Feature selection (English Wikipedia)

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

Last modified: 05:32:12, 16 August 2026 (UTC)

Ref.Un. Ref.Website

Global rank English rank

4342doi.org

2^nd place

2827nih.gov

5^th place

1414semanticscholar.org

15^th place

8^th place

1313adsabs.harvard.edu

14^th place

9^th place

109arxiv.org

49^th place

31^st place

87web.archive.org

1^st place

85jmlr.org

low place

77researchgate.net

96^th place

89^th place

55worldcat.org

4^th place

52acm.org

1,200^th place

821^st place

42mit.edu

476^th place

340^th place

33hdl.handle.net

66^th place

34^th place

32stanford.edu

194^th place

182^nd place

22springer.com

182^nd place

172^nd place

22psu.edu

299^th place

159^th place

22nips.cc

low place

21surdeanu.info

low place

21unimelb.edu.au

3,366^th place

2,021^st place

21r-project.org

low place

9,320^th place

21archives-ouvertes.fr

1,143^rd place

973^rd place

11usc.edu

1,432^nd place

908^th place

11wiley.com

150^th place

174^th place

11utwente.nl

low place

8,079^th place

11dtic.mil

934^th place

530^th place

11books.google.com

3^rd place

11penglab.com

low place

11waikato.ac.nz

low place

8,815^th place

11aaai.org

low place

6,393^rd place

11uma.es

low place

11univ-angers.fr

low place

11uniba.it

low place

11uw.edu

low place

6,999^th place

11sciencedirect.com

137^th place

146^th place

aaai.org (Global: low place; English: 6,393^rd 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: 1,200^th place; English: 821^st 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 978-1-4503-8351-6. 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.

adsabs.harvard.edu (Global: 14^th place; English: 9^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.
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.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) 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.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
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.

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd 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: 49^th place; English: 31^st 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.
Deng, Houtao; Runger, George (2012). "Feature Selection via Regularized Trees". arXiv:1201.1587 [cs.LG].
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 978-0-387-95364-9.

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.
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 978-1-60558-205-4. 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.
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 978-1-4503-8351-6. 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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) 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.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
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 22 April 2026). PMID 21491369.{{cite journal}}: CS1 maint: DOI inactive as of April 2026 (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: 934^th place; English: 530^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 from the original (PDF) on August 30, 2019.

hdl.handle.net (Global: 66^th place; English: 34^th place)

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.

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.
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.

mit.edu (Global: 476^th place; English: 340^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: 5^th place; English: 5^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.
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.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) 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.
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.
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.
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.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
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 22 April 2026). PMID 21491369.{{cite journal}}: CS1 maint: DOI inactive as of April 2026 (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.
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.
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.

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.
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.
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.
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: low 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.
Zheng et al., Submodular Attribute Selection for Action Recognition in Video Archived 2015-11-18 at the Wayback Machine

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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) Program

psu.edu (Global: 299^th place; English: 159^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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) 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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

r-project.org (Global: low place; English: 9,320^th place)

cran.r-project.org

RRF: Regularized Random Forest, R package on CRAN

researchgate.net (Global: 96^th place; English: 89^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.
Figueroa, Alejandro; Guenter Neumann (2013). Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering. AAAI.
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.
M. Garcia-Torres, F. Gomez-Vela, B. Melian, J.M. Moreno-Vega. High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach, Information Sciences, vol. 326, pp. 102-118, 2016.
Nguyen, H., Franke, K., Petrovic, S. (2010). "Towards a Generic Feature-Selection Measure for Intrusion Detection", In Proc. International Conference on Pattern Recognition (ICPR), Istanbul, Turkey.
Nguyen, Hai; Franke, Katrin; Petrovic, Slobodan (December 2009). "Optimizing a class of feature selection measures". Proceedings of the NIPS 2009 Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML). Vancouver, Canada.
C. Hans, A. Dobra et M. West. Shotgun stochastic search for 'large p' regression. Journal of the American Statistical Association, 2007.

sciencedirect.com (Global: 137^th place; English: 146^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: 15^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.
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.
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 978-1-60558-205-4. S2CID 609778.
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 978-1-4503-8351-6. S2CID 235770316.
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. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) 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: 182^nd place; English: 172^nd 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.

stanford.edu (Global: 194^th place; English: 182^nd 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: 3,366^th place; English: 2,021^st 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. ""

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: 1,432^nd place; English: 908^th place)

www-bcf.usc.edu

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani (2013). An Introduction to Statistical Learning. Springer. p. 204. Archived from the original on 2019-06-23. Retrieved 2016-01-20.

