{"id":"https://openalex.org/W2977298417","doi":"https://doi.org/10.1109/ijcnn.2019.8852156","title":"Dimensionality Reduction in Multilabel Classification with Neural Networks","display_name":"Dimensionality Reduction in Multilabel Classification with Neural Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977298417","doi":"https://doi.org/10.1109/ijcnn.2019.8852156","mag":"2977298417"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5073814691","display_name":"Jacek Ma\u0144dziuk","orcid":"https://orcid.org/0000-0003-0947-028X"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jacek Mandziuk","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076496438","display_name":"Adam \u017bychowski","orcid":"https://orcid.org/0000-0003-0026-5183"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Zychowski","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073814691"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80596394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6634138822555542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517359018325806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6476302146911621},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6366509795188904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6137229800224304},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5848360061645508},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5549879670143127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5396601557731628},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5074791312217712},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4969692528247833},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4432796239852905},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4430769979953766},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4385930895805359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4250674843788147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1957775056362152}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6634138822555542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517359018325806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6476302146911621},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6366509795188904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6137229800224304},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5848360061645508},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5549879670143127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5396601557731628},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5074791312217712},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4969692528247833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4432796239852905},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4430769979953766},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4385930895805359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4250674843788147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1957775056362152},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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":51,"referenced_works":["https://openalex.org/W1524416683","https://openalex.org/W1526895711","https://openalex.org/W1549710828","https://openalex.org/W1603920809","https://openalex.org/W1679220824","https://openalex.org/W1756265184","https://openalex.org/W1870686808","https://openalex.org/W1876219421","https://openalex.org/W1953606363","https://openalex.org/W1970696760","https://openalex.org/W1972490990","https://openalex.org/W1974287593","https://openalex.org/W2001619934","https://openalex.org/W2025341678","https://openalex.org/W2028335839","https://openalex.org/W2052684427","https://openalex.org/W2066340877","https://openalex.org/W2114393161","https://openalex.org/W2116373735","https://openalex.org/W2118712128","https://openalex.org/W2119466907","https://openalex.org/W2136661605","https://openalex.org/W2137107481","https://openalex.org/W2145827727","https://openalex.org/W2146012283","https://openalex.org/W2147152072","https://openalex.org/W2153677638","https://openalex.org/W2156935079","https://openalex.org/W2164898213","https://openalex.org/W2165766797","https://openalex.org/W2166912588","https://openalex.org/W2341283081","https://openalex.org/W2582420763","https://openalex.org/W2620059752","https://openalex.org/W2735399860","https://openalex.org/W2739996966","https://openalex.org/W2776922069","https://openalex.org/W2962838801","https://openalex.org/W3008214279","https://openalex.org/W3140910462","https://openalex.org/W4237723258","https://openalex.org/W4292023222","https://openalex.org/W6632816258","https://openalex.org/W6637928144","https://openalex.org/W6650842192","https://openalex.org/W6677150689","https://openalex.org/W6677758222","https://openalex.org/W6680483772","https://openalex.org/W6683944004","https://openalex.org/W6749680723","https://openalex.org/W6792614579"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"A":[0],"new":[1],"neural":[2],"network":[3],"method":[4,28],"for":[5],"Dimensionality":[6],"Reduction":[7],"(DR)":[8],"of":[9,49,87,99,126],"the":[10,97],"input":[11,78],"feature":[12],"space":[13],"in":[14,24,35,60,93,112,139],"Multilabel":[15],"Classification":[16],"(MC)":[17],"problems":[18,129],"is":[19,63],"proposed":[20],"and":[21,71,130],"experimentally":[22],"evaluated":[23],"this":[25],"paper.":[26,117],"The":[27,118],"(abbreviated":[29],"as":[30,40,55,101,103],"TCART-MR)":[31],"can":[32],"be":[33],"used":[34],"two":[36],"possible":[37],"scenarios:":[38],"either":[39],"a":[41,56,113,124],"stand-alone":[42],"DR":[43,69,94],"pre-processing":[44],"phase,":[45],"preceding":[46],"subsequent":[47],"application":[48],"any":[50],"particular":[51],"MC":[52,58,74,109,115,119],"algorithm,":[53],"or":[54],"compact":[57],"approach":[59],"which":[61],"TCART-MR":[62,88],"applied":[64],"twice":[65],"-":[66],"first":[67],"to":[68,73,135],"task":[70],"then":[72],"problem":[75],"with":[76],"reduced":[77],"space.":[79],"Extensive":[80],"experimental":[81,137],"results":[82],"proved":[83],"statistically":[84],"relevant":[85],"advantage":[86],"over":[89,106],"three":[90],"state-of-the-art":[91,108],"approaches":[92],"domain":[95],"(in":[96],"context":[98],"MC),":[100],"well":[102],"its":[104],"superiority":[105],"10":[107],"algorithms":[110],"listed":[111],"recent":[114],"survey":[116],"tests":[120],"were":[121],"performed":[122],"on":[123],"set":[125],"9":[127],"benchmark":[128],"16":[131],"evaluation":[132],"measures":[133],"(leading":[134],"144":[136],"cases":[138],"total).":[140]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}