One-class classification (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "One-class classification" in English language version.

refsWebsite

Global rank English rank

13doi.org

2^nd place

7semanticscholar.org

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5nih.gov

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4handle.net

102^nd place

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1psu.edu

207^th place

136^th place

1rutgers.edu

1,999^th place

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1springer.com

274^th place

309^th place

1nips.cc

low place

7,050^th place

1tudelft.nl

7,640^th place

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1acm.org

1,185^th place

840^th place

1harvard.edu

18^th place

17^th place

1worldcat.org

5^th place

1books.google.com

3^rd place

1umc.edu.dz

low place

1siam.org

low place

6,473^rd place

acm.org

dl.acm.org

Crammer, Koby (2004). "A needle in a haystack". Twenty-first international conference on Machine learning - ICML '04. p. 26. doi:10.1145/1015330.1015399. ISBN 978-1-58113-838-2. S2CID 8736254.

books.google.com

Bishop, Christopher M.; Bishop, Professor of Neural Computing Christopher M. (1995-11-23). Neural Networks for Pattern Recognition. Clarendon Press. ISBN 978-0-19-853864-6.

doi.org

Oliveri P (August 2017). "Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial". Analytica Chimica Acta. 982: 9–19. doi:10.1016/j.aca.2017.05.013. hdl:11567/881059. PMID 28734370.
Japkowicz N (2001). "Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks" (PDF). Machine Learning. 42: 97–122. doi:10.1023/A:1007660820062. S2CID 7298189.
Crammer, Koby (2004). "A needle in a haystack". Twenty-first international conference on Machine learning - ICML '04. p. 26. doi:10.1145/1015330.1015399. ISBN 978-1-58113-838-2. S2CID 8736254.
Moya, M.; Hush, D. (1996). "Network constraints and multi- objective optimization for one-class classification". Neural Networks. 9 (3): 463–474. doi:10.1016/0893-6080(95)00120-4.
Rodionova OY, Oliveri P, Pomerantsev AL (2016-12-15). "Rigorous and compliant approaches to one-class classification". Chemometrics and Intelligent Laboratory Systems. 159: 89–96. doi:10.1016/j.chemolab.2016.10.002. hdl:11567/864539.
Khan, Shehroz S.; Madden, Michael G. (2010). Coyle, Lorcan; Freyne, Jill (eds.). "A Survey of Recent Trends in One Class Classification". Artificial Intelligence and Cognitive Science. Lecture Notes in Computer Science. 6206. Springer Berlin Heidelberg: 188–197. doi:10.1007/978-3-642-17080-5_21. hdl:10379/1472. ISBN 978-3-642-17080-5. S2CID 36784649.
Bugnon, L. A.; Yones, C.; Milone, D. H. & Stegmayer, G. (2020). "Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning". Oxford Bioinformatics. 22 (3). doi:10.1093/bib/bbaa184. PMID 32814347.
Li, W.; Guo, Q.; Elkan, C. (February 2011). "A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data". IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. doi:10.1109/TGRS.2010.2058578. ISSN 0196-2892. S2CID 267120.
Ypma, Alexander; Duin, Robert P. W. (1998). Niklasson, Lars; Bodén, Mikael; Ziemke, Tom (eds.). "Support objects for domain approximation". Icann 98. Perspectives in Neural Computing. Springer London: 719–724. doi:10.1007/978-1-4471-1599-1_110. ISBN 978-1-4471-1599-1.
Irigoien I, Sierra B, Arenas C (2014). "Towards application of one-class classification methods to medical data". TheScientificWorldJournal. 2014: 730712. doi:10.1155/2014/730712. PMC 3980920. PMID 24778600.
Irigoien I, Arenas C (July 2008). "INCA: new statistic for estimating the number of clusters and identifying atypical units". Statistics in Medicine. 27 (15): 2948–73. doi:10.1002/sim.3143. PMID 18050154. S2CID 24791212.
Gözüaçık, Ömer; Can, Fazli (November 2020). "Concept learning using one-class classifiers for implicit drift detection in evolving data streams". Artificial Intelligence Review. 54 (5): 3725–3747. doi:10.1007/s10462-020-09939-x. hdl:11693/77042. S2CID 229506136.
Krawczyk, Bartosz; Woźniak, Michał (2015). "One-class classifiers with incremental learning and forgetting for data streams with concept drift". Soft Computing. 19 (12): 3387–3400. doi:10.1007/s00500-014-1492-5. S2CID 207011971.

handle.net

hdl.handle.net

Oliveri P (August 2017). "Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial". Analytica Chimica Acta. 982: 9–19. doi:10.1016/j.aca.2017.05.013. hdl:11567/881059. PMID 28734370.
Rodionova OY, Oliveri P, Pomerantsev AL (2016-12-15). "Rigorous and compliant approaches to one-class classification". Chemometrics and Intelligent Laboratory Systems. 159: 89–96. doi:10.1016/j.chemolab.2016.10.002. hdl:11567/864539.
Khan, Shehroz S.; Madden, Michael G. (2010). Coyle, Lorcan; Freyne, Jill (eds.). "A Survey of Recent Trends in One Class Classification". Artificial Intelligence and Cognitive Science. Lecture Notes in Computer Science. 6206. Springer Berlin Heidelberg: 188–197. doi:10.1007/978-3-642-17080-5_21. hdl:10379/1472. ISBN 978-3-642-17080-5. S2CID 36784649.
Gözüaçık, Ömer; Can, Fazli (November 2020). "Concept learning using one-class classifiers for implicit drift detection in evolving data streams". Artificial Intelligence Review. 54 (5): 3725–3747. doi:10.1007/s10462-020-09939-x. hdl:11693/77042. S2CID 229506136.

