{"id":"https://openalex.org/W2077844802","doi":"https://doi.org/10.1109/jiot.2015.2389335","title":"Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees","display_name":"Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees","publication_year":2015,"publication_date":"2015-01-07","ids":{"openalex":"https://openalex.org/W2077844802","doi":"https://doi.org/10.1109/jiot.2015.2389335","mag":"2077844802"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2015.2389335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2015.2389335","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5068231108","display_name":"Pierluigi Casale","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153656","display_name":"Holst Centre (Netherlands)","ror":"https://ror.org/04abpa862","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210153656"]},{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pierluigi Casale","raw_affiliation_strings":["Holst Centre-IMEC, Eindhoven, The Netherlands","Signal Processing Group, Technical University (TU) Eindhoven, Eindhoven, AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Holst Centre-IMEC, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210153656"]},{"raw_affiliation_string":"Signal Processing Group, Technical University (TU) Eindhoven, Eindhoven, AE, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047973186","display_name":"Marco Altini","orcid":"https://orcid.org/0000-0001-5981-4066"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marco Altini","raw_affiliation_strings":["Bloom Technologies, Diepenbeek, Belgium","Signal Processing Group, Technical University (TU) Eindhoven, Eindhoven, AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bloom Technologies, Diepenbeek, Belgium","institution_ids":[]},{"raw_affiliation_string":"Signal Processing Group, Technical University (TU) Eindhoven, Eindhoven, AE, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064135418","display_name":"Oliver Amft","orcid":"https://orcid.org/0000-0001-6811-3659"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Amft","raw_affiliation_strings":["Department of Electrical Engineering, Signal Processing Systems, University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Signal Processing Systems, University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.031,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88270967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9818000197410583,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8481400609016418},{"id":"https://openalex.org/keywords/relocation","display_name":"Relocation","score":0.6632428169250488},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6262614727020264},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6076592803001404},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5316441655158997},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5156503915786743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48938292264938354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45110782980918884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4486067295074463},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2849971652030945},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07354667782783508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8481400609016418},{"id":"https://openalex.org/C2779019381","wikidata":"https://www.wikidata.org/wiki/Q3499564","display_name":"Relocation","level":2,"score":0.6632428169250488},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6262614727020264},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6076592803001404},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5316441655158997},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5156503915786743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48938292264938354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45110782980918884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4486067295074463},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2849971652030945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07354667782783508},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2015.2389335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2015.2389335","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1527911497","https://openalex.org/W1588401315","https://openalex.org/W1981552604","https://openalex.org/W1990776473","https://openalex.org/W2026153494","https://openalex.org/W2028273907","https://openalex.org/W2096680959","https://openalex.org/W2116955663","https://openalex.org/W2122838776","https://openalex.org/W2146489051","https://openalex.org/W2150757437","https://openalex.org/W2158514621","https://openalex.org/W2165698076","https://openalex.org/W2168189108","https://openalex.org/W2295948418","https://openalex.org/W2623740487","https://openalex.org/W2801268113","https://openalex.org/W2911964244","https://openalex.org/W3104887532","https://openalex.org/W4212883601","https://openalex.org/W4285719527","https://openalex.org/W6635310694","https://openalex.org/W6696986993","https://openalex.org/W6751578113"],"related_works":["https://openalex.org/W2486027828","https://openalex.org/W2380877425","https://openalex.org/W2034964907","https://openalex.org/W2147260044","https://openalex.org/W2365744358","https://openalex.org/W2330526172","https://openalex.org/W2066619073","https://openalex.org/W2386505781","https://openalex.org/W2992703792","https://openalex.org/W2006887720"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,6,11,29,56,59,73,83,101,109,118,133,136],"process":[3],"of":[4,13,40,58,135,141],"transferring":[5,30],"activity":[7,47],"recognition":[8,48,103],"models":[9,49,104],"within":[10,55],"nodes":[12,57],"a":[14,23,34,69,78,91],"body":[15],"sensor":[16],"network":[17,74],"(BSN).":[18],"In":[19],"particular,":[20],"we":[21],"propose":[22],"methodology":[24,62,137],"that":[25,50,100],"supports":[26],"and":[27,88,112],"makes":[28],"possible.":[31],"Based":[32],"on":[33],"collaborative":[35],"training":[36],"strategy,":[37],"classifier":[38],"ensembles":[39],"randomized":[41],"trees":[42],"are":[43,115,143],"used":[44],"to":[45,90,131],"create":[46],"can":[51],"successfully":[52],"be":[53],"transferred":[54,102],"network.":[60],"The":[61],"has":[63],"been":[64,123],"applied":[65],"in":[66,72,82,108,117,129],"scenarios":[67],"where":[68],"node":[70,80],"present":[71],"is":[75],"replaced":[76],"by":[77],"new":[79],"located":[81],"same":[84],"position":[85,94],"(replacement":[86],"scenario)":[87],"relocated":[89],"previously":[92],"unknown":[93],"(relocation":[95],"scenario).":[96],"Experimental":[97],"results":[98],"show":[99],"achieve":[105],"high-recognition":[106],"performance":[107,114,134],"replacement":[110],"scenario":[111],"good-recognition":[113],"achieved":[116],"relocation":[119],"scenario.":[120],"Results":[121],"have":[122],"validated":[124],"with":[125],"multiple":[126],"K-folds":[127],"cross-validations":[128],"order":[130],"test":[132],"when":[138],"different":[139],"amount":[140],"data":[142],"shared":[144],"between":[145],"nodes.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
