{"id":"https://openalex.org/W4399414413","doi":"https://doi.org/10.1093/jigpal/jzae062","title":"Embedded feature selection for neural networks via learnable drop layer","display_name":"Embedded feature selection for neural networks via learnable drop layer","publication_year":2024,"publication_date":"2024-06-07","ids":{"openalex":"https://openalex.org/W4399414413","doi":"https://doi.org/10.1093/jigpal/jzae062"},"language":"en","primary_location":{"id":"doi:10.1093/jigpal/jzae062","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jigpal/jzae062","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1093/jigpal/jzae062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006954487","display_name":"M. J. Jim\u00e9nez-Navarro","orcid":"https://orcid.org/0000-0001-8514-4182"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M J Jim\u00c9nez-Navarro","raw_affiliation_strings":["Department of Computer Languages and Systems, University of Seville , ES-41012 Seville,","Department of Computer Languages and Systems, University of Seville , ES-41012 Seville, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Languages and Systems, University of Seville , ES-41012 Seville,","institution_ids":["https://openalex.org/I79238269"]},{"raw_affiliation_string":"Department of Computer Languages and Systems, University of Seville , ES-41012 Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028880020","display_name":"M. Mart\u00ednez-Ballesteros","orcid":"https://orcid.org/0000-0003-3160-7414"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M Mart\u00cdnez-Ballesteros","raw_affiliation_strings":["Department of Computer Languages and Systems, University of Seville , ES-41012 Seville,","Department of Computer Languages and Systems, University of Seville , ES-41012 Seville, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Languages and Systems, University of Seville , ES-41012 Seville,","institution_ids":["https://openalex.org/I79238269"]},{"raw_affiliation_string":"Department of Computer Languages and Systems, University of Seville , ES-41012 Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090301247","display_name":"Isabel Sof\u00eda Brito","orcid":"https://orcid.org/0000-0002-7556-4367"},"institutions":[{"id":"https://openalex.org/I2802390120","display_name":"Instituto Polit\u00e9cnico de Beja","ror":"https://ror.org/00t9n0h58","country_code":"PT","type":"education","lineage":["https://openalex.org/I2802390120"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"I S Brito","raw_affiliation_strings":["Department of Engineering, Polytechnic Institute of Beja ,","Department of Engineering, Polytechnic Institute of Beja , Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Polytechnic Institute of Beja ,","institution_ids":["https://openalex.org/I2802390120"]},{"raw_affiliation_string":"Department of Engineering, Polytechnic Institute of Beja , Portugal","institution_ids":["https://openalex.org/I2802390120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015132867","display_name":"Francisco Mart\u00ednez\u2010\u00c1lvarez","orcid":"https://orcid.org/0000-0002-6309-1785"},"institutions":[{"id":"https://openalex.org/I95013407","display_name":"Universidad Pablo de Olavide","ror":"https://ror.org/02z749649","country_code":"ES","type":"education","lineage":["https://openalex.org/I95013407"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F Mart\u00cdnez-\u00c1lvarez","raw_affiliation_strings":["Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville,","Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville,","institution_ids":["https://openalex.org/I95013407"]},{"raw_affiliation_string":"Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville, Spain","institution_ids":["https://openalex.org/I95013407"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016492030","display_name":"G. Asencio\u2013Cort\u00e9s","orcid":"https://orcid.org/0000-0003-0874-1826"},"institutions":[{"id":"https://openalex.org/I95013407","display_name":"Universidad Pablo de Olavide","ror":"https://ror.org/02z749649","country_code":"ES","type":"education","lineage":["https://openalex.org/I95013407"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G Asencio-Cort\u00c9s","raw_affiliation_strings":["Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science & Big Data Lab, Pablo de Olavide University , ES-41013 Seville, Spain","institution_ids":["https://openalex.org/I95013407"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":{"value":4151,"currency":"USD","value_usd":4151},"fwci":2.2228,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89130912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9941999912261963,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9891999959945679,"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/interpretability","display_name":"Interpretability","score":0.8435670137405396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8351362943649292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7535437345504761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7019864320755005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810221672058105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5852819681167603},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5784344673156738},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5473248958587646},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