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File A Computational and Empirical Investigation of Graphemes in Reading
Perry, C., Ziegler, J. C., & Zorzi, M. (2013). A computational and empirical investigation of graphemes in reading. Cognitive Science, 37, 800-828.
File Rules versus statistics in reading aloud: New evidence on an old debate
Perry, C., Ziegler, J. C., Braun, M., & Zorzi, M. (2010). Rules versus statistics in reading aloud: New evidence on an old debate. European Journal of ...
File C header When silent letters say more than a thousand words: An implementation and evaluation of CDP++ in French
7. Perry, C., Ziegler, J. C., & Zorzi, M. (2014). When silent letters say more than a thousand words: An implementation and evaluation of CDP++ in French. ...
File Beyond single syllables: Large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model
Perry, C., Ziegler, J. C., & Zorzi, M. (2010). Beyond single syllables: large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) ...
File CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
6. Perry, C., Ziegler, J. C., & Zorzi, M. (2014). CDP++.Italian: Modelling sublexical and supralexical inconsistency in a shallow orthography. PLoS ONE 9(4): ...
File Decoding Cognitive States from fMRI Data Using Support Vector Regression
Di Bono, M. G., & Zorzi, M. (2008). Decoding cognitive states from fMRI Data Using Support Vector Regression. Psychnology Journal, 6 (2), 189-201.
File Reply to Skottun and Skoyles: Statistical and practical significance of extra-wide letter spacing for dyslexic children
Zorzi, M., Barbiero, C., Facoetti, a., & Ziegler, J. C. (2012). Reply to Skottun and Skoyles: Statistical and practical significance of extra-wide letter ...
File D source code Nested Incremental Modeling in the Development of Computational Theories: The CDP+ Model of Reading Aloud
Perry, C., Ziegler, J. C., & Zorzi, M. (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. ...
File Computational foundations of the visual number sense
Stoianov, I., & Zorzi, M. (2017). Computational foundations of the visual number sense. Behavioral and Brain Sciences, 40. doi: 10.1017/S0140525X16002326
File text/texmacs Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients
Shafiezadeh, S., Duma, G. M., Mento, G., Danieli, A., Antoniazzi, L., Del Popolo Cristaldi, F., ... & Testolin, A. (2023). Methodological issues in evaluating ...