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Cognitive Psychology|January 20, 2021
Data-driven experimental design and model development using Gaussian process with active learningJorge Chang, Jiseob Kim, Byoung-Tak Zhang, et al.Biomicrofluidics|May 19, 2016
Multiphase ferrofluid flows for micro-particle focusing and separationRan Zhou, Cheng WangNeural Computation|August 24, 2014
A hierarchical adaptive approach to optimal experimental designWoojae Kim, Mark A Pitt, Zhong-Lin Lu, et al.Anesthesia and Analgesia|January 19, 2017
Interaction of Isoflurane, Tumor Necrosis Factor-α and β-Amyloid on Long-term Potentiation in Rat Hippocampal SlicesRan Zhou, Philip BicklerMagnetic Resonance Imaging|June 2, 2007
Texture analysis of MR image for predicting the firmness of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) during storage using an artificial neural networkRan Zhou, Yunfei LiPsychonomic Bulletin & Review|December 17, 2021
A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimationSang Ho Lee, Dan Kim, John E Opfer, et al.The Journal of the Acoustical Society of America|February 9, 2010
Boundary element analyses for sound transmission loss of panelsRan Zhou, Malcolm J CrockerJournal of Risk and Uncertainty|January 16, 2018
On the Functional Form of Temporal Discounting: An Optimized Adaptive TestDaniel R Cavagnaro, Gabriel J Aranovich, Samuel M McClure, et al.Plos One|September 8, 2016
Revisiting Neil Armstrongs Moon-Landing Quote: Implications for Speech Perception, Function Word Reduction, and Acoustic AmbiguityMelissa M Baese-Berk, Laura C Dilley, Stephanie Schmidt, et al.Journal of Psychiatric Research|March 11, 2017
A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disordersGabriel J Aranovich, Daniel R Cavagnaro, Mark A Pitt, et al.Pageof 45