SCH Yang, S Anderson, P Shafto Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 30 | 2021 |
| Optimal cooperative inference SCH Yang, Y Yu, P Wang, WK Vong, P Shafto International Conference on Artificial Intelligence and Statistics, 376-385, 2018 | 29 | 2018 |
| A psychological theory of explainability SCH Yang, NET Folke, P Shafto International Conference on Machine Learning, 25007-25021, 2022 | 28 | 2022 |
| Interpretable deep Gaussian processes with moments CK Lu, SCH Yang, X Hao, P Shafto International Conference on Artificial Intelligence and Statistics, 613-623, 2020 | 22 | 2020 |
| A unifying computational framework for teaching and active learning SCH Yang, WK Vong, Y Yu, P Shafto Topics in cognitive science 11 (2), 316-337, 2019 | 16 | 2019 |
| Abstraction, validation, and generalization for explainable artificial intelligence SCH Yang, T Folke, P Shafto Applied AI Letters 2 (4), e37, 2021 | 12 | 2021 |
| Teaching versus active learning: A computational analysis of conditions that affect learning SCH Yang, P Shafto Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017 | 11 | 2017 |
| The Inner Loop of Collective Human–Machine Intelligence SCH Yang, T Folke, P Shafto Topics in Cognitive Science, 2023 | 7 | 2023 |
| Computational methods to study kinetics of DNA replication SCH Yang, MG Gauthier, J Bechhoefer DNA Replication: Methods and Protocols, 555-573, 2009 | 7 | 2009 |
| Bayesian Teaching of Image Categories. WK Vong, RB Sojitra, A Reyes, SCH Yang, P Shafto CogSci, 2018 | 6 | 2018 |
Patrick ShaftoMath & CS, Rutgers University - Newark在 rutgers.edu 的电子邮件经过验证
