Feature selection (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Feature selection" in English language version.

refsWebsite

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42doi.org

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27nih.gov

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14semanticscholar.org

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13harvard.edu

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9arxiv.org

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7researchgate.net

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2mit.edu

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2acm.org

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1archives-ouvertes.fr

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aaai.org (Global: 9,352^nd place; English: 5,696^th place)

Yu, Lei; Liu, Huan (August 2003). "Feature selection for high-dimensional data: a fast correlation-based filter solution" (PDF). ICML'03: Proceedings of the Twentieth International Conference on International Conference on Machine Learning: 856–863.

acm.org (Global: 1,185^th place; English: 840^th place)

dl.acm.org

García-Torres, Miguel; Gómez-Vela, Francisco; Divina, Federico; Pinto-Roa, Diego P.; Noguera, José Luis Vázquez; Román, Julio C. Mello (2021). "Scatter search for high-dimensional feature selection using feature grouping". Proceedings of the Genetic and Evolutionary Computation Conference Companion. pp. 149–150. doi:10.1145/3449726.3459481. ISBN 9781450383516. S2CID 235770316.
Brown, Gavin; Pocock, Adam; Zhao, Ming-Jie; Luján, Mikel (2012). "Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection". Journal of Machine Learning Research. 13: 27–66.[1]

archives-ouvertes.fr (Global: 1,031^st place; English: 879^th place)

tel.archives-ouvertes.fr

Hamon, Julie (November 2013). Optimisation combinatoire pour la sélection de variables en régression en grande dimension: Application en génétique animale (Thesis) (in French). Lille University of Science and Technology.

arxiv.org (Global: 69^th place; English: 59^th place)

Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang (2012). "Polynomial Regression on Riemannian Manifolds". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7574. Berlin, Heidelberg: Springer. pp. 1–14. arXiv:1201.2395. doi:10.1007/978-3-642-33712-3_1. ISBN 978-3-642-33712-3. S2CID 8849753.
Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Hazimeh, Hussein; Mazumder, Rahul; Saab, Ali (2020). "Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization". arXiv:2004.06152 [stat.CO].
Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph G; Grassberger, Peter (2003). "Hierarchical Clustering Based on Mutual Information". arXiv:q-bio/0311039. Bibcode:2003q.bio....11039K. {{cite journal}}: Cite journal requires |journal= (help)
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
H. Deng, G. Runger, "Feature Selection via Regularized Trees", Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, 2012
Das, Abhimanyu; Kempe, David (2011). "Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection". arXiv:1102.3975 [stat.ML].

books.google.com (Global: 3^rd place; English: 3^rd place)

Burnham, K. P.; Anderson, D. R. (2002), Model Selection and Multimodel Inference: A practical information-theoretic approach (2nd ed.), Springer-Verlag, ISBN 9780387953649.

doi.org (Global: 2^nd place; English: 2^nd place)

