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   Articles with "binary data" as a keyword



Enhancing Similarity Measures for Binary Data in Clustering: The Role of Rare Events and Matching Absences

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recommendations! Published in 2025 at "Journal of Chemometrics"

DOI: 10.1002/cem.70061

Abstract: Clustering of binary data is central to various applications, particularly in the fields of medical diagnostics, chemistry, and chemoinformatics. However, standard similarity measures often fail to capture the informative value of rare features and matching… read more here.

Keywords: enhancing similarity; similarity measures; matching absences; measures binary ... See more keywords
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Methods for analyzing binary of data clusters into intestinal segments of the patients

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recommendations! Published in 2020 at "Annals of Nuclear Medicine"

DOI: 10.1007/s12149-020-01471-w

Abstract: We appreciate the reading and commenting on our article by Sabour Siamak regarding the accuracy of oral 67Gallium citrate scintigraphy in the assessment of inflammatory activity of Crohn’s Disease. In his letter, Siamak performs contributions… read more here.

Keywords: disease; intestinal segments; test; binary data ... See more keywords

Conditional mechanochromic fluorescence with turn-on response: A new way to encrypt and decrypt binary data

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recommendations! Published in 2018 at "Dyes and Pigments"

DOI: 10.1016/j.dyepig.2018.06.037

Abstract: Abstract We report the synthesis and photoluminescence (PL) behavior of a new molecular system, which is composed of three positional isomers. They exhibit isomeric effects on both aggregation-induced emission (AIE) and intramolecular charge transfer (ICT)… read more here.

Keywords: fluorescence; mechanochromic fluorescence; conditional mechanochromic; mechanical force ... See more keywords

A comparison of machine learning surrogate models for net present value prediction from well placement binary data

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recommendations! Published in 2021 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2021.109208

Abstract: Abstract Net Present Value (NPV) is an important indicator to guide investment decisions. In oil production planning, NPV is employed to evaluate and select among different production strategies. However, NPV estimation requires computational costly numerical… read more here.

Keywords: well placement; present value; net present; binary data ... See more keywords

LACE-UP: An ensemble machine-learning method for health subtype classification on multidimensional binary data

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recommendations! Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2423341122

Abstract: Significance Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods for binary data,… read more here.

Keywords: machine learning; lace ensemble; health; ensemble machine ... See more keywords

Exact methods of testing the homogeneity of prevalences for correlated binary data

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recommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2017.1351971

Abstract: ABSTRACT Correlated binary data arise in many ophthalmological and otolaryngological clinical trials. To test the homogeneity of prevalences among different groups is an important issue when conducting these trials. The equal correlation coefficients model proposed… read more here.

Keywords: exact methods; correlated binary; methods testing; binary data ... See more keywords
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Likelihood inference for correlated binary data without any information about the joint distributions

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2015.1033553

Abstract: ABSTRACT We propose a universal robust likelihood that is able to accommodate correlated binary data without any information about the underlying joint distributions. This likelihood function is asymptotically valid for the regression parameter for any… read more here.

Keywords: data without; correlated binary; joint distributions; without information ... See more keywords

Modeling the rate of HIV testing from repeated binary data amidst potential never-testers.

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recommendations! Published in 2019 at "Biostatistics"

DOI: 10.1093/biostatistics/kxx071

Abstract: Many longitudinal studies with a binary outcome measure involve a fraction of subjects with a homogeneous response profile. In our motivating data set, a study on the rate of human immunodeficiency virus (HIV) self-testing in… read more here.

Keywords: modeling rate; never testers; group; model ... See more keywords

Doubly robust pseudo-likelihood for incomplete hierarchical binary data

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recommendations! Published in 2018 at "Statistical Modelling"

DOI: 10.1177/1471082x18808611

Abstract: Missing data is almost inevitable in correlated-data studies. For non-Gaussian outcomes with moderate to large sequences, direct-likelihood methods can involve complex, hard-to-manipulate likelihoods. Popular alternative approaches, like generalized estimating equations, that are frequently used to… read more here.

Keywords: hierarchical binary; robust pseudo; pseudo likelihood; binary data ... See more keywords

Simultaneous confidence bands in a zero-inflated regression model for binary data

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recommendations! Published in 2022 at "Random Operators and Stochastic Equations"

DOI: 10.1515/rose-2022-2073

Abstract: Abstract The logistic regression model has become a standard tool to investigate the relationship between a binary outcome and a set of potential predictors. When analyzing binary data, it often arises, however, that the observed… read more here.

Keywords: binary data; model; regression model; confidence bands ... See more keywords

A Survey of Printable Encodings

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recommendations! Published in 2025 at "Algorithms"

DOI: 10.3390/a18080504

Abstract: The representation of binary data in a compact, printable, efficient, and often human-readable format is essential in numerous computing applications, mainly driven by the limitations of systems and communication protocols not designed to handle arbitrary… read more here.

Keywords: survey; binary data; printable encodings; survey printable ... See more keywords