{"id":"https://openalex.org/W2104175504","doi":null,"title":"Sensor Selection for Crowdsensing Dynamical Systems","display_name":"Sensor Selection for Crowdsensing Dynamical Systems","publication_year":2015,"publication_date":"2015-02-21","ids":{"openalex":"https://openalex.org/W2104175504","mag":"2104175504"},"language":"en","primary_location":{"id":"mag:2104175504","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v38/schnitzler15.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419146","display_name":"International Conference on Artificial Intelligence and Statistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Artificial Intelligence and Statistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5018513384","display_name":"Fran\u00e7ois Schnitzler","orcid":"https://orcid.org/0000-0003-1304-2157","observed_orcids":["https://orcid.org/0000-0003-1304-2157"]},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Schnitzler","raw_affiliation_strings":["Technion \u2013 Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0003-1304-2157","affiliations":[{"raw_affiliation_string":"Technion \u2013 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868923","display_name":"Jia Yuan Yu","orcid":"https://orcid.org/0000-0002-6674-6150","observed_orcids":["https://orcid.org/0000-0002-6674-6150","https://orcid.org/0000-0001-5768-9249"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Yuan Yu","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":"https://orcid.org/0000-0002-6674-6150","affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036260775","display_name":"Shie Mannor","orcid":"https://orcid.org/0000-0003-4439-7647","observed_orcids":["https://orcid.org/0000-0003-4439-7647"]},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shie Mannor","raw_affiliation_strings":["Technion \u2013 Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0003-4439-7647","affiliations":[{"raw_affiliation_string":"Technion \u2013 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8647,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85211962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"829","last_page":"837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.6445000171661377,"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":0.6445000171661377,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.22339999675750732,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.020600000396370888,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-selection","display_name":"sensor selection","score":0.949999988079071},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"crowdsensing","score":0.9980000257492065},{"id":"https://openalex.org/keywords/linear-dynamical-systems","display_name":"linear dynamical systems","score":0.9769999980926514},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.9039999842643738},{"id":"https://openalex.org/keywords/submodular-optimization","display_name":"submodular optimization","score":0.9959999918937683},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.6259999871253967},{"id":"https://openalex.org/keywords/traffic-data","display_name":"traffic data","score":0.5040000081062317},{"id":"https://openalex.org/keywords/urban-traffic-monitoring","display_name":"urban traffic monitoring","score":0.47200000286102295}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.6754659414291382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580770015716553},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6184483170509338},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6041994094848633},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.5681334137916565},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46419963240623474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45792919397354126},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.4372600018978119},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.43332868814468384},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42767658829689026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3925594687461853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3395187556743622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24101263284683228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23969799280166626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20787960290908813},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2104175504","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v38/schnitzler15.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419146","display_name":"International Conference on Artificial Intelligence and Statistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Artificial Intelligence and Statistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W36550046","https://openalex.org/W1496871954","https://openalex.org/W1541505110","https://openalex.org/W1680189815","https://openalex.org/W2039522160","https://openalex.org/W2043286600","https://openalex.org/W2049633694","https://openalex.org/W2056833816","https://openalex.org/W2095376999","https://openalex.org/W2096649264","https://openalex.org/W2108738385","https://openalex.org/W2115916404","https://openalex.org/W2121671791","https://openalex.org/W2122825543","https://openalex.org/W2125943099","https://openalex.org/W2132555912","https://openalex.org/W2134305421","https://openalex.org/W2143246231","https://openalex.org/W2143319963","https://openalex.org/W2159416808","https://openalex.org/W2166851633","https://openalex.org/W2168071746","https://openalex.org/W2964276430","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2941785042","https://openalex.org/W2738707681","https://openalex.org/W2012638909","https://openalex.org/W2774025335","https://openalex.org/W3021908353","https://openalex.org/W3024551170","https://openalex.org/W2796531627","https://openalex.org/W2887050222","https://openalex.org/W7110591463","https://openalex.org/W7131661672"],"abstract_inverted_index":{"We":[0,47,55],"model":[1],"crowdsensing":[2],"as":[3],"the":[4,41,45,57,69],"selection":[5,62,83],"of":[6,59,71],"sensors":[7],"with":[8],"unknown":[9],"variance":[10,87],"to":[11,39],"monitor":[12],"a":[13,25,33,85],"large":[14],"linear":[15],"dynamical":[16],"system.":[17],"To":[18],"achieve":[19],"low":[20],"estimation":[21,53,79],"error,":[22],"we":[23],"propose":[24],"Thompson":[26],"sampling":[27],"approach":[28],"combining":[29],"submodular":[30],"optimization":[31],"and":[32],"scalable":[34],"online":[35,74],"variational":[36],"inference":[37],"algorithm":[38,75],"maintain":[40],"posterior":[42],"distribution":[43],"over":[44],"variance.":[46],"also":[48],"consider":[49],"three":[50],"alternative":[51],"parameter":[52],"algorithms.":[54],"illustrate":[56],"behavior":[58],"our":[60],"sensor":[61,82],"algorithms":[63],"on":[64],"real":[65],"trac":[66],"data":[67],"from":[68],"city":[70],"Dublin.":[72],"Our":[73],"achieves":[76],"significantly":[77],"lower":[78],"error":[80],"than":[81],"using":[84],"fixed":[86],"value":[88],"for":[89],"all":[90],"sensors.":[91]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}