doi.org

Brank, Janez; Mladenić, Dunja; Grobelnik, Marko; Liu, Huan; Mladenić, Dunja; Flach, Peter A.; Garriga, Gemma C.; Toivonen, Hannu; Toivonen, Hannu (2011), "Feature Selection", in Sammut, Claude; Webb, Geoffrey I. (eds.), Encyclopedia of Machine Learning, Boston, MA: Springer US, pp. 402–406, doi:10.1007/978-0-387-30164-8_306, ISBN 978-0-387-30768-8, retrieved 2021-07-13
Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.
Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization" (PDF). 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258. Archived from the original on 2024-04-14. Retrieved 2023-07-22.
Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang (2012). "Polynomial Regression on Riemannian Manifolds". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7574. Berlin, Heidelberg: Springer. pp. 1–14. arXiv:1201.2395. doi:10.1007/978-3-642-33712-3_1. ISBN 978-3-642-33712-3. S2CID 8849753.
Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.{{cite journal}}: CS1 maint: article number as page number (link)
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Yishi Zhang; Shujuan Li; Teng Wang; Zigang Zhang (2013). "Divergence-based feature selection for separate classes". Neurocomputing. 101 (4): 32–42. doi:10.1016/j.neucom.2012.06.036.
Guyon I.; Weston J.; Barnhill S.; Vapnik V. (2002). "Gene selection for cancer classification using support vector machines". Machine Learning. 46 (1–3): 389–422. doi:10.1023/A:1012487302797.
Bach, Francis R (2008). "Bolasso". Proceedings of the 25th international conference on Machine learning - ICML '08. pp. 33–40. doi:10.1145/1390156.1390161. ISBN 9781605582054. S2CID 609778.
Zare, Habil (2013). "Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis". BMC Genomics. 14 (Suppl 1): S14. doi:10.1186/1471-2164-14-S1-S14. PMC 3549810. PMID 23369194.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.{{cite journal}}: CS1 maint: article number as page number (link)
Figueroa, Alejandro (2015). "Exploring effective features for recognizing the user intent behind web queries". Computers in Industry. 68: 162–169. doi:10.1016/j.compind.2015.01.005.
Figueroa, Alejandro; Guenter Neumann (2014). "Category-specific models for ranking effective paraphrases in community Question Answering". Expert Systems with Applications. 41 (10): 4730–4742. doi:10.1016/j.eswa.2014.02.004. hdl:10533/196878.
Zhang, Y.; Wang, S.; Phillips, P. (2014). "Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection". Knowledge-Based Systems. 64: 22–31. doi:10.1016/j.knosys.2014.03.015.
García-Torres, Miguel; Gómez-Vela, Francisco; Divina, Federico; Pinto-Roa, Diego P.; Noguera, José Luis Vázquez; Román, Julio C. Mello (2021). "Scatter search for high-dimensional feature selection using feature grouping". Proceedings of the Genetic and Evolutionary Computation Conference Companion. pp. 149–150. doi:10.1145/3449726.3459481. ISBN 9781450383516. S2CID 235770316.
Garcia-Torres, Miguel (2025). "Feature selection for high-dimensional data using a multivariate search space reduction strategy based scatter search". Journal of Heuristics. 31 10. doi:10.1007/s10732-025-09550-9.
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. Bibcode:2005ITPAM..27.1226P. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
Senliol, Baris; et al. (2008). "Fast Correlation Based Filter (FCBF) with a different search strategy". 2008 23rd International Symposium on Computer and Information Sciences. pp. 1–4. doi:10.1109/ISCIS.2008.4717949. ISBN 978-1-4244-2880-9. S2CID 8398495.
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.{{cite journal}}: CS1 maint: article number as page number (link)
Shah, S. C.; Kusiak, A. (2004). "Data mining and genetic algorithm based gene/SNP selection". Artificial Intelligence in Medicine. 31 (3): 183–196. doi:10.1016/j.artmed.2004.04.002. PMID 15302085.