utwente.nl (Global: low place; English: 8,079^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.

uw.edu (Global: low place; English: 6,999^th place)

people.ece.uw.edu

Liu, Yuzong; Wei, Kai; Kirchhoff, Katrin; Song, Yisong; Bilmes, Jeff (2013). Submodular feature selection for high-dimensional acoustic score spaces (PDF). roc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing. Vancouver, Canada.

waikato.ac.nz (Global: low place; English: 8,815^th place)

cs.waikato.ac.nz

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

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

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani (2013). An Introduction to Statistical Learning. Springer. p. 204. Archived from the original on 2019-06-23. Retrieved 2016-01-20.
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 from the original (PDF) 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
Zheng et al., Submodular Attribute Selection for Action Recognition in Video Archived 2015-11-18 at the Wayback Machine

wiley.com (Global: 150^th place; English: 174^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: 4^th place; English: 4^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.

Feature selection (English Wikipedia)

aaai.org (Global: low place; English: 6,393rd place)

acm.org (Global: 1,200th place; English: 821st place)

dl.acm.org

adsabs.harvard.edu (Global: 14th place; English: 9th place)

ui.adsabs.harvard.edu

archives-ouvertes.fr (Global: 1,143rd place; English: 973rd place)

tel.archives-ouvertes.fr

arxiv.org (Global: 49th place; English: 31st place)

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

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

doi.org

dx.doi.org

dtic.mil (Global: 934th place; English: 530th place)

apps.dtic.mil

hdl.handle.net (Global: 66th place; English: 34th place)

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

mit.edu (Global: 476th place; English: 340th place)

jmlr.csail.mit.edu

nih.gov (Global: 5th place; English: 5th place)

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

nips.cc (Global: low place; English: low place)

papers.nips.cc

penglab.com (Global: low place; English: low place)

home.penglab.com

psu.edu (Global: 299th place; English: 159th place)

citeseerx.ist.psu.edu

r-project.org (Global: low place; English: 9,320th place)

cran.r-project.org

researchgate.net (Global: 96th place; English: 89th place)

sciencedirect.com (Global: 137th place; English: 146th place)

semanticscholar.org (Global: 15th place; English: 8th place)

api.semanticscholar.org

pdfs.semanticscholar.org

springer.com (Global: 182nd place; English: 172nd place)

link.springer.com

stanford.edu (Global: 194th place; English: 182nd 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: 3,366th place; English: 2,021st place)

people.eng.unimelb.edu.au

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

info.univ-angers.fr

usc.edu (Global: 1,432nd place; English: 908th place)

www-bcf.usc.edu

utwente.nl (Global: low place; English: 8,079th place)

ris.utwente.nl

uw.edu (Global: low place; English: 6,999th place)

people.ece.uw.edu

waikato.ac.nz (Global: low place; English: 8,815th place)

cs.waikato.ac.nz

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

wiley.com (Global: 150th place; English: 174th place)

aiche.onlinelibrary.wiley.com

worldcat.org (Global: 4th place; English: 4th place)

search.worldcat.org

aaai.org (Global: low place; English: 6,393^rd place)

acm.org (Global: 1,200^th place; English: 821^st place)

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd place)

arxiv.org (Global: 49^th place; English: 31^st 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: 934^th place; English: 530^th place)

hdl.handle.net (Global: 66^th place; English: 34^th place)

mit.edu (Global: 476^th place; English: 340^th place)

nih.gov (Global: 5^th place; English: 5^th place)

psu.edu (Global: 299^th place; English: 159^th place)

r-project.org (Global: low place; English: 9,320^th place)

researchgate.net (Global: 96^th place; English: 89^th place)

sciencedirect.com (Global: 137^th place; English: 146^th place)

semanticscholar.org (Global: 15^th place; English: 8^th place)

springer.com (Global: 182^nd place; English: 172^nd place)

stanford.edu (Global: 194^th place; English: 182^nd place)

unimelb.edu.au (Global: 3,366^th place; English: 2,021^st place)

usc.edu (Global: 1,432^nd place; English: 908^th place)

utwente.nl (Global: low place; English: 8,079^th place)

uw.edu (Global: low place; English: 6,999^th place)

waikato.ac.nz (Global: low place; English: 8,815^th place)

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

wiley.com (Global: 150^th place; English: 174^th place)

worldcat.org (Global: 4^th place; English: 4^th place)