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Binary classification

Known as: Binary classifier, Binary categorization, Binary test 
Binary or binomial classification is the task of classifying the elements of a given set into two groups on the basis of a classification rule… Expand
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Related topics

Related topics

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Automatic summarizationBayesian networkCalibration (statistics)Complexity
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Broader (2)

Machine learningStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2019
Review
2019
Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
The identification of Hate Speech in Social Media is of great importance and receives much attention in the text classification… Expand
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Review
2018
Review
2018
Bayesian network based extreme learning machine for subjectivity detection
Abstract Subjectivity detection is a task of natural language processing that aims to remove ‘factual’ or ‘neutral’ content, i.e… Expand
Review
2016
Review
2016
Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter
Hate speech in the form of racism and sexism is commonplace on the internet (Waseem and Hovy, 2016). For this reason, there has… Expand
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Highly Cited
2010
Highly Cited
2010
A discrete particle swarm optimization method for feature selection in binary classification problems
This paper investigates the feature subset selection problem for the binary classification problem using logistic regression… Expand
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Highly Cited
2010
Highly Cited
2010
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured… Expand
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Highly Cited
2007
Highly Cited
2007
Demographic Classification with Local Binary Patterns
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this… Expand
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Highly Cited
2006
Highly Cited
2006
Ordinal Regression by Extended Binary Classification
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework… Expand
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Highly Cited
2004
Highly Cited
2004
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
Diversity among the members of a team of classifiers is deemed to be a key issue in classifier combination. However, measuring… Expand
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Highly Cited
1997
Highly Cited
1997
Shape Quantization and Recognition with Randomized Trees
We explore a new approach to shape recognition based on a virtually infinite family of binary features (queries) of the image… Expand
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