{"id":"https://openalex.org/W4385852646","doi":"https://doi.org/10.1007/s10489-023-04878-w","title":"Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability","display_name":"Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4385852646","doi":"https://doi.org/10.1007/s10489-023-04878-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-04878-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10489-023-04878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04878-w.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04878-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052427765","display_name":"Weronika Borek-Marciniec","orcid":"https://orcid.org/0000-0003-2426-9541"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Weronika Borek-Marciniec","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspiaskiego 27, 50370, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-2426-9541","affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspiaskiego 27, 50370, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059369082","display_name":"Pawe\u0142 Ksieniewicz","orcid":"https://orcid.org/0000-0001-9578-8395"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Ksieniewicz","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspiaskiego 27, 50370, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-9578-8395","affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wyb. Wyspiaskiego 27, 50370, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052427765"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.1409,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56055456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"53","issue":"21","first_page":"26050","last_page":"26066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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":0.996999979019165,"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":0.9934999942779541,"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":0.8696620464324951},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6153359413146973},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5856568813323975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5680440068244934},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5541924238204956},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5418776273727417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395793914794922},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5380157828330994},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5364269614219666},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5266977548599243},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.47061043977737427},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4528034031391144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4504004716873169},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.43087872862815857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4119076728820801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4090866446495056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08695065975189209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8696620464324951},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6153359413146973},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5856568813323975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5680440068244934},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5541924238204956},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5418776273727417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395793914794922},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5380157828330994},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5364269614219666},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5266977548599243},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.47061043977737427},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4528034031391144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4504004716873169},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.43087872862815857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4119076728820801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4090866446495056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08695065975189209},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-023-04878-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10489-023-04878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04878-w.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-023-04878-w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10489-023-04878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04878-w.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323564","display_name":"Politechnika Wroc\u0142awska","ror":"https://ror.org/008fyn775"},{"id":"https://openalex.org/F4320337051","display_name":"Faculty of Information and Communication Technology, Mahidol University","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385852646.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2071128523","https://openalex.org/W2074912283","https://openalex.org/W2087016914","https://openalex.org/W2132025700","https://openalex.org/W2487770199","https://openalex.org/W2954848721","https://openalex.org/W2963156137","https://openalex.org/W2969625665","https://openalex.org/W2973136425","https://openalex.org/W3008071995","https://openalex.org/W3027472289","https://openalex.org/W3082548640","https://openalex.org/W3096655658","https://openalex.org/W3107973285","https://openalex.org/W3131860561","https://openalex.org/W3143320354","https://openalex.org/W3168997536","https://openalex.org/W3174086521","https://openalex.org/W3183838547","https://openalex.org/W3197433610","https://openalex.org/W3199446309","https://openalex.org/W3204818612","https://openalex.org/W4285499997","https://openalex.org/W4292761110","https://openalex.org/W4312898580","https://openalex.org/W6601760687"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W3162204513","https://openalex.org/W2561617217","https://openalex.org/W2371138613","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W2048963458","https://openalex.org/W106004901","https://openalex.org/W43109613","https://openalex.org/W2359952343"],"abstract_inverted_index":{"Abstract":[0],"Simple":[1],"neural":[2,74],"network":[3,75],"classification":[4],"tasks":[5],"are":[6,151],"based":[7,66],"on":[8,21,67,161],"performing":[9],"extraction":[10],"as":[11,98],"transformations":[12],"of":[13,19,36,60,71,92,148,154,169],"the":[14,27,33,41,61,68,72,90,115,123,135,152,155,167,170],"set":[15],"simultaneously":[16],"with":[17,138,166],"optimization":[18],"weights":[20],"individual":[22],"layers.":[23],"In":[24],"this":[25,149],"paper,":[26],"Representation":[28],"7":[29],"architecture":[30,137,157],"is":[31,38,65],"proposed,":[32],"primary":[34],"assumption":[35],"which":[37,52],"to":[39,55],"divide":[40],"inductive":[42],"procedure":[43],"into":[44,79],"separate":[45],"blocks":[46],"\u2013":[47,51,95,118,122],"transformation":[48],"and":[49,76,107,143,158,163,172,177],"decision":[50],"may":[53],"lead":[54],"a":[56,80,108],"better":[57,128],"generalization":[58],"ability":[59],"presented":[62],"model.":[63],"Architecture":[64],"processing":[69],"context":[70],"typical":[73],"unifies":[77],"datasets":[78,165],"shared,":[81],"generically":[82],"sampled":[83],"space.":[84],"It":[85],"can":[86],"be":[87],"applicable":[88],"in":[89,119],"case":[91],"difficult":[93],"problems":[94],"defined":[96],"not":[97],"imbalance":[99],"or":[100],"streaming":[101],"data":[102],"but":[103],"by":[104,133,175,178],"low-class":[105],"separability":[106],"high":[109],"dimensionality.":[110],"This":[111],"article":[112],"has":[113],"tested":[114],"hypothesis":[116],"that":[117],"such":[120],"conditions":[121],"proposed":[124],"method":[125],"could":[126],"achieve":[127],"results":[129],"than":[130],"reference":[131,179],"algorithms":[132],"comparing":[134],"R7":[136,176],"state-of-the-art":[139],"methods,":[140],"raw":[141],"mlp":[142],"Tabnet":[144],"architecture.":[145],"The":[146],"contributions":[147],"work":[150],"proposition":[153],"new":[156],"complete":[159],"experiments":[160],"synthetic":[162],"real":[164],"evaluation":[168],"quality":[171],"loss":[173],"achieved":[174],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
