{"id":"https://openalex.org/W3047385572","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156075","title":"Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition","display_name":"Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047385572","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156075","mag":"3047385572"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2434/757447","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010533347","display_name":"Cl\u00e1udio Bettini","orcid":"https://orcid.org/0000-0002-1727-7650"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudio Bettini","raw_affiliation_strings":["Dept. of Computer Science, EveryWare Lab, University of Milan, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, EveryWare Lab, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068914794","display_name":"Gabriele Civitarese","orcid":"https://orcid.org/0000-0002-8247-2524"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Civitarese","raw_affiliation_strings":["Dept. of Computer Science, EveryWare Lab, University of Milan, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, EveryWare Lab, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010533347"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39087182,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.989799976348877,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7719745635986328},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6678810715675354},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6584485769271851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6377473473548889},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.6111354231834412},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.562637209892273},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5387929081916809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5279266834259033},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.520553469657898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47937920689582825},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4539288878440857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719745635986328},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6678810715675354},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6584485769271851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6377473473548889},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.6111354231834412},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.562637209892273},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5387929081916809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5279266834259033},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.520553469657898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47937920689582825},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4539288878440857},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.unimi.it:2434/757447","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/757447","pdf_url":"http://hdl.handle.net/2434/757447","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/757447","is_oa":true,"landing_page_url":"http://hdl.handle.net/2434/757447","pdf_url":"http://hdl.handle.net/2434/757447","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047385572.pdf","grobid_xml":"https://content.openalex.org/works/W3047385572.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1986847617","https://openalex.org/W2004099281","https://openalex.org/W2004513044","https://openalex.org/W2015200434","https://openalex.org/W2029778954","https://openalex.org/W2059732136","https://openalex.org/W2069242521","https://openalex.org/W2105414191","https://openalex.org/W2117614111","https://openalex.org/W2154543439","https://openalex.org/W2232154212","https://openalex.org/W2283118918","https://openalex.org/W2336774800","https://openalex.org/W2559776840","https://openalex.org/W2611961900","https://openalex.org/W2713640100","https://openalex.org/W2797576012","https://openalex.org/W2903158431","https://openalex.org/W2940383374","https://openalex.org/W4230586052","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2168627904","https://openalex.org/W2515552481","https://openalex.org/W1570348318","https://openalex.org/W2015444353","https://openalex.org/W3013494979","https://openalex.org/W156769215","https://openalex.org/W1571141552","https://openalex.org/W4308101915","https://openalex.org/W4391636338","https://openalex.org/W3194047734"],"abstract_inverted_index":{"Semi-supervised":[0],"approaches":[1],"for":[2,159],"activity":[3,69],"recognition":[4,59,91],"are":[5],"a":[6,20,108,115,124,132,148],"promising":[7],"way":[8],"to":[9,26,55,78,88,111,122],"address":[10],"the":[11,30,40,45,58,62,67,72,74,80,90,127,152,166,171],"labeled":[12],"data":[13],"scarcity":[14],"problem.":[15],"Those":[16],"methods":[17],"only":[18],"require":[19],"small":[21],"training":[22],"set":[23],"in":[24,44,100,114,174],"order":[25],"be":[27,112],"initialized,":[28],"and":[29,35,141,168],"model":[31,63],"is":[32,49,64,85,129],"continuously":[33],"updated":[34],"improved":[36],"over":[37],"time.":[38],"Among":[39],"several":[41,103],"solutions":[42,172],"existing":[43],"literature,":[46],"active":[47,94,156],"learning":[48,95,157],"emerging":[50],"as":[51],"an":[52,155],"effective":[53],"technique":[54],"significantly":[56],"boost":[57],"rate:":[60],"when":[61,106,126],"uncertain":[65,130],"about":[66,131],"current":[68],"performed":[70],"by":[71],"user,":[73],"system":[75,109,128,176],"asks":[76],"her":[77],"provide":[79],"ground":[81],"truth.":[82],"This":[83],"feedback":[84,125],"then":[86],"used":[87],"update":[89],"model.":[92],"While":[93],"has":[96,110],"been":[97],"mostly":[98],"proposed":[99],"single-inhabitant":[101],"settings,":[102],"questions":[104,143],"arise":[105],"such":[107],"implemented":[113],"realistic":[116],"environment":[117],"with":[118],"multiple":[119],"users.":[120],"Who":[121],"ask":[123],"collaborative":[133],"activity?":[134],"In":[135,162],"this":[136,140,145],"paper,":[137],"we":[138,164,169],"investigate":[139],"more":[142],"on":[144],"topic,":[146],"proposing":[147],"preliminary":[149],"study":[150],"of":[151,154],"requirements":[153],"interface":[158],"multi-inhabitant":[160],"settings.":[161],"particular,":[163],"formalize":[165],"problem":[167],"describe":[170],"adopted":[173],"our":[175],"prototype.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