Long, N.; Gianola, D.; Weigel, K. A (2011). "Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins". Journal of Animal Breeding and Genetics. 128 (4): 247–257. doi:10.1111/j.1439-0388.2011.00917.x. PMID 21749471.
Üstünkar, Gürkan; Özöğür-Akyüz, Süreyya; Weber, Gerhard W.; Friedrich, Christoph M.; Aydın Son, Yeşim (2012). "Selection of representative SNP sets for genome-wide association studies: A metaheuristic approach". Optimization Letters. 6 (6): 1207–1218. doi:10.1007/s11590-011-0419-7. hdl:11511/30584. S2CID 8075318.
Meiri, R.; Zahavi, J. (2006). "Using simulated annealing to optimize the feature selection problem in marketing applications". European Journal of Operational Research. 171 (3): 842–858. doi:10.1016/j.ejor.2004.09.010.
Kapetanios, G. (2007). "Variable Selection in Regression Models using Nonstandard Optimisation of Information Criteria". Computational Statistics & Data Analysis. 52 (1): 4–15. doi:10.1016/j.csda.2007.04.006.
Broadhurst, D.; Goodacre, R.; Jones, A.; Rowland, J. J.; Kell, D. B. (1997). "Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry". Analytica Chimica Acta. 348 (1–3): 71–86. Bibcode:1997AcAC..348...71B. doi:10.1016/S0003-2670(97)00065-2.
Chuang, L.-Y.; Yang, C.-H. (2009). "Tabu search and binary particle swarm optimization for feature selection using microarray data". Journal of Computational Biology. 16 (12): 1689–1703. doi:10.1089/cmb.2007.0211. PMID 20047491.
Aitken, S. (2005). "Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes". BMC Bioinformatics. 6 (1) 148. doi:10.1186/1471-2105-6-148. PMC 1181625. PMID 15958165.
Oh, I. S.; Moon, B. R. (2004). "Hybrid genetic algorithms for feature selection". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (11): 1424–1437. Bibcode:2004ITPAM..26.1424O. CiteSeerX 10.1.1.467.4179. doi:10.1109/tpami.2004.105. PMID 15521491.
Xuan, P.; Guo, M. Z.; Wang, J.; Liu, X. Y.; Liu, Y. (2011). "Genetic algorithm-based efficient feature selection for classification of pre-miRNAs". Genetics and Molecular Research. 10 (2): 588–603. doi:10.4238/vol10-2gmr969 (inactive 4 September 2025). PMID 21491369.{{cite journal}}: CS1 maint: DOI inactive as of September 2025 (link)
Peng, S. (2003). "Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines". FEBS Letters. 555 (2): 358–362. Bibcode:2003FEBSL.555..358P. doi:10.1016/s0014-5793(03)01275-4. PMID 14644442.
Hernandez, J. C. H.; Duval, B.; Hao, J.-K. (2007). "A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data". Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. EvoBIO 2007. Lecture Notes in Computer Science. Vol. 4447. Berlin: Springer Verlag. pp. 90–101. doi:10.1007/978-3-540-71783-6_9. ISBN 978-3-540-71782-9.
Huerta, E. B.; Duval, B.; Hao, J.-K. (2006). "A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data". Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science. Vol. 3907. pp. 34–44. doi:10.1007/11732242_4. ISBN 978-3-540-33237-4.
Muni, D. P.; Pal, N. R.; Das, J. (2006). "Genetic programming for simultaneous feature selection and classifier design". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 36 (1): 106–117. Bibcode:2006ITSMB..36..106M. doi:10.1109/TSMCB.2005.854499. PMID 16468570. S2CID 2073035.
Jourdan, L.; Dhaenens, C.; Talbi, E.-G. (2005). "Linkage disequilibrium study with a parallel adaptive GA". International Journal of Foundations of Computer Science. 16 (2): 241–260. doi:10.1142/S0129054105002978.
Zhang, Y.; Dong, Z.; Phillips, P.; Wang, S. (2015). "Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning". Frontiers in Computational Neuroscience. 9: 66. doi:10.3389/fncom.2015.00066. PMC 4451357. PMID 26082713.
Roffo, G.; Melzi, S.; Cristani, M. (2015-12-01). "Infinite Feature Selection". 2015 IEEE International Conference on Computer Vision (ICCV). pp. 4202–4210. doi:10.1109/ICCV.2015.478. ISBN 978-1-4673-8391-2. S2CID 3223980.
Sun, Y.; Todorovic, S.; Goodison, S. (2010). "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1610–1626. Bibcode:2010ITPAM..32.1610S. doi:10.1109/tpami.2009.190. PMC 3445441. PMID 20634556.

