{"id":"https://openalex.org/W3005509045","doi":"https://doi.org/10.23919/fruct48121.2019.8981498","title":"Modern Implementations of Feature Selection Algorithms and Their Perspectives","display_name":"Modern Implementations of Feature Selection Algorithms and Their Perspectives","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005509045","doi":"https://doi.org/10.23919/fruct48121.2019.8981498","mag":"3005509045"},"language":"en","primary_location":{"id":"doi:10.23919/fruct48121.2019.8981498","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48121.2019.8981498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088034651","display_name":"Nikita Pilnenskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Nikita Pilnenskiy","raw_affiliation_strings":["ITMO University, St.Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St.Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033493809","display_name":"Ivan Smetannikov","orcid":"https://orcid.org/0000-0003-3376-9468"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Smetannikov","raw_affiliation_strings":["ITMO University, St.Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St.Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088034651"],"corresponding_institution_ids":["https://openalex.org/I173089394"],"apc_list":null,"apc_paid":null,"fwci":0.2557,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.57153746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8938944339752197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8096166849136353},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7756607532501221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6722537279129028},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6630481481552124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6602350473403931},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5796906352043152},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5684831738471985},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4502241313457489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39699769020080566},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29844245314598083}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8938944339752197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8096166849136353},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7756607532501221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6722537279129028},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6630481481552124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6602350473403931},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5796906352043152},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5684831738471985},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4502241313457489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39699769020080566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29844245314598083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fruct48121.2019.8981498","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct48121.2019.8981498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1493357981","https://openalex.org/W1554944419","https://openalex.org/W1984514442","https://openalex.org/W1998029376","https://openalex.org/W2056168656","https://openalex.org/W2089898582","https://openalex.org/W2119387367","https://openalex.org/W2142594886","https://openalex.org/W2165250079","https://openalex.org/W2516938563","https://openalex.org/W2562618250","https://openalex.org/W2605516844","https://openalex.org/W2617337302","https://openalex.org/W2970763034","https://openalex.org/W2998216295","https://openalex.org/W3097993951","https://openalex.org/W4243072198","https://openalex.org/W4285719527","https://openalex.org/W4289236186","https://openalex.org/W6633435507","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W4214505573","https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W3008919350","https://openalex.org/W4295122168","https://openalex.org/W3155717344","https://openalex.org/W1770458422"],"abstract_inverted_index":{"In":[0,88],"the":[1,6,17,22,38,47,56,85],"last":[2],"decade,":[3],"due":[4],"to":[5,77],"growing":[7],"interest":[8],"in":[9,15,46,68],"neural":[10],"networks":[11],"and":[12,29,81,106,110,129,140],"machine":[13,30,43,135],"learning":[14,31,44,136],"general,":[16],"Python":[18,49,69,99,137],"programming":[19],"language":[20,24],"became":[21],"main":[23,57],"for":[25,62],"many":[26,41],"data":[27,60],"scientists":[28],"engineers.":[32],"This":[33],"rapid":[34],"growth":[35],"resulted":[36],"into":[37],"lack":[39],"of":[40,55,59,84,96],"key":[42],"algorithms":[45],"existing":[48,97],"libraries.":[50],"Feature":[51],"selection,":[52],"as":[53],"one":[54],"fields":[58],"preprocessing":[61],"high-dimensional,":[63],"was":[64],"not":[65],"covered":[66],"properly":[67],"language,":[70],"although":[71],"it":[72],"can":[73],"be":[74],"widely":[75],"used":[76],"improve":[78],"models":[79],"quality":[80],"solve":[82],"some":[83,124,141],"overfitting":[86],"problems.":[87],"this":[89],"paper":[90],"we":[91,121],"have":[92,122],"performed":[93],"a":[94],"review":[95],"open-source":[98,116],"feature":[100],"selection":[101],"libraries,":[102],"made":[103],"their":[104,108],"comparison":[105],"pointed":[107],"drawbacks":[109],"after":[111],"that":[112],"presented":[113],"our":[114],"own":[115],"ITMO":[117],"FS":[118],"library.":[119],"Moreover,":[120],"added":[123],"examples":[125],"on":[126],"its":[127],"usage":[128],"compatibility":[130],"with":[131],"most":[132],"popular":[133],"modern":[134],"library":[138],"scikit-learn":[139],"performance":[142],"tests.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
