Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Gónzalez, Sergio, García, Salvador, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R., Herrera, Francisco (2017) Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognition, 70. 12-24 doi:10.1016/j.patcog.2017.04.028

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleClass Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets
JournalPattern Recognition
AuthorsGónzalez, SergioAuthor
García, SalvadorAuthor
Lázaro, MarcelinoAuthor
Figueiras-Vidal, Aníbal R.Author
Herrera, FranciscoAuthor
Year2017 (October)Volume70
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.04.028Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367028Long-form Identifiermindat:1:5:9367028:5
GUID0
Full ReferenceGónzalez, Sergio, García, Salvador, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R., Herrera, Francisco (2017) Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognition, 70. 12-24 doi:10.1016/j.patcog.2017.04.028
Plain TextGónzalez, Sergio, García, Salvador, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R., Herrera, Francisco (2017) Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognition, 70. 12-24 doi:10.1016/j.patcog.2017.04.028
In(2017) Pattern Recognition Vol. 70. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Lázaro, Marcelino, Figueiras-Vidal, Aníbal R. (2023) Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost. Pattern Recognition, 137. 109303 doi:10.1016/j.patcog.2023.109303
Lázaro, Marcelino, Herrera, Francisco, Figueiras-Vidal, Aníbal R. (2020) Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. Information Sciences, 520. 31-45 doi:10.1016/j.ins.2019.12.050
Gutiérrez-López, Aitor, González-Serrano, Francisco-Javier, Figueiras-Vidal, Aníbal R. (2023) Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles. Pattern Recognition, 135. 109158 doi:10.1016/j.patcog.2022.109158
Lázaro, Marcelino, Hayes, Monson H., Figueiras-Vidal, Aníbal R. (2018) Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. Pattern Recognition, 77. 204-215 doi:10.1016/j.patcog.2017.12.018
Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Herrera, Francisco (2013) EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognition, 46 (12). 3460-3471 doi:10.1016/j.patcog.2013.05.006
Triguero, Isaac, García, Salvador, Herrera, Francisco (2011) Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognition, 44 (4). 901-916 doi:10.1016/j.patcog.2010.10.020
Vluymans, Sarah, Sánchez Tarragó, Dánel, Saeys, Yvan, Cornelis, Chris, Herrera, Francisco (2016) Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognition, 53. 36-45 doi:10.1016/j.patcog.2015.12.002
Derrac, Joaquín, García, Salvador, Herrera, Francisco (2010) IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule. Pattern Recognition, 43 (6). 2082-2105 doi:10.1016/j.patcog.2009.12.012
García, Salvador, Cano, José Ramón, Herrera, Francisco (2008) A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognition, 41 (8). 2693-2709 doi:10.1016/j.patcog.2008.02.006
Sáez, José A., Derrac, Joaquín, Luengo, Julián, Herrera, Francisco (2014) Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition, 47 (12). 3941-3948 doi:10.1016/j.patcog.2014.06.012
González, Sergio, García, Salvador, Li, Sheng-Tun, Herrera, Francisco (2019) Chain based sampling for monotonic imbalanced classification. Information Sciences, 474. 187-204 doi:10.1016/j.ins.2018.09.062
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 17, 2025 08:11:33
Go to top of page