{"id":"https://openalex.org/W2566916924","doi":"https://doi.org/10.1109/uemcon.2016.7777885","title":"System self-awareness towards deep learning and discovering high-value information","display_name":"System self-awareness towards deep learning and discovering high-value information","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566916924","doi":"https://doi.org/10.1109/uemcon.2016.7777885","mag":"2566916924"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2016.7777885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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/A5088018488","display_name":"Ying Zhao","orcid":"https://orcid.org/0000-0001-8350-4033"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Zhao","raw_affiliation_strings":["Information Sciences Department, Naval Postgraduate School, Monterey, CA 93943, USA"],"affiliations":[{"raw_affiliation_string":"Information Sciences Department, Naval Postgraduate School, Monterey, CA 93943, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029167025","display_name":"Charles Zhou","orcid":"https://orcid.org/0000-0001-9598-015X"},"institutions":[{"id":"https://openalex.org/I4210101395","display_name":"Quantum Intelligence (United States)","ror":"https://ror.org/015wxat58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210101395"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles C. Zhou","raw_affiliation_strings":["Quantum Intelligence, Inc., Monterey, CA 93943, USA"],"affiliations":[{"raw_affiliation_string":"Quantum Intelligence, Inc., Monterey, CA 93943, USA","institution_ids":["https://openalex.org/I4210101395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088018488"],"corresponding_institution_ids":["https://openalex.org/I35364215"],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61157136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9909999966621399,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9789999723434448,"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":0.7779812812805176},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6222737431526184},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5656874775886536},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.5473187565803528},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5057272911071777},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5018343925476074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4935053586959839},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3267880082130432},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2677032947540283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779812812805176},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6222737431526184},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5656874775886536},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.5473187565803528},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5057272911071777},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5018343925476074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4935053586959839},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3267880082130432},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2677032947540283},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2016.7777885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W84428182","https://openalex.org/W129887471","https://openalex.org/W170376876","https://openalex.org/W206359983","https://openalex.org/W1499669041","https://openalex.org/W1525595230","https://openalex.org/W1570947734","https://openalex.org/W1590388536","https://openalex.org/W1612003148","https://openalex.org/W1636244751","https://openalex.org/W1639032689","https://openalex.org/W1874740832","https://openalex.org/W1880262756","https://openalex.org/W1890963104","https://openalex.org/W1971421925","https://openalex.org/W2003458432","https://openalex.org/W2015953751","https://openalex.org/W2049633694","https://openalex.org/W2056944867","https://openalex.org/W2066636486","https://openalex.org/W2081580037","https://openalex.org/W2089458547","https://openalex.org/W2121863487","https://openalex.org/W2122922389","https://openalex.org/W2138621811","https://openalex.org/W2146948159","https://openalex.org/W2163180692","https://openalex.org/W2163694369","https://openalex.org/W2165874743","https://openalex.org/W2171374216","https://openalex.org/W2316231036","https://openalex.org/W2436766102","https://openalex.org/W3023540311","https://openalex.org/W3101913037","https://openalex.org/W3129711340","https://openalex.org/W4214717370","https://openalex.org/W4230382012","https://openalex.org/W4234910218","https://openalex.org/W4285719527","https://openalex.org/W4394635905","https://openalex.org/W6606936398","https://openalex.org/W6608371920","https://openalex.org/W6636440780","https://openalex.org/W6639619044","https://openalex.org/W6684097739","https://openalex.org/W6684578312","https://openalex.org/W6717733969","https://openalex.org/W6785421358","https://openalex.org/W7008182035"],"related_works":["https://openalex.org/W2384033143","https://openalex.org/W2366569016","https://openalex.org/W2169968158","https://openalex.org/W1999760390","https://openalex.org/W2086877241","https://openalex.org/W2521046503","https://openalex.org/W1989883077","https://openalex.org/W2086028161","https://openalex.org/W1974853862","https://openalex.org/W1560778146"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"show":[4],"a":[5,59,66,75,101],"System":[6,56],"Self-Awareness":[7,57],"concept":[8],"and":[9,18,25,63,74,92,98],"theory":[10],"that":[11],"can":[12,46],"be":[13,47,96],"used":[14],"to":[15,95],"discover":[16],"authoritative":[17],"popular":[19],"information":[20,27,32,45],"as":[21,23],"well":[22],"emerging":[24],"anomalous":[26],"when":[28],"traditional":[29],"connections":[30],"among":[31],"nodes":[33],"(e.g.,":[34],"hyperlinks":[35],"or":[36],"citations)":[37],"are":[38],"not":[39],"available.":[40],"The":[41,83],"different":[42],"categories":[43],"of":[44,85],"all":[48],"high-value":[49],"depending":[50],"on":[51],"the":[52,86],"application":[53],"requirements.":[54],"A":[55],"is":[58],"data-driven":[60],"framework,":[61],"modeled":[62],"measured":[64],"using":[65],"recursive":[67],"distributed":[68],"infrastructure":[69],"named":[70,79],"Collaborative":[71],"Learning":[72,77,91],"Agent":[73],"Deep":[76,89],"method":[78],"Lexical":[80],"Link":[81],"Analysis.":[82],"combination":[84],"three":[87],"allows":[88],"Reinforcement":[90],"Swarm":[93],"Intelligence":[94],"extended":[97],"enhanced":[99],"in":[100],"completely":[102],"new":[103],"perspective.":[104]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