dx.doi.org

Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization" (PDF). 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258. Archived from the original on 2024-04-14. Retrieved 2023-07-22.

dtic.mil (Global: 833^rd place; English: 567^th place)

apps.dtic.mil

Akaike, H. (1985), "Prediction and entropy", in Atkinson, A. C.; Fienberg, S. E. (eds.), A Celebration of Statistics (PDF), Springer, pp. 1–24, archived (PDF) from the original on August 30, 2019.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Figueroa, Alejandro; Guenter Neumann (2014). "Category-specific models for ranking effective paraphrases in community Question Answering". Expert Systems with Applications. 41 (10): 4730–4742. doi:10.1016/j.eswa.2014.02.004. hdl:10533/196878.
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Üstünkar, Gürkan; Özöğür-Akyüz, Süreyya; Weber, Gerhard W.; Friedrich, Christoph M.; Aydın Son, Yeşim (2012). "Selection of representative SNP sets for genome-wide association studies: A metaheuristic approach". Optimization Letters. 6 (6): 1207–1218. doi:10.1007/s11590-011-0419-7. hdl:11511/30584. S2CID 8075318.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.{{cite journal}}: CS1 maint: article number as page number (link)
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.{{cite journal}}: CS1 maint: article number as page number (link)
Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph G; Grassberger, Peter (2003). "Hierarchical Clustering Based on Mutual Information". arXiv:q-bio/0311039. Bibcode:2003q.bio....11039K. {{cite journal}}: Cite journal requires |journal= (help)
Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. Bibcode:2005ITPAM..27.1226P. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.{{cite journal}}: CS1 maint: article number as page number (link)
Broadhurst, D.; Goodacre, R.; Jones, A.; Rowland, J. J.; Kell, D. B. (1997). "Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry". Analytica Chimica Acta. 348 (1–3): 71–86. Bibcode:1997AcAC..348...71B. doi:10.1016/S0003-2670(97)00065-2.
Oh, I. S.; Moon, B. R. (2004). "Hybrid genetic algorithms for feature selection". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (11): 1424–1437. Bibcode:2004ITPAM..26.1424O. CiteSeerX 10.1.1.467.4179. doi:10.1109/tpami.2004.105. PMID 15521491.
Peng, S. (2003). "Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines". FEBS Letters. 555 (2): 358–362. Bibcode:2003FEBSL.555..358P. doi:10.1016/s0014-5793(03)01275-4. PMID 14644442.
Muni, D. P.; Pal, N. R.; Das, J. (2006). "Genetic programming for simultaneous feature selection and classifier design". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 36 (1): 106–117. Bibcode:2006ITSMB..36..106M. doi:10.1109/TSMCB.2005.854499. PMID 16468570. S2CID 2073035.
Sun, Y.; Todorovic, S.; Goodison, S. (2010). "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1610–1626. Bibcode:2010ITPAM..32.1610S. doi:10.1109/tpami.2009.190. PMC 3445441. PMID 20634556.

jmlr.org (Global: low place; English: low place)

Kratsios, Anastasis; Hyndman, Cody (2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22 (92): 1–51. ISSN 1533-7928.
Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.{{cite journal}}: CS1 maint: article number as page number (link)
Forman, George (2003). "An extensive empirical study of feature selection metrics for text classification" (PDF). Journal of Machine Learning Research. 3: 1289–1305.
Aliferis, Constantin (2010). "Local causal and markov blanket induction for causal discovery and feature selection for classification part I: Algorithms and empirical evaluation" (PDF). Journal of Machine Learning Research. 11: 171–234.
Brown, Gavin; Pocock, Adam; Zhao, Ming-Jie; Luján, Mikel (2012). "Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection". Journal of Machine Learning Research. 13: 27–66.[1]

mit.edu (Global: 415^th place; English: 327^th place)

jmlr.csail.mit.edu

Guyon, Isabelle; Elisseeff, André (2003). "An Introduction to Variable and Feature Selection". JMLR. 3.
Rodriguez-Lujan, I.; Huerta, R.; Elkan, C.; Santa Cruz, C. (2010). "Quadratic programming feature selection" (PDF). JMLR. 11: 1491–1516.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.{{cite journal}}: CS1 maint: article number as page number (link)
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Zare, Habil (2013). "Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis". BMC Genomics. 14 (Suppl 1): S14. doi:10.1186/1471-2164-14-S1-S14. PMC 3549810. PMID 23369194.
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Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
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Sun, Y.; Todorovic, S.; Goodison, S. (2010). "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1610–1626. Bibcode:2010ITPAM..32.1610S. doi:10.1109/tpami.2009.190. PMC 3445441. PMID 20634556.

