{"id":"https://openalex.org/W3090151369","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207436","title":"Multi-Label classifier based on Kernel Random Vector Functional Link Network","display_name":"Multi-Label classifier based on Kernel Random Vector Functional Link Network","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090151369","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207436","mag":"3090151369"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5102825110","display_name":"Vikas Chauhan","orcid":"https://orcid.org/0000-0003-2089-0963"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vikas Chauhan","raw_affiliation_strings":["Indian Institute of Technology,Discipline of Computer Science and Engineering,Indore,India","Discipline of Computer Science and Engineering, Indian Institute of Technology, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Discipline of Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Discipline of Computer Science and Engineering, Indian Institute of Technology, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015363446","display_name":"Aruna Tiwari","orcid":"https://orcid.org/0000-0002-0394-0327"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aruna Tiwari","raw_affiliation_strings":["Indian Institute of Technology,Discipline of Computer Science and Engineering,Indore,India","Discipline of Computer Science and Engineering, Indian Institute of Technology, Indore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Discipline of Computer Science and Engineering,Indore,India","institution_ids":["https://openalex.org/I64295750"]},{"raw_affiliation_string":"Discipline of Computer Science and Engineering, Indian Institute of Technology, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014808650","display_name":"Shivvrat Arya","orcid":"https://orcid.org/0000-0002-9727-2533"},"institutions":[{"id":"https://openalex.org/I87573096","display_name":"University of North Texas at Dallas","ror":"https://ror.org/01n51v443","country_code":"US","type":"education","lineage":["https://openalex.org/I87573096"]},{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivvrat Arya","raw_affiliation_strings":["The University of Texas at Dallas,Department of Computer Science and Engineering,Dallas,USA","Department of Computer Science and Engineering, The University of Texas at Dallas, Dallas, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas,Department of Computer Science and Engineering,Dallas,USA","institution_ids":["https://openalex.org/I87573096","https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The University of Texas at Dallas, Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102825110"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78638851,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9923999905586243,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9760000109672546,"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/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.7495404481887817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324755787849426},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7005254030227661},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6396342515945435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6278280019760132},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5625393390655518},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45352253317832947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44912293553352356},{"id":"https://openalex.org/keywords/multivariate-random-variable","display_name":"Multivariate random variable","score":0.4149824380874634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17697519063949585},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.15427321195602417},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.1032862663269043}],"concepts":[{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.7495404481887817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324755787849426},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7005254030227661},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6396342515945435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6278280019760132},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5625393390655518},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45352253317832947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44912293553352356},{"id":"https://openalex.org/C138405894","wikidata":"https://www.wikidata.org/wiki/Q3179949","display_name":"Multivariate random variable","level":3,"score":0.4149824380874634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17697519063949585},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.15427321195602417},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.1032862663269043},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":20,"referenced_works":["https://openalex.org/W1524416683","https://openalex.org/W1565746575","https://openalex.org/W1780149461","https://openalex.org/W1953606363","https://openalex.org/W2053463056","https://openalex.org/W2071106922","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2119466907","https://openalex.org/W2123223828","https://openalex.org/W2129414564","https://openalex.org/W2138383519","https://openalex.org/W2156935079","https://openalex.org/W2612651689","https://openalex.org/W2727059890","https://openalex.org/W2963593336","https://openalex.org/W6631445940","https://openalex.org/W6637972249","https://openalex.org/W6677758222","https://openalex.org/W6679166005"],"related_works":["https://openalex.org/W3010926782","https://openalex.org/W2770176672","https://openalex.org/W1603142807","https://openalex.org/W2040517289","https://openalex.org/W1983274264","https://openalex.org/W2159579247","https://openalex.org/W4386941030","https://openalex.org/W4300648397","https://openalex.org/W4322614778","https://openalex.org/W2027513847"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,70],"kernelized":[4,71],"version":[5],"of":[6,26,44,58],"the":[7,27,41,56,61,102],"random":[8,72],"vector":[9,73],"functional":[10,74],"link":[11,75],"network":[12,76],"is":[13,31,67],"proposed":[14,98],"for":[15,81],"multi-label":[16,82,90,104],"classification.":[17],"This":[18],"classifier":[19,99],"uses":[20],"pseudoinverse":[21,30],"to":[22,39,54,77],"find":[23],"output":[24],"weights":[25],"network.":[28,42],"As":[29],"non-iterative":[32],"in":[33,60],"nature,":[34],"it":[35,47,79],"requires":[36],"less":[37],"fine-tuning":[38],"train":[40],"Kernelization":[43],"RVFL":[45],"makes":[46],"robust":[48],"and":[49,94],"stable":[50],"as":[51],"no":[52],"need":[53],"tune":[55],"number":[57],"neuron":[59],"enhancement":[62],"layer.":[63],"A":[64],"threshold":[65],"function":[66],"used":[68],"with":[69],"make":[78],"suitable":[80],"learning":[83],"problems.":[84],"Experiments":[85],"performed":[86],"on":[87],"three":[88],"benchmark":[89],"datasets":[91],"bibtex,":[92],"emotions,":[93],"scene":[95],"shows":[96],"that":[97],"outperforms":[100],"various":[101],"existing":[103],"classifiers.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
