{"id":"https://openalex.org/W3174308432","doi":"https://doi.org/10.1007/978-3-030-86523-8_22","title":"Ensembling Shift Detectors: An Extensive Empirical Evaluation","display_name":"Ensembling Shift Detectors: An Extensive Empirical Evaluation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3174308432","doi":"https://doi.org/10.1007/978-3-030-86523-8_22","mag":"3174308432"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-86523-8_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86523-8_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.14608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022992780","display_name":"Simona Maggio","orcid":"https://orcid.org/0000-0001-5653-937X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simona Maggio","raw_affiliation_strings":["Dataiku Lab, Paris, France"],"raw_orcid":"https://orcid.org/0000-0001-5653-937X","affiliations":[{"raw_affiliation_string":"Dataiku Lab, Paris, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033045620","display_name":"L\u00e9o Dreyfus-Schmidt","orcid":"https://orcid.org/0000-0001-8271-1217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L\u00e9o Dreyfus-Schmidt","raw_affiliation_strings":["Dataiku Lab, Paris, France"],"raw_orcid":"https://orcid.org/0000-0001-8271-1217","affiliations":[{"raw_affiliation_string":"Dataiku Lab, Paris, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1346818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"362","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9779999852180481,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7379934191703796},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6899988055229187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821228861808777},{"id":"https://openalex.org/keywords/paradigm-shift","display_name":"Paradigm shift","score":0.6688692569732666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47247785329818726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46833109855651855},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45672187209129333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3384917080402374},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09075036644935608},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0747111439704895}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7379934191703796},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6899988055229187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821228861808777},{"id":"https://openalex.org/C43540301","wikidata":"https://www.wikidata.org/wiki/Q689971","display_name":"Paradigm shift","level":2,"score":0.6688692569732666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47247785329818726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46833109855651855},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45672187209129333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3384917080402374},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09075036644935608},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0747111439704895},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-86523-8_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86523-8_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2106.14608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.14608","pdf_url":"https://arxiv.org/pdf/2106.14608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3174308432","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2106.14608v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2106.14608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.14608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.14608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.14608","pdf_url":"https://arxiv.org/pdf/2106.14608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1871601952","https://openalex.org/W1986694300","https://openalex.org/W2028138594","https://openalex.org/W2035126508","https://openalex.org/W2095345875","https://openalex.org/W2122646361","https://openalex.org/W2129332419","https://openalex.org/W2131953535","https://openalex.org/W2162651021","https://openalex.org/W2462906003","https://openalex.org/W2746600820","https://openalex.org/W2917888609","https://openalex.org/W2985449513","https://openalex.org/W2988160455","https://openalex.org/W3029990846","https://openalex.org/W3038024236"],"related_works":["https://openalex.org/W2912132049","https://openalex.org/W2910400963","https://openalex.org/W3195502778","https://openalex.org/W3166201775","https://openalex.org/W3185859287","https://openalex.org/W2755093765","https://openalex.org/W3087148058","https://openalex.org/W3205127501","https://openalex.org/W2524228052","https://openalex.org/W3208808915","https://openalex.org/W3119618471","https://openalex.org/W628668948","https://openalex.org/W2031235756","https://openalex.org/W2884463285","https://openalex.org/W3041210697","https://openalex.org/W2783649419","https://openalex.org/W3199948257","https://openalex.org/W2767528836","https://openalex.org/W3094432900","https://openalex.org/W3167524275"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}