{"id":"https://openalex.org/W2022090300","doi":"https://doi.org/10.1145/1102351.1102456","title":"Active learning for sampling in time-series experiments with application to gene expression analysis","display_name":"Active learning for sampling in time-series experiments with application to gene expression analysis","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2022090300","doi":"https://doi.org/10.1145/1102351.1102456","mag":"2022090300"},"language":"en","primary_location":{"id":"doi:10.1145/1102351.1102456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102351.1102456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd international conference on Machine learning - ICML '05","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081688191","display_name":"Rohit Singh","orcid":"https://orcid.org/0000-0002-4084-7340"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Singh","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA,","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068355428","display_name":"Nathan Palmer","orcid":"https://orcid.org/0000-0002-4361-207X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Palmer","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA,","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082442738","display_name":"David K. Gifford","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Gifford","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA,","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044078921","display_name":"Bonnie Berger","orcid":"https://orcid.org/0000-0002-2724-7228"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bonnie Berger","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA,","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065673127","display_name":"Ziv Bar\u2010Joseph","orcid":"https://orcid.org/0000-0003-3430-6051"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziv Bar-Joseph","raw_affiliation_strings":["Carnegie-Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4929,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.62705138,"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":"832","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9976000189781189,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.983299970626831,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6391531229019165},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6138821244239807},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6107386946678162},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5461077690124512},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4876450300216675},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.43246757984161377},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4102335572242737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40652579069137573},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.35966041684150696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33780765533447266},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20405519008636475},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14925435185432434},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10001036524772644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391531229019165},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6138821244239807},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6107386946678162},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5461077690124512},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4876450300216675},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.43246757984161377},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4102335572242737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40652579069137573},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.35966041684150696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33780765533447266},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20405519008636475},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14925435185432434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10001036524772644},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1102351.1102456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102351.1102456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd international conference on Machine learning - ICML '05","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W141760394","https://openalex.org/W1984080040","https://openalex.org/W2011970434","https://openalex.org/W2067047477","https://openalex.org/W2097995023","https://openalex.org/W2103453943","https://openalex.org/W2122135124","https://openalex.org/W2127816222","https://openalex.org/W2145083545","https://openalex.org/W2151712763","https://openalex.org/W2159574904","https://openalex.org/W2161477969","https://openalex.org/W2162870748","https://openalex.org/W2964075712","https://openalex.org/W2997000181"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W4387331850"],"abstract_inverted_index":{"Many":[0],"time-series":[1],"experiments":[2,50],"seek":[3],"to":[4,29,34,45,86],"estimate":[5],"some":[6],"signal":[7],"as":[8,100,107,109],"a":[9,46],"continuous":[10],"function":[11],"of":[12,38,49,94,128],"time.":[13],"In":[14],"this":[15,69],"paper,":[16],"we":[17,113],"address":[18],"the":[19,36,72,89,92,95,101],"sampling":[20],"problem":[21],"for":[22,82],"such":[23],"experiments:":[24],"determining":[25],"which":[26,51],"time-points":[27,85],"ought":[28],"be":[30],"sampled":[31],"in":[32,91],"order":[33],"minimize":[35],"cost":[37,125],"data":[39,106],"collection.":[40],"We":[41,76],"restrict":[42],"our":[43,116],"attention":[44],"growing":[47],"class":[48],"measure":[52],"multiple":[53],"signals":[54],"at":[55],"each":[56],"time-point":[57],"and":[58,65,120],"where":[59],"raw":[60],"materials/observations":[61],"are":[62],"archived":[63],"initially,":[64],"selectively":[66],"analyzed":[67],"later,":[68],"analysis":[70],"being":[71],"more":[73],"expensive":[74],"step.":[75],"present":[77],"an":[78],"active":[79],"learning":[80],"algorithm":[81,117],"iteratively":[83],"choosing":[84],"sample,":[87],"using":[88],"uncertainty":[90],"quality":[93],"currently":[96],"estimated":[97],"time-dependent":[98],"curve":[99],"objective":[102],"function.":[103],"Using":[104],"simulated":[105],"well":[108],"gene":[110],"expression":[111],"data,":[112],"show":[114],"that":[115],"performs":[118],"well,":[119],"can":[121],"significantly":[122],"reduce":[123],"experimental":[124],"without":[126],"loss":[127],"information.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
