{"id":"https://openalex.org/W3009263315","doi":"https://doi.org/10.1109/globecom38437.2019.9013448","title":"Visual Analysis of Deep Neural Networks for Device-Free Wireless Localization","display_name":"Visual Analysis of Deep Neural Networks for Device-Free Wireless Localization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009263315","doi":"https://doi.org/10.1109/globecom38437.2019.9013448","mag":"3009263315"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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/A5030033548","display_name":"Shing-Jiuan Liu","orcid":"https://orcid.org/0000-0002-6530-000X"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shing-Jiuan Liu","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052576795","display_name":"Ronald Y. Chang","orcid":"https://orcid.org/0000-0003-4620-6824"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ronald Y. Chang","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101887836","display_name":"Feng\u2010Tsun Chien","orcid":"https://orcid.org/0000-0002-1715-9961"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Feng-Tsun Chien","raw_affiliation_strings":["Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17053795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7969963550567627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.791283369064331},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6503397226333618},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5886533856391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5759996175765991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5547674894332886},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5330634713172913},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5300053358078003},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5294553637504578},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5256534814834595},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5215204358100891},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.438609778881073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41757601499557495},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15715771913528442},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11827048659324646}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7969963550567627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791283369064331},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6503397226333618},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5886533856391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5759996175765991},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5547674894332886},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5330634713172913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5300053358078003},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5294553637504578},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5256534814834595},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5215204358100891},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.438609778881073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41757601499557495},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15715771913528442},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11827048659324646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.1109/globecom38437.2019.9013448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1941817920","https://openalex.org/W1987971958","https://openalex.org/W2089695767","https://openalex.org/W2125384973","https://openalex.org/W2187089797","https://openalex.org/W2291859485","https://openalex.org/W2309512289","https://openalex.org/W2558891025","https://openalex.org/W2607176470","https://openalex.org/W2743415265","https://openalex.org/W2764026391","https://openalex.org/W2916637386","https://openalex.org/W2952979195"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Device-free":[0],"indoor":[1,127],"localization":[2,23,54],"is":[3],"a":[4,76,118],"key":[5],"enabling":[6],"technology":[7],"for":[8,117],"many":[9],"Internet":[10],"of":[11,42,63,121,124],"Things":[12],"(IoT)":[13],"applications.":[14,55],"Deep":[15],"neural":[16],"network":[17],"(DNN)-based":[18],"location":[19,65],"estimators":[20,66],"achieve":[21],"high-precision":[22],"performance":[24],"by":[25],"automatically":[26],"learning":[27],"discriminative":[28],"features":[29,98],"from":[30],"noisy":[31],"wireless":[32,53,126],"signals":[33],"without":[34],"much":[35],"human":[36],"intervention.":[37],"However,":[38],"the":[39,88,100,122],"inner":[40],"workings":[41],"DNN":[43,89,101],"are":[44],"not":[45,48],"transparent":[46],"and":[47,91,94,115],"adequately":[49],"understood":[50],"especially":[51],"in":[52,75],"In":[56],"this":[57],"paper,":[58],"we":[59],"conduct":[60],"visual":[61],"analyses":[62],"DNN-based":[64,125],"trained":[67],"with":[68],"Wi-Fi":[69],"channel":[70],"state":[71],"information":[72],"(CSI)":[73],"fingerprints":[74],"real-world":[77],"experiment.":[78],"We":[79],"address":[80],"such":[81],"questions":[82],"as":[83],"1)":[84],"how":[85],"well":[86],"has":[87,99],"learned":[90,102],"been":[92],"trained,":[93],"2)":[95],"what":[96],"critical":[97],"to":[103],"distinguish":[104],"different":[105],"classes,":[106],"via":[107],"visualization":[108],"techniques.":[109],"The":[110],"results":[111],"provide":[112],"plausible":[113],"explanations":[114],"allow":[116],"better":[119],"understanding":[120],"mechanism":[123],"localization.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}