{"id":"https://openalex.org/W4383428082","doi":"https://doi.org/10.1109/tnnls.2023.3290203","title":"Interpretability Diversity for Decision-Tree-Initialized Dendritic Neuron Model Ensemble","display_name":"Interpretability Diversity for Decision-Tree-Initialized Dendritic Neuron Model Ensemble","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4383428082","doi":"https://doi.org/10.1109/tnnls.2023.3290203","pmid":"https://pubmed.ncbi.nlm.nih.gov/37410644"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3290203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3290203","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101606988","display_name":"Xudong Luo","orcid":"https://orcid.org/0000-0002-3650-8450"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]},{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Luo","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China","School of Computer Science and Engineering, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600271","display_name":"Long Ye","orcid":"https://orcid.org/0000-0002-3562-5612"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Ye","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774446","display_name":"Xiaolan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I164946172","display_name":"Hengshui University","ror":"https://ror.org/03xvjtz09","country_code":"CN","type":"education","lineage":["https://openalex.org/I164946172"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolan Liu","raw_affiliation_strings":["College of Electronics and Information Engineering, Hengshui University, Hengshui, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Hengshui University, Hengshui, China","institution_ids":["https://openalex.org/I164946172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070076146","display_name":"Xiaohao Wen","orcid":"https://orcid.org/0000-0003-4368-1443"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Xiaohao Wen","raw_affiliation_strings":["Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, China","Institute of Systems Engineering, Macau University of Science and Technology, Macau, China"],"affiliations":[{"raw_affiliation_string":"Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Institute of Systems Engineering, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengchu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114378014","display_name":"Qin Zhang","orcid":"https://orcid.org/0009-0001-0205-6986"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zhang","raw_affiliation_strings":["Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China","Ministry of Education, Key Laboratory of Media Audio and Video, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Media Audio and Video, Ministry of Education, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Media Audio and Video, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101606988"],"corresponding_institution_ids":["https://openalex.org/I29739308","https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":2.8594,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92455728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"11","first_page":"15896","last_page":"15909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983999729156494,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9912999868392944,"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":0.9500166773796082},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.7043581604957581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697927117347717},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6431290507316589},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6184719800949097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999846458435059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5999489426612854},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5975335836410522},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47918784618377686},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.44976550340652466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33578038215637207},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.3299875259399414}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9500166773796082},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7043581604957581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697927117347717},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6431290507316589},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6184719800949097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999846458435059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5999489426612854},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5975335836410522},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47918784618377686},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.44976550340652466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33578038215637207},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.3299875259399414},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3290203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3290203","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37410644","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37410644","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