ncbi.nlm.nih.gov

Kratsios, Anastasis; Hyndman, Cody (June 8, 2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22: 10312. Bibcode:2015NatSR...510312B. doi:10.1038/srep10312. PMC 4437376. PMID 25988841.{{cite journal}}: CS1 maint: article number as page number (link)
Urbanowicz, Ryan J.; Meeker, Melissa; LaCava, William; Olson, Randal S.; Moore, Jason H. (2018). "Relief-Based Feature Selection: Introduction and Review". Journal of Biomedical Informatics. 85: 189–203. arXiv:1711.08421. doi:10.1016/j.jbi.2018.07.014. PMC 6299836. PMID 30031057.
Zare, Habil (2013). "Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis". BMC Genomics. 14 (Suppl 1): S14. doi:10.1186/1471-2164-14-S1-S14. PMC 3549810. PMID 23369194.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.{{cite journal}}: CS1 maint: article number as page number (link)
Saghapour, E.; Kermani, S.; Sehhati, M. (2017). "A novel feature ranking method for prediction of cancer stages using proteomics data". PLOS ONE. 12 (9): e0184203. Bibcode:2017PLoSO..1284203S. doi:10.1371/journal.pone.0184203. PMC 5608217. PMID 28934234.{{cite journal}}: CS1 maint: article number as page number (link)
Aitken, S. (2005). "Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes". BMC Bioinformatics. 6 (1) 148. doi:10.1186/1471-2105-6-148. PMC 1181625. PMID 15958165.
Zhang, Y.; Dong, Z.; Phillips, P.; Wang, S. (2015). "Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning". Frontiers in Computational Neuroscience. 9: 66. doi:10.3389/fncom.2015.00066. PMC 4451357. PMID 26082713.
Sun, Y.; Todorovic, S.; Goodison, S. (2010). "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1610–1626. Bibcode:2010ITPAM..32.1610S. doi:10.1109/tpami.2009.190. PMC 3445441. PMID 20634556.

nips.cc (Global: low place; English: 7,050^th place)

papers.nips.cc

Yang, Howard Hua; Moody, John (2000). "Data visualization and feature selection: New algorithms for nongaussian data" (PDF). Advances in Neural Information Processing Systems: 687–693.
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penglab.com (Global: low place; English: low place)

home.penglab.com

Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. Bibcode:2005ITPAM..27.1226P. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. Bibcode:2005ITPAM..27.1226P. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Oh, I. S.; Moon, B. R. (2004). "Hybrid genetic algorithms for feature selection". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (11): 1424–1437. Bibcode:2004ITPAM..26.1424O. CiteSeerX 10.1.1.467.4179. doi:10.1109/tpami.2004.105. PMID 15521491.

r-project.org (Global: 7,871^st place; English: 5,225^th place)

cran.r-project.org

RRF: Regularized Random Forest, R package on CRAN

researchgate.net (Global: 120^th place; English: 125^th place)

Figueroa, Alejandro (2015). "Exploring effective features for recognizing the user intent behind web queries". Computers in Industry. 68: 162–169. doi:10.1016/j.compind.2015.01.005.
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sciencedirect.com (Global: 149^th place; English: 178^th place)

D.H. Wang, Y.C. Liang, D.Xu, X.Y. Feng, R.C. Guan(2018), "A content-based recommender system for computer science publications", Knowledge-Based Systems, 157: 1-9

