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ROC SURFACE: A GENERALIZATION OF ROC CURVE ANALYSIS

Journal of Biopharmaceutical Statistics, 2000
Receiver operating characteristic (ROC) curve analysis is widely used in biomedical research to assess the performance of diagnostic tests. Much of the work has been directed at developing accurate indices to describe ROC curves and appropriate statistics to test differences between them.
H, Yang, D, Carlin
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The ROC skeleton for multiclass ROC estimation

Pattern Recognition Letters, 2010
Multiclass operating characteristics are a generalisation of the two-class receiver operator characteristic. A limitation regarding this generalisation is the computational complexity with increasing numbers of classes. In this paper, the ROC skeleton approach is proposed for efficiently estimating the operating characteristic. New operating points are
Thomas C.W. Landgrebe, Pavel Paclik
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ROC

2013
?????????????????????????? ???????????? ???????????????????? ???????????????????? ?? ?????????????????????????? ROC-????????????. ?????????????????????? ???????????????????????????? ????????????, ???????????????????????? ???????????? ??????????????????????????, ???????????????????????????????????? ?? ?????????????????????????????? ???????????? ROC-?????
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Three-way ROCs

Medical Decision Making, 1999
Receiver operating characteristic (ROC) analysis traditionally has dealt with dichoto mous diagnostic tasks (e.g., determining whether a disorder is present or absent). Often, however, medical problems involve distinguishing among more than two diag nostic alternatives.
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ROC speak

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
We present a framework that couples computer algorithms with human intelligence in order to automatically sense and interpret nonverbal behavior. The framework is cloud-enabled and ubiquitously available via a web browser, and has been validated in the context of public speaking. The system automatically captures audio and video data in-browser through
Michelle Fung   +3 more
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ROC comment

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
We present an automated interface, ROC Comment, for generating natural language comments on behavioral videos. We focus on the domain of public speaking, which many people consider their greatest fear. We collect a dataset of 196 public speaking videos from 49 individuals and gather 12,173 comments, generated by more than 500 independent human judges ...
Mohammad Rafayet Ali   +4 more
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[ROC curve].

Semergen, 2023
The ROC curve is a statistical tool used to evaluate the discriminative capacity of a dichotomous diagnostic test. These are curves in which sensitivity is presented as a function of false positives (complementary to specificity) for different cut-off points.
J A, Martínez Pérez   +1 more
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ROC

This paper introduces the Recursive Ontological Calculus (ROC), a first-order formal system that encodes triadic semiosis, symbolic identity, and curvature-driven recursion. Built on C.S. Peirce’s logical architecture, ROC integrates category-theoretic structure with compression entropy, yielding a complete, machine-verifiable sequent calculus.
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?????????????????????????????? ???????????? ?????????????????????????? ?????????????????????????????? ???????????? ???? ???????????? ???????????????????? ROC-??????????????

2015
?????????????????????????? ???????????? ???? ???????????? ???????????????????? ?????????????????????????? ?????????????? (????????????) ?? ?????????????????????????? ???????????? ???????????????????????? ????????????. ???????????????? ?????????????????? ?????????????????????? ??????????, ???? ???????? ?????????????????? ?????????????? ???????????? ?????
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It ROCS!

2016
In this poster paper we introduce the RASH Online Conversion Service, i.e., a Web application that allows the conversion of ODT documents into RASH, a HTML-based markup language for writing scholarly articles, and from RASH into LaTeX according to Springer LNCS and ACM ICPS.
Di Iorio, Angelo   +5 more
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