G104419513","display_name":null,"funder_award_id":"61971383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2070222624","display_name":null,"funder_award_id":"CUC22JG001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8539713623","display_name":null,"funder_award_id":"62263002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1496548516","https://openalex.org/W1552624648","https://openalex.org/W1580948147","https://openalex.org/W1594031697","https://openalex.org/W1792666317","https://openalex.org/W1892221894","https://openalex.org/W1974207438","https://openalex.org/W1977632372","https://openalex.org/W1988790447","https://openalex.org/W2020817186","https://openalex.org/W2046084401","https://openalex.org/W2046995465","https://openalex.org/W2049861803","https://openalex.org/W2058307353","https://openalex.org/W2061119986","https://openalex.org/W2070866049","https://openalex.org/W2073792037","https://openalex.org/W2076118331","https://openalex.org/W2082357899","https://openalex.org/W2084812512","https://openalex.org/W2085281262","https://openalex.org/W2090546075","https://openalex.org/W2100128988","https://openalex.org/W2103346566","https://openalex.org/W2104664243","https://openalex.org/W2112542343","https://openalex.org/W2113242816","https://openalex.org/W2115629999","https://openalex.org/W2127082287","https://openalex.org/W2135293965","https://openalex.org/W2145833756","https://openalex.org/W2156773695","https://openalex.org/W2158143121","https://openalex.org/W2169139688","https://openalex.org/W2295652899","https://openalex.org/W2402395425","https://openalex.org/W2531607313","https://openalex.org/W2555678787","https://openalex.org/W2698793396","https://openalex.org/W2739349903","https://openalex.org/W2787680366","https://openalex.org/W2792725260","https://openalex.org/W2793781565","https://openalex.org/W2829536470","https://openalex.org/W2888351819","https://openalex.org/W2904593690","https://openalex.org/W2923467929","https://openalex.org/W2928048063","https://openalex.org/W2962772482","https://openalex.org/W2964469513","https://openalex.org/W2965160800","https://openalex.org/W2966922539","https://openalex.org/W2968060152","https://openalex.org/W2988244882","https://openalex.org/W2988571238","https://openalex.org/W2997546679","https://openalex.org/W2998830881","https://openalex.org/W3012947152","https://openalex.org/W3026986712","https://openalex.org/W3127907513","https://openalex.org/W3136451693","https://openalex.org/W3157429963","https://openalex.org/W3196700921","https://openalex.org/W3199469541","https://openalex.org/W3205959825","https://openalex.org/W4206231233","https://openalex.org/W4212883601","https://openalex.org/W4232478844","https://openalex.org/W4236137412","https://openalex.org/W4241005218","https://openalex.org/W4245608963","https://openalex.org/W4256538166","https://openalex.org/W4298061300","https://openalex.org/W4400762160","https://openalex.org/W6631129480","https://openalex.org/W6633883679","https://openalex.org/W6676018222","https://openalex.org/W6679154154","https://openalex.org/W6679322618","https://openalex.org/W6679937618","https://openalex.org/W6737947904","https://openalex.org/W6748218292","https://openalex.org/W6766500566","https://openalex.org/W6948174303"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2968660735","https://openalex.org/W2245276335","https://openalex.org/W1760344465","https://openalex.org/W1985828740","https://openalex.org/W4205397888","https://openalex.org/W3094789558","https://openalex.org/W4388700830"],"abstract_inverted_index":{"To":[0,82],"construct":[1],"a":[2,29,45,90,97],"strong":[3],"classifier":[4,47,134],"ensemble,":[5],"base":[6,77,98],"classifiers":[7],"should":[8],"be":[9,80],"accurate":[10],"and":[11,22,67,127],"diverse.":[12],"However,":[13],"there":[14],"is":[15,53,58,145],"no":[16],"uniform":[17],"standard":[18],"for":[19,64,100],"the":[20,36,72,84,114,150],"definition":[21],"measurement":[23,66],"of":[24,38,125,149],"diversity.":[25],"This":[26],"work":[27],"proposes":[28,44],"learners'":[30],"interpretability":[31,57],"diversity":[32,37,65],"(LID)":[33],"to":[34,106,131],"measure":[35],"interpretable":[39,76],"machine":[40],"learners.":[41],"It":[42],"then":[43],"LID-based":[46],"ensemble.":[48,152],"Such":[49],"an":[50,61,146],"ensemble":[51,101,116],"concept":[52],"novel":[54],"because:":[55],"1)":[56],"used":[59],"as":[60,96],"important":[62],"basis":[63],"2)":[68],"before":[69],"its":[70],"training,":[71],"difference":[73],"between":[74],"two":[75],"learners":[78],"can":[79],"measured.":[81],"verify":[83],"proposed":[85],"method's":[86],"effectiveness,":[87],"we":[88],"choose":[89],"decision-tree-initialized":[91],"dendritic":[92,138],"neuron":[93,139],"model":[94,140],"(DDNM)":[95],"learner":[99],"design.":[102],"We":[103],"apply":[104],"it":[105],"seven":[107],"benchmark":[108],"datasets.":[109],"The":[110],"results":[111],"show":[112],"that":[113],"DDNM":[115,151],"combined":[117,142],"with":[118,143],"LID":[119,144],"obtains":[120],"superior":[121],"performance":[122],"in":[123],"terms":[124],"accuracy":[126],"computational":[128],"efficiency":[129],"compared":[130],"some":[132],"popular":[133],"ensembles.":[135],"A":[136],"random-forest-initialized":[137],"(RDNM)":[141],"outstanding":[147],"representative":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