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization" (PDF). 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258. Archived from the original on 2024-04-14. Retrieved 2023-07-22.
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Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
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Einicke, G. A. (2018). "Maximum-Entropy Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running". IEEE Journal of Biomedical and Health Informatics. 28 (4): 1097–1103. arXiv:2501.13750. Bibcode:2018IJBHI..22.1097E. doi:10.1109/JBHI.2017.2711487. hdl:10810/68978. PMID 29969403. S2CID 49555941.
Peng, H. C.; Long, F.; Ding, C. (2005). "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (8): 1226–1238. Bibcode:2005ITPAM..27.1226P. CiteSeerX 10.1.1.63.5765. doi:10.1109/TPAMI.2005.159. PMID 16119262. S2CID 206764015. Program
Yamada, M.; Jitkrittum, W.; Sigal, L.; Xing, E. P.; Sugiyama, M. (2014). "High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso". Neural Computation. 26 (1): 185–207. arXiv:1202.0515. doi:10.1162/NECO_a_00537. PMID 24102126. S2CID 2742785.
Senliol, Baris; et al. (2008). "Fast Correlation Based Filter (FCBF) with a different search strategy". 2008 23rd International Symposium on Computer and Information Sciences. pp. 1–4. doi:10.1109/ISCIS.2008.4717949. ISBN 978-1-4244-2880-9. S2CID 8398495.
Üstünkar, Gürkan; Özöğür-Akyüz, Süreyya; Weber, Gerhard W.; Friedrich, Christoph M.; Aydın Son, Yeşim (2012). "Selection of representative SNP sets for genome-wide association studies: A metaheuristic approach". Optimization Letters. 6 (6): 1207–1218. doi:10.1007/s11590-011-0419-7. hdl:11511/30584. S2CID 8075318.
Muni, D. P.; Pal, N. R.; Das, J. (2006). "Genetic programming for simultaneous feature selection and classifier design". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 36 (1): 106–117. Bibcode:2006ITSMB..36..106M. doi:10.1109/TSMCB.2005.854499. PMID 16468570. S2CID 2073035.
Roffo, G.; Melzi, S.; Cristani, M. (2015-12-01). "Infinite Feature Selection". 2015 IEEE International Conference on Computer Vision (ICCV). pp. 4202–4210. doi:10.1109/ICCV.2015.478. ISBN 978-1-4673-8391-2. S2CID 3223980.

pdfs.semanticscholar.org

F.C. Garcia-Lopez, M. Garcia-Torres, B. Melian, J.A. Moreno-Perez, J.M. Moreno-Vega. Solving feature subset selection problem by a Parallel Scatter Search, European Journal of Operational Research, vol. 169, no. 2, pp. 477–489, 2006.

springer.com (Global: 274^th place; English: 309^th place)

link.springer.com

Brank, Janez; Mladenić, Dunja; Grobelnik, Marko; Liu, Huan; Mladenić, Dunja; Flach, Peter A.; Garriga, Gemma C.; Toivonen, Hannu; Toivonen, Hannu (2011), "Feature Selection", in Sammut, Claude; Webb, Geoffrey I. (eds.), Encyclopedia of Machine Learning, Boston, MA: Springer US, pp. 402–406, doi:10.1007/978-0-387-30164-8_306, ISBN 978-0-387-30768-8, retrieved 2021-07-13
Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang (2012). "Polynomial Regression on Riemannian Manifolds". In Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia (eds.). Computer Vision – ECCV 2012. Lecture Notes in Computer Science. Vol. 7574. Berlin, Heidelberg: Springer. pp. 1–14. arXiv:1201.2395. doi:10.1007/978-3-642-33712-3_1. ISBN 978-3-642-33712-3. S2CID 8849753.
Garcia-Torres, Miguel (2025). "Feature selection for high-dimensional data using a multivariate search space reduction strategy based scatter search". Journal of Heuristics. 31 10. doi:10.1007/s10732-025-09550-9.

stanford.edu (Global: 179^th place; English: 183^rd place)

htsnp.stanford.edu

T. M. Phuong, Z. Lin et R. B. Altman. Choosing SNPs using feature selection. Archived 2016-09-13 at the Wayback Machine Proceedings / IEEE Computational Systems Bioinformatics Conference, CSB. IEEE Computational Systems Bioinformatics Conference, pages 301-309, 2005. PMID 16447987.

ai.stanford.edu

R. Kohavi and G. John, "Wrappers for feature subset selection", Artificial intelligence 97.1-2 (1997): 273-324

surdeanu.info (Global: low place; English: low place)