harvard.edu

ui.adsabs.harvard.edu

Li, W.; Guo, Q.; Elkan, C. (February 2011). "A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data". IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. doi:10.1109/TGRS.2010.2058578. ISSN 0196-2892. S2CID 267120.

nih.gov

pubmed.ncbi.nlm.nih.gov

Oliveri P (August 2017). "Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial". Analytica Chimica Acta. 982: 9–19. doi:10.1016/j.aca.2017.05.013. hdl:11567/881059. PMID 28734370.
Bugnon, L. A.; Yones, C.; Milone, D. H. & Stegmayer, G. (2020). "Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning". Oxford Bioinformatics. 22 (3). doi:10.1093/bib/bbaa184. PMID 32814347.
Irigoien I, Sierra B, Arenas C (2014). "Towards application of one-class classification methods to medical data". TheScientificWorldJournal. 2014: 730712. doi:10.1155/2014/730712. PMC 3980920. PMID 24778600.
Irigoien I, Arenas C (July 2008). "INCA: new statistic for estimating the number of clusters and identifying atypical units". Statistics in Medicine. 27 (15): 2948–73. doi:10.1002/sim.3143. PMID 18050154. S2CID 24791212.

ncbi.nlm.nih.gov

Irigoien I, Sierra B, Arenas C (2014). "Towards application of one-class classification methods to medical data". TheScientificWorldJournal. 2014: 730712. doi:10.1155/2014/730712. PMC 3980920. PMID 24778600.

nips.cc

papers.nips.cc

Petsche T, Marcantonio A, Darken C, Hanson S, Kuhn G, Santoso I (1996). "A Neural Network Autoassociator for Induction Motor Failure Prediction" (PDF). NIPS.

psu.edu

citeseerx.ist.psu.edu

Japkowicz N, Myers C, Gluck M (1995). "A Novelty Detection Approach to Classification". pp. 518–523. CiteSeerX 10.1.1.40.3663.

rutgers.edu

rucore.libraries.rutgers.edu

Japkowicz N (1999). Concept-Learning in the Absence of Counter-Examples:An Autoassociation-Based Approach to Classification (Thesis). Rutgers University.

semanticscholar.org

api.semanticscholar.org

Japkowicz N (2001). "Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks" (PDF). Machine Learning. 42: 97–122. doi:10.1023/A:1007660820062. S2CID 7298189.
Crammer, Koby (2004). "A needle in a haystack". Twenty-first international conference on Machine learning - ICML '04. p. 26. doi:10.1145/1015330.1015399. ISBN 978-1-58113-838-2. S2CID 8736254.
Khan, Shehroz S.; Madden, Michael G. (2010). Coyle, Lorcan; Freyne, Jill (eds.). "A Survey of Recent Trends in One Class Classification". Artificial Intelligence and Cognitive Science. Lecture Notes in Computer Science. 6206. Springer Berlin Heidelberg: 188–197. doi:10.1007/978-3-642-17080-5_21. hdl:10379/1472. ISBN 978-3-642-17080-5. S2CID 36784649.
Li, W.; Guo, Q.; Elkan, C. (February 2011). "A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data". IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. doi:10.1109/TGRS.2010.2058578. ISSN 0196-2892. S2CID 267120.
Irigoien I, Arenas C (July 2008). "INCA: new statistic for estimating the number of clusters and identifying atypical units". Statistics in Medicine. 27 (15): 2948–73. doi:10.1002/sim.3143. PMID 18050154. S2CID 24791212.
Gözüaçık, Ömer; Can, Fazli (November 2020). "Concept learning using one-class classifiers for implicit drift detection in evolving data streams". Artificial Intelligence Review. 54 (5): 3725–3747. doi:10.1007/s10462-020-09939-x. hdl:11693/77042. S2CID 229506136.
Krawczyk, Bartosz; Woźniak, Michał (2015). "One-class classifiers with incremental learning and forgetting for data streams with concept drift". Soft Computing. 19 (12): 3387–3400. doi:10.1007/s00500-014-1492-5. S2CID 207011971.

siam.org

bookstore.siam.org

"Introduction to Applied Mathematics". SIAM Bookstore. Retrieved 2019-04-29.

springer.com

link.springer.com

Japkowicz N (2001). "Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks" (PDF). Machine Learning. 42: 97–122. doi:10.1023/A:1007660820062. S2CID 7298189.

tudelft.nl

homepage.tudelft.nl

Tax D (2001). One-class classification: Concept-learning in the absence of counter-examples (PDF) (Ph.D. thesis). The Netherlands: University of Delft.

umc.edu.dz

archives.umc.edu.dz

Ullman, Neil R (2017-01-01). Elementary statistics.^{[dead link‍]}

worldcat.org

search.worldcat.org

Li, W.; Guo, Q.; Elkan, C. (February 2011). "A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data". IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. doi:10.1109/TGRS.2010.2058578. ISSN 0196-2892. S2CID 267120.