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Binary classification
Known as:
Binary classifier
, Binary categorization
, Binary test
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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…
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Related topics
Related topics
35 relations
Automatic summarization
Bayesian network
Calibration (statistics)
Complexity
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Broader (2)
Machine learning
Statistical classification
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Classification of ransomware families with machine learning based on N-gram of opcodes
Hanqi Zhang
,
Xi Xiao
,
F. Mercaldo
,
S. Ni
,
F. Martinelli
,
A. K. Sangaiah
Future generations computer systems
2019
Corpus ID: 52900254
Highly Cited
2016
Highly Cited
2016
Training feedforward neural networks using multi-verse optimizer for binary classification problems
Hossam Faris
,
Ibrahim Aljarah
,
S. Mirjalili
Applied intelligence (Boston)
2016
Corpus ID: 10314269
This paper employs the recently proposed nature-inspired algorithm called Multi-Verse Optimizer (MVO) for training the Multi…
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Highly Cited
2015
Highly Cited
2015
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
Lei Zhang
,
D. Zhang
IEEE Transactions on Instrumentation and…
2015
Corpus ID: 10361983
This paper addresses an important issue known as sensor drift, which exhibits a nonlinear dynamic property in electronic nose (E…
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Highly Cited
2012
Highly Cited
2012
Unsupervised segmentation and classification of cervical cell images
Asli Gençtav
,
S. Aksoy
,
S. Önder
Pattern Recognition
2012
Corpus ID: 13081599
Highly Cited
2012
Highly Cited
2012
One-Class versus Binary Classification: Which and When?
C. Bellinger
,
Shiven Sharma
,
N. Japkowicz
International Conference on Machine Learning and…
2012
Corpus ID: 14049778
Binary classifiers have typically been the norm for building classification models in the Machine Learning community. However, an…
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Highly Cited
2009
Highly Cited
2009
Comparing the performance of different neural networks for binary classification problems
Piyasak Jeatrakul
,
Kok Wai Wong
Eighth International Symposium on Natural…
2009
Corpus ID: 14388856
Classification problem is a decision making task where many researchers have been working on. There are a number of techniques…
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Highly Cited
2006
Highly Cited
2006
Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation
N. Coops
,
M. Johnson
,
M. Wulder
,
Joanne C. White
2006
Corpus ID: 129096061
Highly Cited
2005
Highly Cited
2005
Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification
A. Bernstein
,
F. Provost
,
Shawndra Hill
IEEE Transactions on Knowledge and Data…
2005
Corpus ID: 12549595
A data mining (DM) process involves multiple stages. A simple, but typical, process might include preprocessing data, applying a…
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Highly Cited
2001
Highly Cited
2001
Experimental diatom dissolution and the quantification of microfossil preservation in sediments
D. Ryves
,
S. Juggins
,
S. Fritz
,
R. Battarbee
2001
Corpus ID: 7970051
Highly Cited
1998
Highly Cited
1998
Text Classification Using WordNet Hypernyms
Sam Scott
,
S. Matwin
WordNet@ACL/COLING
1998
Corpus ID: 641472
This paper describes experiments in Machine Learning for text classification using a new representation of text based on WordNet…
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