Yang, Yiming; Pedersen, Jan O. (1997). A comparative study on feature selection in text categorization (PDF). ICML.

uma.es (Global: low place; English: low place)

neo.lcc.uma.es

E. Alba, J. Garia-Nieto, L. Jourdan et E.-G. Talbi. Gene Selection in Cancer Classification using PSO-SVM and GA-SVM Hybrid Algorithms. Archived 2016-08-18 at the Wayback Machine Congress on Evolutionary Computation, Singapore: Singapore (2007), 2007

uniba.it (Global: low place; English: low place)

di.uniba.it

Roffo, Giorgio; Melzi, Simone (September 2016). "Features Selection via Eigenvector Centrality" (PDF). NFmcp2016. Retrieved 12 November 2016.

unimelb.edu.au (Global: 3,221^st place; English: 2,222^nd place)

people.eng.unimelb.edu.au

Nguyen X. Vinh, Jeffrey Chan, Simone Romano and James Bailey, "Effective Global Approaches for Mutual Information based Feature Selection". Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), August 24–27, New York City, 2014. "[3]"

univ-angers.fr (Global: low place; English: low place)

info.univ-angers.fr

B. Duval, J.-K. Hao et J. C. Hernandez Hernandez. A memetic algorithm for gene selection and molecular classification of an cancer. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, pages 201-208, New York, NY, USA, 2009. ACM.

usc.edu (Global: 1,077^th place; English: 761^st place)

www-bcf.usc.edu

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani (2013). An Introduction to Statistical Learning. Springer. p. 204.

utwente.nl (Global: low place; English: 8,900^th place)

ris.utwente.nl

Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization" (PDF). 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258. Archived from the original on 2024-04-14. Retrieved 2023-07-22.

waikato.ac.nz (Global: low place; English: low place)

cs.waikato.ac.nz

Hall, M. (1999). Correlation-based Feature Selection for Machine Learning (PDF) (PhD thesis). University of Waikato.

washington.edu (Global: 1,067^th place; English: 749^th place)

melodi.ee.washington.edu

Liu et al., Submodular feature selection for high-dimensional acoustic score spaces Archived 2015-10-17 at the Wayback Machine

web.archive.org (Global: 1^st place; English: 1^st place)

Persello, Claudio; Bruzzone, Lorenzo (July 2014). "Relevant and invariant feature selection of hyperspectral images for domain generalization" (PDF). 2014 IEEE Geoscience and Remote Sensing Symposium (PDF). IEEE. pp. 3562–3565. doi:10.1109/igarss.2014.6947252. ISBN 978-1-4799-5775-0. S2CID 8368258. Archived from the original on 2024-04-14. Retrieved 2023-07-22.
F.C. Garcia-Lopez, M. Garcia-Torres, B. Melian, J.A. Moreno-Perez, J.M. Moreno-Vega. Solving Feature Subset Selection Problem by a Hybrid Metaheuristic. In First International Workshop on Hybrid Metaheuristics, pp. 59–68, 2004.
Akaike, H. (1985), "Prediction and entropy", in Atkinson, A. C.; Fienberg, S. E. (eds.), A Celebration of Statistics (PDF), Springer, pp. 1–24, archived (PDF) from the original on August 30, 2019.
T. M. Phuong, Z. Lin et R. B. Altman. Choosing SNPs using feature selection. Archived 2016-09-13 at the Wayback Machine Proceedings / IEEE Computational Systems Bioinformatics Conference, CSB. IEEE Computational Systems Bioinformatics Conference, pages 301-309, 2005. PMID 16447987.
E. Alba, J. Garia-Nieto, L. Jourdan et E.-G. Talbi. Gene Selection in Cancer Classification using PSO-SVM and GA-SVM Hybrid Algorithms. Archived 2016-08-18 at the Wayback Machine Congress on Evolutionary Computation, Singapore: Singapore (2007), 2007
Liu et al., Submodular feature selection for high-dimensional acoustic score spaces Archived 2015-10-17 at the Wayback Machine
Zheng et al., Submodular Attribute Selection for Action Recognition in Video Archived 2015-11-18 at the Wayback Machine

