Mark A. Pitt - RankMe

31 papers A 2B 13Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2020	B	`conf`	Context variability promotes generalization in reading aloud: Insight from a neural network simulation. CogSci Ian Miller, Nicolas Dumay, Mark A. Pitt, Brian Lam, Blair C. Armstrong
2020	B	`conf`	Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation. CogSci Sang Ho Lee, Dan Kim, John Opfer, Mark A. Pitt, Jay I. Myung
2020	B	`conf`	The Scaled Target Learning Model: A Novel Computational Model of the Balloon Analogue Risk Task. CogSci Ran Zhou, Jay I. Myung, Mark A. Pitt
2019	B	`conf`	Active Learning for a Number-Line Task with Two Design Variables. CogSci Sang Ho Lee, Dan Kim, John Opfer, Mark A. Pitt, Jay I. Myung
2019	B	`conf`	Modeling Delay Discounting using Gaussian Process with Active Learning. CogSci Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung
2019	B	`conf`	Optimizing the Design of an Experiment using the ADOpy Package: An Introduction and Tutorial. CogSci Jay I. Myung, Mark A. Pitt, Jaeyeong Yang, Woo-Young Ahn
2018	B	`conf`	Assessing the Validity of Three Tasks of Risk-Taking Propensity: Behavioral Measure and Computational Modeling. CogSci Ran Zhou, Jay I. Myung, Carol Mathews, Mark A. Pitt
2018	B	`conf`	The effect of expertise on auditory categorization: a domain-specific or domain-general mechanism? CogSci Marjorie Freggens, Mark A. Pitt
2017	J	`jnl`	Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach. Cogn. Sci. Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Jay I. Myung
2015	—	`conf`	Rate-dependent speech processing can be speech-specific: Evidence from the disappearance of words under changes in context speech rate. ICPhS Laura Dilley, Mark A. Pitt, Christine Szostak, Melissa Michaud Baese-Berk
2015	B	`conf`	Workshop on Optimizing Experimental Designs: Theory, Practice, and Applications. CogSci Jay I. Myung, Mark A. Pitt, Maarten Speekenbrink
2014	J	`jnl`	A Hierarchical Adaptive Approach to Optimal Experimental Design. Neural Comput. Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Jay I. Myung
2014	B	`conf`	A Hierarchical Adaptive Approach to the Optimal Design of Experiments. CogSci Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Hairong Gu, Jay I. Myung
2013	B	`conf`	Adaptive Estimation of Psychometric Slope and Threshold with Differential Evolution. CogSci Hairong Gu, Jay I. Myung, Mark A. Pitt, Zhong-Lin Lu
2013	J	`jnl`	Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach. Manag. Sci. Daniel R. Cavagnaro, Richard Gonzalez, Jay I. Myung, Mark A. Pitt
2013	J	`jnl`	What Should Be the Data Sharing Policy of Cognitive Science? Top. Cogn. Sci. Mark A. Pitt, Yun Tang
2011	J	`jnl`	Exploring the role of exposure frequency in recognizing pronunciation variants. J. Phonetics Mark A. Pitt, Laura Dilley, Michael Tat
2011	B	`conf`	The use of lexical and duration information in segmenting speech with unclear word boundaries. CogSci Colin Widmer, DaHee Kim, Christine Szostak, Mark A. Pitt
2011	B	`conf`	Tutorial on Model Comparison Methods. CogSci Jay I. Myung, Mark A. Pitt
2010	J	`jnl`	Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science. Neural Comput. Daniel R. Cavagnaro, Jay I. Myung, Mark A. Pitt, Janne V. Kujala
2009	—	`conf`	Adaptive Design Optimization in Experiments with People. NIPS Daniel R. Cavagnaro, Mark A. Pitt, Jay I. Myung
2008	J	`jnl`	Measuring Model Flexibility With Parameter Space Partitioning: An Introduction and Application Example. Cogn. Sci. Mark A. Pitt, Jay I. Myung, Maximiliano Montenegro, James Pooley
2007	A	`conf`	The buckeye corpus of speech: updates and enhancements. INTERSPEECH Eric Fosler-Lussier, Laura Dilley, Na'im R. Tyson, Mark A. Pitt
2005	—	`conf`	Model selection in cognitive science as an inverse problem. Computational Imaging Jay I. Myung, Mark A. Pitt, Daniel J. Navarro
2005	J	`jnl`	The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability. Speech Commun. Mark A. Pitt, Keith Johnson, Elizabeth Hume, Scott F. Kiesling, William D. Raymond
2004	—	`ch.`	Model Comparison Methods. Numerical Computer Methods, Part D Jay I. Myung, Mark A. Pitt
2003	—	`conf`	An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science. NIPS Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Jae Myung
2002	A	`conf`	An analysis of transcription consistency in spontaneous speech from the buckeye corpus. INTERSPEECH William D. Raymond, Mark A. Pitt, Keith Johnson, Elizabeth Hume, Matthew J. Makashay, Robin Dautricourt, Craig Hilts
2000	J	`jnl`	Counting probability distributions: Differential geometry and model selection. Proc. Natl. Acad. Sci. USA In Jae Myung, Vijay Balasubramanian, Mark A. Pitt
2000	—	`conf`	The Use of MDL to Select among Computational Models of Cognition. NIPS In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian
1996	—	`conf`	Transitional probability and phoneme monitoring. ICSLP James M. McQueen, Mark A. Pitt