{"id":"https://openalex.org/W2554446914","doi":"https://doi.org/10.1109/ijcnn.2016.7727221","title":"Speeding up feature selection: A deep-inspired network pruning algorithm","display_name":"Speeding up feature selection: A deep-inspired network pruning algorithm","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2554446914","doi":"https://doi.org/10.1109/ijcnn.2016.7727221","mag":"2554446914"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5102835365","display_name":"Andreas Antoniades","orcid":"https://orcid.org/0000-0002-4144-3057"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andreas Antoniades","raw_affiliation_strings":["Department of Computer Science, University of Surrey, Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Surrey, Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052748715","display_name":"Clive Cheong Took","orcid":"https://orcid.org/0000-0001-6937-2329"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Clive Cheong Took","raw_affiliation_strings":["Department of Computer Science, University of Surrey, Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Surrey, Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102835365"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":1.2852,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87392128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333453893661499},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5586555004119873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515347719192505},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5501478910446167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5325058698654175},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49715283513069153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4898326098918915},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.48409759998321533},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4813552498817444},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45856842398643494},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4540865421295166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44824063777923584},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44051626324653625},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4276679456233978},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42314887046813965},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41811883449554443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333453893661499},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5586555004119873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515347719192505},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5501478910446167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5325058698654175},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49715283513069153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4898326098918915},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.48409759998321533},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4813552498817444},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45856842398643494},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4540865421295166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44824063777923584},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44051626324653625},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4276679456233978},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42314887046813965},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41811883449554443},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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":33,"referenced_works":["https://openalex.org/W117096852","https://openalex.org/W1541145887","https://openalex.org/W1623076851","https://openalex.org/W1667249920","https://openalex.org/W1727290854","https://openalex.org/W1976990135","https://openalex.org/W2017337590","https://openalex.org/W2077100158","https://openalex.org/W2090091537","https://openalex.org/W2100253618","https://openalex.org/W2100495367","https://openalex.org/W2104836915","https://openalex.org/W2112796928","https://openalex.org/W2118047185","https://openalex.org/W2123060977","https://openalex.org/W2135046866","https://openalex.org/W2135458935","https://openalex.org/W2143426320","https://openalex.org/W2152175008","https://openalex.org/W2154036191","https://openalex.org/W2154560360","https://openalex.org/W2162724220","https://openalex.org/W2163922914","https://openalex.org/W2998216295","https://openalex.org/W3002534707","https://openalex.org/W4285719527","https://openalex.org/W6604803494","https://openalex.org/W6632481002","https://openalex.org/W6669486008","https://openalex.org/W6675407435","https://openalex.org/W6677737529","https://openalex.org/W6684088912","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W4256576576","https://openalex.org/W3097449145","https://openalex.org/W3090384609","https://openalex.org/W2561617217","https://openalex.org/W3194013178","https://openalex.org/W2025378473","https://openalex.org/W2373300491","https://openalex.org/W4249086404","https://openalex.org/W2395294869"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,27,34,39,72,80,85,88,106,114],"high-dimensionality":[3],"of":[4,30,37,46,105,116],"big":[5],"data,":[6],"numerous":[7],"iterative":[8,28],"algorithms":[9,32],"have":[10],"been":[11],"introduced":[12],"including":[13],"least":[14],"absolute":[15],"shrinkage":[16],"selection":[17,69],"operator":[18],"(Lasso)":[19],"and":[20,87],"iteratively":[21],"sure":[22],"independent":[23],"screening":[24],"(ISIS).":[25],"However,":[26],"nature":[29],"these":[31],"renders":[33],"computational":[35,107],"cost":[36],"retraining":[38],"learning":[40],"model":[41,73],"impractical.":[42],"We":[43],"take":[44],"advantage":[45,115],"this":[47],"key":[48],"observation":[49],"to":[50,112],"propose":[51],"a":[52,102],"novel":[53],"non-iterative":[54],"algorithm":[55],"inspired":[56],"by":[57,70,78],"deep":[58],"neural":[59],"network":[60],"input":[61,86],"reconstruction.":[62],"Our":[63],"proposed":[64],"technique":[65],"provides":[66],"faster":[67],"feature":[68],"training":[71],"once.":[74],"This":[75],"is":[76,109],"achieved":[77],"exploiting":[79],"cross":[81],"entropy":[82],"error":[83],"between":[84],"estimates.":[89],"Simulation":[90],"studies":[91],"support":[92],"our":[93,117],"approach":[94],"on":[95],"several":[96],"real":[97],"world":[98],"datasets.":[99],"For":[100],"rigor,":[101],"comparative":[103],"analysis":[104],"complexity":[108],"also":[110],"provided":[111],"assert":[113],"approach.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