wiley.com (Global: 222^nd place; English: 297^th place)

aiche.onlinelibrary.wiley.com

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks". AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209. ISSN 1547-5905.
Kratsios, Anastasis; Hyndman, Cody (2021). "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation". Journal of Machine Learning Research. 22 (92): 1–51. ISSN 1533-7928.
Yarotsky, Dmitry (2021-04-30). "Universal Approximations of Invariant Maps by Neural Networks". Constructive Approximation. 55: 407–474. arXiv:1804.10306. doi:10.1007/s00365-021-09546-1. ISSN 1432-0940. S2CID 13745401.
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging and Vision. 46 (1): 103–120. Bibcode:2013JMIV...46..103H. doi:10.1007/s10851-012-0372-9. ISSN 1573-7683. S2CID 8501814.
Soufan, Othman; Kleftogiannis, Dimitrios; Kalnis, Panos; Bajic, Vladimir B. (2015-02-26). "DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm". PLOS ONE. 10 (2): e0117988. Bibcode:2015PLoSO..1017988S. doi:10.1371/journal.pone.0117988. ISSN 1932-6203. PMC 4342225. PMID 25719748.{{cite journal}}: CS1 maint: article number as page number (link)

Feature selection (English Wikipedia)

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pdfs.semanticscholar.org

springer.com (Global: 274th place; English: 309th place)

link.springer.com

stanford.edu (Global: 179th place; English: 183rd place)

htsnp.stanford.edu

ai.stanford.edu

surdeanu.info (Global: low place; English: low place)

uma.es (Global: low place; English: low place)

neo.lcc.uma.es

uniba.it (Global: low place; English: low place)

di.uniba.it

unimelb.edu.au (Global: 3,221st place; English: 2,222nd place)

people.eng.unimelb.edu.au

univ-angers.fr (Global: low place; English: low place)

info.univ-angers.fr

usc.edu (Global: 1,077th place; English: 761st place)

www-bcf.usc.edu

utwente.nl (Global: low place; English: 8,900th place)

ris.utwente.nl

waikato.ac.nz (Global: low place; English: low place)

cs.waikato.ac.nz

washington.edu (Global: 1,067th place; English: 749th place)

melodi.ee.washington.edu

web.archive.org (Global: 1st place; English: 1st place)

wiley.com (Global: 222nd place; English: 297th place)

aiche.onlinelibrary.wiley.com

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

aaai.org (Global: 9,352^nd place; English: 5,696^th place)

acm.org (Global: 1,185^th place; English: 840^th place)

archives-ouvertes.fr (Global: 1,031^st place; English: 879^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

books.google.com (Global: 3^rd place; English: 3^rd place)

doi.org (Global: 2^nd place; English: 2^nd place)

dtic.mil (Global: 833^rd place; English: 567^th place)

handle.net (Global: 102^nd place; English: 76^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

mit.edu (Global: 415^th place; English: 327^th place)

nih.gov (Global: 4^th place; English: 4^th place)

nips.cc (Global: low place; English: 7,050^th place)

psu.edu (Global: 207^th place; English: 136^th place)

r-project.org (Global: 7,871^st place; English: 5,225^th place)

researchgate.net (Global: 120^th place; English: 125^th place)

sciencedirect.com (Global: 149^th place; English: 178^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

springer.com (Global: 274^th place; English: 309^th place)

stanford.edu (Global: 179^th place; English: 183^rd place)

unimelb.edu.au (Global: 3,221^st place; English: 2,222^nd place)

usc.edu (Global: 1,077^th place; English: 761^st place)

utwente.nl (Global: low place; English: 8,900^th place)

washington.edu (Global: 1,067^th place; English: 749^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

wiley.com (Global: 222^nd place; English: 297^th place)

worldcat.org (Global: 5^th place; English: 5^th place)