{"id":"https://openalex.org/W3000598794","doi":"https://doi.org/10.1109/icmlc48188.2019.8949230","title":"Developing the Interpretability of Deep Artificial Neural Network on Application Problems","display_name":"Developing the Interpretability of Deep Artificial Neural Network on Application Problems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3000598794","doi":"https://doi.org/10.1109/icmlc48188.2019.8949230","mag":"3000598794"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5039138898","display_name":"Sheng-An Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]},{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW","YE"],"is_corresponding":true,"raw_author_name":"Sheng-An Yang","raw_affiliation_strings":["Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, R. O. C","institution_ids":["https://openalex.org/I118692353","https://openalex.org/I4387154394","https://openalex.org/I89178830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087539432","display_name":"Meng-Han Yang","orcid":"https://orcid.org/0000-0002-7583-040X"},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]},{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW","YE"],"is_corresponding":false,"raw_author_name":"Meng-Han Yang","raw_affiliation_strings":["Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, R. O. C","institution_ids":["https://openalex.org/I118692353","https://openalex.org/I4387154394","https://openalex.org/I89178830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039138898"],"corresponding_institution_ids":["https://openalex.org/I118692353","https://openalex.org/I4387154394","https://openalex.org/I89178830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18249192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"471","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9980999827384949,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9980999827384949,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9969000220298767,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9518074989318848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173985242843628},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.646767258644104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134726405143738},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42908498644828796},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41363537311553955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40564876794815063}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9518074989318848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173985242843628},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.646767258644104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134726405143738},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42908498644828796},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41363537311553955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40564876794815063}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","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":17,"referenced_works":["https://openalex.org/W1504118426","https://openalex.org/W2121018841","https://openalex.org/W2137767404","https://openalex.org/W2174574259","https://openalex.org/W2195388612","https://openalex.org/W2395172628","https://openalex.org/W2518582440","https://openalex.org/W2557074642","https://openalex.org/W2657631929","https://openalex.org/W2745673637","https://openalex.org/W2753415590","https://openalex.org/W2766447205","https://openalex.org/W2919115771","https://openalex.org/W2953012738","https://openalex.org/W2985962305","https://openalex.org/W6685812147","https://openalex.org/W6743846187"],"related_works":["https://openalex.org/W1986582023","https://openalex.org/W2966829450","https://openalex.org/W4319993887","https://openalex.org/W4297789176","https://openalex.org/W4380075502","https://openalex.org/W2768346313","https://openalex.org/W2963249138","https://openalex.org/W2998594699","https://openalex.org/W4396882122","https://openalex.org/W3178016723"],"abstract_inverted_index":{"In":[0,153],"recent":[1,33],"years,":[2],"the":[3,29,77,83,92,98,102,107,113,126,142],"use":[4],"of":[5,26,63,94,118,135,156],"electronic":[6],"health":[7],"records":[8],"(EHR)":[9],"has":[10,21,164],"increased":[11],"dramatically.":[12],"Mining":[13],"hidden":[14],"knowledge":[15],"in":[16,66,167],"\u201cbig":[17],"data\u201d":[18],"from":[19,76],"EHR":[20,43],"become":[22],"a":[23],"subject":[24],"worthy":[25],"exploration.":[27],"On":[28],"other":[30],"hand,":[31],"many":[32],"applications":[34],"used":[35],"deep":[36,56,136,157],"artificial":[37],"neural":[38],"network":[39],"(ANN)":[40],"to":[41,60,132,139],"analyze":[42],"data":[44,109],"and":[45,58,69,159],"yielded":[46],"great":[47],"performance.":[48],"Accordingly,":[49],"this":[50,64,119,168],"study":[51,120],"developed":[52],"functional":[53],"models":[54],"using":[55,125],"ANN,":[57],"tried":[59],"validate":[61],"effectiveness":[62,155],"method":[65],"regression":[67,99],"analysis":[68],"classification":[70,114],"problem.":[71,115],"Based":[72],"on":[73,106,161],"datasets":[74],"downloaded":[75],"UC":[78],"Irvine":[79],"Machine":[80],"Learning":[81],"Repository,":[82],"output":[84],"mean":[85],"squared":[86],"error":[87],"value":[88],"0.840":[89],"was":[90,110,121],"within":[91],"range":[93],"one":[95],"variance":[96],"for":[97,112],"analysis.":[100,152],"Similarly,":[101],"prediction":[103],"accuracy":[104],"73.0%":[105],"testing":[108],"reported":[111],"Another":[116],"focus":[117],"identifying":[122],"critical":[123],"attributes":[124],"layer-wise":[127],"relevance":[128],"propagation":[129],"(LRP)":[130],"algorithm":[131],"improve":[133],"interpretability":[134],"ANN.":[137],"According":[138],"evaluation":[140],"outcomes,":[141],"identified":[143],"features":[144],"would":[145],"match":[146],"with":[147],"those":[148],"recognized":[149],"by":[150],"univariate":[151],"summary,":[154],"ANN":[158],"LRP":[160],"application":[162],"problems":[163],"been":[165],"validated":[166],"study.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}