{"id":"https://openalex.org/W4406459309","doi":"https://doi.org/10.1109/bigdata62323.2024.10825268","title":"ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System","display_name":"ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459309","doi":"https://doi.org/10.1109/bigdata62323.2024.10825268"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5020350278","display_name":"Rahul Pandey","orcid":"https://orcid.org/0000-0003-2748-0502"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rahul Pandey","raw_affiliation_strings":["George Mason University,Fairfax,VA,USA"],"affiliations":[{"raw_affiliation_string":"George Mason University,Fairfax,VA,USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019994221","display_name":"Ziwei Zhu","orcid":"https://orcid.org/0000-0002-3990-4774"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziwei Zhu","raw_affiliation_strings":["George Mason University,Fairfax,VA,USA"],"affiliations":[{"raw_affiliation_string":"George Mason University,Fairfax,VA,USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012073624","display_name":"Hemant Purohit","orcid":"https://orcid.org/0000-0002-4573-8450"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hemant Purohit","raw_affiliation_strings":["George Mason University,Fairfax,VA,USA"],"affiliations":[{"raw_affiliation_string":"George Mason University,Fairfax,VA,USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020350278"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23719719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1085","last_page":"1093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9864000082015991,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.795946478843689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890410423278809},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.6517564654350281},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5678146481513977},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.5068808197975159},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.45054587721824646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42433348298072815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37550026178359985},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.278409868478775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24714481830596924}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.795946478843689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890410423278809},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6517564654350281},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5678146481513977},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.5068808197975159},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.45054587721824646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42433348298072815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37550026178359985},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.278409868478775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24714481830596924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":38,"referenced_works":["https://openalex.org/W1599956645","https://openalex.org/W1608614953","https://openalex.org/W1965191725","https://openalex.org/W1982039810","https://openalex.org/W1998654733","https://openalex.org/W2033158377","https://openalex.org/W2064962363","https://openalex.org/W2076337359","https://openalex.org/W2099419573","https://openalex.org/W2124651849","https://openalex.org/W2471138382","https://openalex.org/W2493916176","https://openalex.org/W2606327720","https://openalex.org/W2810299612","https://openalex.org/W2891896107","https://openalex.org/W2958942187","https://openalex.org/W2975429091","https://openalex.org/W2978725006","https://openalex.org/W2980704105","https://openalex.org/W2983697263","https://openalex.org/W3006246324","https://openalex.org/W3202586005","https://openalex.org/W3205626500","https://openalex.org/W4230399697","https://openalex.org/W6636044972","https://openalex.org/W6636539666","https://openalex.org/W6675574318","https://openalex.org/W6681861716","https://openalex.org/W6742418480","https://openalex.org/W6752126435","https://openalex.org/W6755204464","https://openalex.org/W6755207826","https://openalex.org/W6767719158","https://openalex.org/W6772057793","https://openalex.org/W6772064308","https://openalex.org/W6777120346","https://openalex.org/W6780323073","https://openalex.org/W6785170199"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W2560130217","https://openalex.org/W605203981","https://openalex.org/W4225313275","https://openalex.org/W3097749327"],"abstract_inverted_index":{"Effective":[0],"labeled":[1],"data":[2],"collection":[3],"plays":[4],"a":[5,38,64,101,121],"critical":[6],"role":[7],"in":[8,92,134,156],"developing":[9],"and":[10,136,151,163],"fine-tuning":[11],"robust":[12],"streaming":[13,49],"analytics":[14,50],"systems.":[15,51],"However,":[16],"continuously":[17],"labeling":[18,29,73,135,161],"documents":[19,71,114,129],"to":[20,47,74,89,103,119,126],"filter":[21],"relevant":[22],"information":[23],"poses":[24],"significant":[25],"challenges":[26],"like":[27],"limited":[28],"budget":[30],"or":[31],"lack":[32],"of":[33,67,82,113,158],"high-quality":[34],"labels.":[35],"There":[36],"is":[37,56,173],"need":[39],"for":[40,72,115,170],"efficient":[41],"human-in-the-loop":[42],"machine":[43],"learning":[44,107],"(HITL-ML)":[45],"design":[46],"improve":[48],"One":[52],"particular":[53],"HITL-ML":[54],"approach":[55],"online":[57],"active":[58,106],"learning,":[59],"which":[60],"involves":[61],"iteratively":[62],"selecting":[63],"small":[65],"set":[66],"the":[68,76,138,144,164],"most":[69],"informative":[70],"enhance":[75,137],"ML":[77,139,165],"model":[78,140,166],"performance.":[79,141,167],"The":[80,168],"performance":[81,162],"such":[83],"algorithms":[84],"can":[85],"get":[86],"affected":[87],"due":[88],"human":[90,132,160],"errors":[91,133],"labeling.":[93,116],"To":[94],"address":[95],"these":[96],"challenges,":[97],"we":[98],"propose":[99],"ORIS,":[100],"method":[102,146],"perform":[104],"Online":[105],"using":[108],"Reinforcement":[109],"learning-based":[110],"Inclusive":[111],"Sampling":[112],"ORIS":[117,145],"aims":[118],"create":[120],"novel":[122],"Deep":[123],"Q-Network-based":[124],"strategy":[125],"sample":[127],"incoming":[128],"that":[130],"minimize":[131],"We":[142],"evaluate":[143],"on":[147],"emotion":[148],"recognition":[149],"tasks,":[150],"it":[152],"outperforms":[153],"traditional":[154],"baselines":[155],"terms":[157],"both":[159],"code":[169],"this":[171],"research":[172],"available":[174],"at":[175],"https://github.com/rpandey4/oris.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
