{"id":"https://openalex.org/W4206499406","doi":"https://doi.org/10.1109/bigdata52589.2021.9671901","title":"Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT","display_name":"Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206499406","doi":"https://doi.org/10.1109/bigdata52589.2021.9671901"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671901","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","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/A5072224562","display_name":"Bharath Sudharsan","orcid":"https://orcid.org/0000-0001-5906-113X"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]},{"id":"https://openalex.org/I4210127004","display_name":"CAPTEC (Ireland)","ror":"https://ror.org/03ra2r215","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210127004"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Bharath Sudharsan","raw_affiliation_strings":["ARM Machine Learning Infrastructure, Galway, Ireland","Data Science Institute, NUI, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"ARM Machine Learning Infrastructure, Galway, Ireland","institution_ids":["https://openalex.org/I4210127004"]},{"raw_affiliation_string":"Data Science Institute, NUI, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009609027","display_name":"Piyush Yadav","orcid":"https://orcid.org/0000-0002-7679-7795"},"institutions":[{"id":"https://openalex.org/I4210127004","display_name":"CAPTEC (Ireland)","ror":"https://ror.org/03ra2r215","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210127004"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Piyush Yadav","raw_affiliation_strings":["ARM Machine Learning Infrastructure, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"ARM Machine Learning Infrastructure, Galway, Ireland","institution_ids":["https://openalex.org/I4210127004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002618026","display_name":"Duc-Duy Nguyen","orcid":"https://orcid.org/0009-0004-1825-433X"},"institutions":[{"id":"https://openalex.org/I4210127004","display_name":"CAPTEC (Ireland)","ror":"https://ror.org/03ra2r215","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210127004"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Duc-Duy Nguyen","raw_affiliation_strings":["ARM Machine Learning Infrastructure, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"ARM Machine Learning Infrastructure, Galway, Ireland","institution_ids":["https://openalex.org/I4210127004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054476296","display_name":"Jefkine Kafunah","orcid":"https://orcid.org/0000-0003-0943-1969"},"institutions":[{"id":"https://openalex.org/I4210127004","display_name":"CAPTEC (Ireland)","ror":"https://ror.org/03ra2r215","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210127004"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Jefkine Kafunah","raw_affiliation_strings":["ARM Machine Learning Infrastructure, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"ARM Machine Learning Infrastructure, Galway, Ireland","institution_ids":["https://openalex.org/I4210127004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090996360","display_name":"John G. Breslin","orcid":"https://orcid.org/0000-0001-5790-050X"},"institutions":[{"id":"https://openalex.org/I4210127004","display_name":"CAPTEC (Ireland)","ror":"https://ror.org/03ra2r215","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210127004"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"John G. Breslin","raw_affiliation_strings":["ARM Machine Learning Infrastructure, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"ARM Machine Learning Infrastructure, Galway, Ireland","institution_ids":["https://openalex.org/I4210127004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072224562"],"corresponding_institution_ids":["https://openalex.org/I188760350","https://openalex.org/I4210127004"],"apc_list":null,"apc_paid":null,"fwci":1.2917,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80070755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1960","last_page":"1963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9919000267982483,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.8375252485275269},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.7259942293167114},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5584582090377808},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5486865043640137},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5048227906227112},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4978981018066406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48005732893943787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45044341683387756},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.41880229115486145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33332961797714233},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12709710001945496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8375252485275269},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7259942293167114},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5584582090377808},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5486865043640137},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5048227906227112},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4978981018066406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48005732893943787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45044341683387756},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.41880229115486145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33332961797714233},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12709710001945496},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671901","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2098154993","https://openalex.org/W2145940431","https://openalex.org/W3096510650","https://openalex.org/W3186771824","https://openalex.org/W3189002675","https://openalex.org/W4232478844"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W2981906196","https://openalex.org/W4391100477","https://openalex.org/W4327779705","https://openalex.org/W1513698804","https://openalex.org/W4310560702","https://openalex.org/W2029712093","https://openalex.org/W1982811510"],"abstract_inverted_index":{"The":[0],"concept":[1],"of":[2,61],"ML":[3,64],"model":[4,36,65,86,99],"aggregation":[5,9],"rather":[6],"than":[7],"data":[8],"has":[10],"gained":[11],"much":[12],"attention":[13],"as":[14],"it":[15],"boosts":[16],"pre-":[17],"diction":[18],"performance":[19,101],"while":[20],"maintaining":[21],"stability":[22],"and":[23,57,93,107],"preserving":[24],"privacy.":[25],"In":[26],"a":[27,34,39,84,115],"non-ideal":[28],"scenario,":[29],"there":[30],"are":[31],"chances":[32],"for":[33],"base":[35,76],"trained":[37],"on":[38,79],"single":[40],"device":[41],"to":[42,82],"make":[43],"independent":[44],"but":[45],"complementary":[46],"errors.":[47],"To":[48],"handle":[49],"such":[50],"cases,":[51],"in":[52],"this":[53],"paper,":[54],"we":[55],"implement":[56],"release":[58],"the":[59,98],"code":[60],"8":[62],"robust":[63],"combining":[66,74,100],"methods":[67],"that":[68,87,112],"achieves":[69],"reliable":[70],"prediction":[71],"results":[72],"by":[73,102,127],"numerous":[75,123],"models":[77],"(trained":[78],"many":[80],"devices)":[81],"form":[83],"central":[85],"effectively":[88],"limits":[89],"errors,":[90],"built-in":[91],"randomness":[92],"uncertainties.":[94],"We":[95],"extensively":[96],"test":[97],"performing":[103],"15":[104],"heterogeneous":[105],"devices":[106],"3":[108],"datasets":[109],"based":[110],"experiments":[111],"exemplifies":[113],"how":[114],"complicated":[116],"collective":[117],"intelligence":[118,125],"can":[119],"be":[120],"derived":[121],"from":[122],"elementary":[124],"learned":[126],"distributed,":[128],"ubiquitous":[129],"IoT":[130],"devices.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
