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of 91
pro vyhledávání: '"G'Sell, Max"'
Autor:
Vogler, Nikolai, Goyal, Kartik, Lemley, Samuel V., Schuldt, D. J., Warren, Christopher N., G'Sell, Max, Berg-Kirkpatrick, Taylor
We propose a novel computational approach to automatically analyze the physical process behind printing of early modern letterpress books via clustering the running titles found at the top of their pages. Specifically, we design and compare custom ne
Externí odkaz:
http://arxiv.org/abs/2405.00752
Autor:
Vogler, Nikolai, Goyal, Kartik, Reddy, Kishore PV, Pertseva, Elizaveta, Lemley, Samuel V., Warren, Christopher N., G'Sell, Max, Berg-Kirkpatrick, Taylor
In this paper, we develop machine learning techniques to identify unknown printers in early modern (c.~1500--1800) English printed books. Specifically, we focus on matching uniquely damaged character type-imprints in anonymously printed books to work
Externí odkaz:
http://arxiv.org/abs/2306.07998
Autor:
Evans, Ciaran1 (AUTHOR) evansc@wfu.edu, G'Sell, Max2 (AUTHOR)
Publikováno v:
PLoS ONE. 9/16/2024, Vol. 19 Issue 9, p1-16. 16p.
This paper addresses the problem of making statistical inference about a population that can only be identified through classifier predictions. The problem is motivated by scientific studies in which human labels of a population are replaced by a cla
Externí odkaz:
http://arxiv.org/abs/2106.07623
Autor:
Zhang, Tianyu, Zhou, Geyu, Klei, Lambertus, Liu, Peng, Chouldechova, Alexandra, Zhao, Hongyu, Roeder, Kathryn, G’Sell, Max, Devlin, Bernie
Publikováno v:
In Human Genetics and Genomics Advances 11 April 2024 5(2)
Autor:
Evans, Ciaran, G'Sell, Max
Classifier predictions often rely on the assumption that new observations come from the same distribution as training data. When the underlying distribution changes, so does the optimal classification rule, and performance may degrade. We consider th
Externí odkaz:
http://arxiv.org/abs/2009.08592
We propose a deep and interpretable probabilistic generative model to analyze glyph shapes in printed Early Modern documents. We focus on clustering extracted glyph images into underlying templates in the presence of multiple confounding sources of v
Externí odkaz:
http://arxiv.org/abs/2005.01646
Risk assessment tools are widely used around the country to inform decision making within the criminal justice system. Recently, considerable attention has been devoted to the question of whether such tools may suffer from racial bias. In this type o
Externí odkaz:
http://arxiv.org/abs/2003.13808
Changepoint detection methods are used in many areas of science and engineering, e.g., in the analysis of copy number variation data, to detect abnormalities in copy numbers along the genome. Despite the broad array of available tools, methodology fo
Externí odkaz:
http://arxiv.org/abs/1812.03644
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