5125860571861267},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49033284187316895},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4762340188026428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3861077129840851},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3784606456756592}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8435670137405396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8351362943649292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535437345504761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7019864320755005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810221672058105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5852819681167603},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5784344673156738},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5473248958587646},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5125860571861267},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49033284187316895},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4762340188026428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3861077129840851},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3784606456756592},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1093/jigpal/jzae062","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jigpal/jzae062","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.ipbeja.pt:20.500.12207/7314","is_oa":true,"landing_page_url":"https://repositorio.ipbeja.pt/handle/20.500.12207/7314","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1093/jigpal/jzae062","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jigpal/jzae062","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W66443818","https://openalex.org/W104441265","https://openalex.org/W1944586112","https://openalex.org/W2006252838","https://openalex.org/W2046904226","https://openalex.org/W2083528810","https://openalex.org/W2114071902","https://openalex.org/W2130486630","https://openalex.org/W2142830469","https://openalex.org/W2475334473","https://openalex.org/W2506743715","https://openalex.org/W2888431710","https://openalex.org/W2909862814","https://openalex.org/W2963798770","https://openalex.org/W2978725006","https://openalex.org/W3029517552","https://openalex.org/W4225145858","https://openalex.org/W4287553285","https://openalex.org/W4288045875","https://openalex.org/W4296901416","https://openalex.org/W4304208779","https://openalex.org/W4311484994","https://openalex.org/W4313204201","https://openalex.org/W4378627987","https://openalex.org/W6633301734","https://openalex.org/W6787861700"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Abstract":[0],"Feature":[1,41],"selection":[2,42,73,79,96,164,247],"is":[3,10,193,214],"a":[4,78,102,119,150,162,167,175],"widely":[5],"studied":[6],"technique":[7],"whose":[8],"goal":[9],"to":[11,56,133,160,243],"reduce":[12],"the":[13,16,53,58,70,81,86,99,106,111,184,196,199,205],"dimensionality":[14],"of":[15,33,37,80,85,101,110,118,186,198],"problem":[17],"by":[18],"removing":[19],"irrelevant":[20,187],"features.":[21,188],"It":[22],"has":[23],"multiple":[24,138],"benefits,":[25],"such":[26,140,229],"as":[27,61,141,230],"improved":[28],"efficacy,":[29],"efficiency":[30,107],"and":[31,64,108,143,202,221,233,252],"interpretability":[32],"almost":[34],"any":[35,209],"type":[36],"machine":[38],"learning":[39],"model.":[40,87],"techniques":[43],"may":[44],"be":[45],"divided":[46],"into":[47],"three":[48,244],"main":[49],"categories,":[50],"depending":[51],"on":[52],"process":[54,165,207],"used":[55],"remove":[57],"features":[59,84],"known":[60],"Filter,":[62],"Wrapper":[63],"Embedded.":[65],"Embedded":[66],"methods":[67],"are":[68,115],"usually":[69],"preferred":[71],"feature":[72,95,126,156,163,246],"method":[74],"that":[75,97,121,152,182],"efficiently":[76],"obtains":[77],"most":[82],"relevant":[83],"However,":[88],"not":[89,123],"all":[90],"models":[91],"support":[92,124],"an":[93,116,147,154],"embedded":[94,125,155],"forces":[98],"use":[100],"different":[103,227,245],"method,":[104],"reducing":[105],"reliability":[109],"selection.":[112,127],"Neural":[113],"networks":[114,130,181],"example":[117],"model":[120,151],"does":[122],"As":[128],"neural":[129,180,200],"have":[131],"shown":[132],"provide":[134],"remarkable":[135,240],"results":[136,238],"in":[137,146],"scenarios":[139],"classification":[142,220],"regression,":[144],"sometimes":[145],"ensemble":[148],"with":[149,166,216,249],"includes":[153],"selection,":[157],"we":[158,173],"attempt":[159],"embed":[161],"general-purpose":[168,177],"methodology.":[169],"In":[170],"this":[171],"work,":[172],"propose":[174],"novel":[176],"layer":[178],"for":[179,219],"removes":[183],"influence":[185],"The":[189,237],"Feature-Aware":[190],"Drop":[191],"Layer":[192],"included":[194],"at":[195],"top":[197],"network":[201],"trained":[203],"during":[204],"backpropagation":[206],"without":[208],"additional":[210],"parameters.":[211],"Our":[212],"methodology":[213],"tested":[215],"17":[217],"datasets":[218],"regression":[222],"tasks,":[223],"including":[224],"data":[225],"from":[226],"fields":[228],"Health,":[231],"Economic":[232],"Environment,":[234],"among":[235],"others.":[236],"show":[239],"improvements":[241],"compared":[242],"approaches,":[248],"reliable,":[250],"efficient":[251],"effective":[253],"results.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
