{"id":"https://openalex.org/W4311080259","doi":"https://doi.org/10.1145/3575637.3575643","title":"Open challenges for Machine Learning based Early Decision-Making research","display_name":"Open challenges for Machine Learning based Early Decision-Making research","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4311080259","doi":"https://doi.org/10.1145/3575637.3575643"},"language":"en","primary_location":{"id":"doi:10.1145/3575637.3575643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3575637.3575643","pdf_url":null,"source":{"id":"https://openalex.org/S4210176598","display_name":"ACM SIGKDD Explorations Newsletter","issn_l":"1931-0145","issn":["1931-0145","1931-0153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGKDD Explorations Newsletter","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03983223/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048898838","display_name":"Alexis Bondu","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexis Bondu","raw_affiliation_strings":["Orange Labs, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029244000","display_name":"Youssef Achenchabe","orcid":"https://orcid.org/0000-0003-2453-8924"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Youssef Achenchabe","raw_affiliation_strings":["Orange Labs, France &amp; Paris-Saclay University, Agroparistech, France","AgroParisTech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs, France &amp; Paris-Saclay University, Agroparistech, France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"raw_affiliation_string":"AgroParisTech","institution_ids":["https://openalex.org/I22248866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080970505","display_name":"Albert Bifet","orcid":"https://orcid.org/0000-0002-8339-7773"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["FR","NZ"],"is_corresponding":false,"raw_author_name":"Albert Bifet","raw_affiliation_strings":["IPP, T\u00b4el\u00b4ecom Paristech, France &amp; University of Waikato, New Zealand","Institut Polytechnique de Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPP, T\u00b4el\u00b4ecom Paristech, France &amp; University of Waikato, New Zealand","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I52179390"]},{"raw_affiliation_string":"Institut Polytechnique de Paris","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087132141","display_name":"Fabrice Cl\u00e9rot","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Clerot","raw_affiliation_strings":["Orange Labs, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050061032","display_name":"Antoine Cornu\u00e9jols","orcid":"https://orcid.org/0000-0002-2979-3521"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Cornuejols","raw_affiliation_strings":["Paris-Saclay University, Agroparistech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris-Saclay University, Agroparistech, France","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114376321","display_name":"Jo\u00e3o Gama","orcid":"https://orcid.org/0000-0003-3357-1195"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Gama","raw_affiliation_strings":["University of Porto, Portugal","Universidade do Porto = University of Porto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]},{"raw_affiliation_string":"Universidade do Porto = University of Porto","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018592107","display_name":"Georges H\u00e9brail","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Georges Hebrail","raw_affiliation_strings":["IPP, Telecom Paristech, France","Institut Polytechnique de Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPP, Telecom Paristech, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210145102"]},{"raw_affiliation_string":"Institut Polytechnique de Paris","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103118554","display_name":"Vincent Lemaire","orcid":"https://orcid.org/0000-0002-6030-2356"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Lemaire","raw_affiliation_strings":["Orange Labs, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037347942","display_name":"Pierre-Fran\u00e7ois Marteau","orcid":"https://orcid.org/0000-0002-3963-8795"},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Pierre-Francois Marteau","raw_affiliation_strings":["Bretagne-Sud University, France","Expressiveness in Human Centered Data/Media"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bretagne-Sud University, France","institution_ids":["https://openalex.org/I2802204017"]},{"raw_affiliation_string":"Expressiveness in Human Centered Data/Media","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8116,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68956933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"2","first_page":"12","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9868999719619751,"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":0.9868999719619751,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9085000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8519390821456909},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.720483660697937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5860217809677124},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.5717763900756836},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.542656660079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5162386894226074},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4639190435409546},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4405778646469116},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.35814785957336426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3244470953941345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8519390821456909},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.720483660697937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5860217809677124},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.5717763900756836},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.542656660079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5162386894226074},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4639190435409546},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4405778646469116},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.35814785957336426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3244470953941345},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3575637.3575643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3575637.3575643","pdf_url":null,"source":{"id":"https://openalex.org/S4210176598","display_name":"ACM SIGKDD Explorations Newsletter","issn_l":"1931-0145","issn":["1931-0145","1931-0153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGKDD Explorations Newsletter","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03983223v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03983223","pdf_url":"https://hal.science/hal-03983223/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2022, 24 (2), pp.12-31. &#x27E8;10.1145/3575637.3575643&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03983223v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03983223","pdf_url":"https://hal.science/hal-03983223/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2022, 24 (2), pp.12-31. &#x27E8;10.1145/3575637.3575643&#x27E9;","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311080259.pdf","grobid_xml":"https://content.openalex.org/works/W4311080259.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W316935178","https://openalex.org/W1543113789","https://openalex.org/W1946505397","https://openalex.org/W2002803086","https://openalex.org/W2574446701","https://openalex.org/W2801183640","https://openalex.org/W2911668186","https://openalex.org/W2913328528","https://openalex.org/W2969715199","https://openalex.org/W2972137370","https://openalex.org/W3010257550","https://openalex.org/W3012631161","https://openalex.org/W3102530385","https://openalex.org/W3172882128","https://openalex.org/W3199383010","https://openalex.org/W4229758624","https://openalex.org/W4256361765","https://openalex.org/W6606837198","https://openalex.org/W6676277805"],"related_works":["https://openalex.org/W2801622120","https://openalex.org/W2164141394","https://openalex.org/W4240977217","https://openalex.org/W3036524962","https://openalex.org/W1967649051","https://openalex.org/W2508088450","https://openalex.org/W2389434635","https://openalex.org/W4214750239","https://openalex.org/W2279908259","https://openalex.org/W2025641871"],"abstract_inverted_index":{"More":[0],"and":[1,49,111],"more":[2,25,70],"applications":[3],"require":[4],"early":[5],"decisions,":[6],"i.e.":[7],"taken":[8],"as":[9,11],"soon":[10],"possible":[12],"from":[13],"partially":[14],"observed":[15],"data.":[16],"However,":[17],"the":[18,24,32,35,47,50,59,85,104,114],"later":[19],"a":[20,44,69,91],"decision":[21,86],"is":[22,39,98],"made,":[23],"its":[26],"accuracy":[27,51],"tends":[28],"to":[29,37,113,117],"improve,":[30],"since":[31],"description":[33],"of":[34,52,61,88,94],"problem":[36],"hand":[38],"enriched":[40],"over":[41,100],"time.":[42,101],"Such":[43],"compromise":[45],"between":[46],"earliness":[48],"decisions":[53],"has":[54],"been":[55],"particularly":[56],"studied":[57],"in":[58,83,90,120,130],"field":[60],"Early":[62,77],"Time":[63],"Series":[64],"Classification.":[65],"This":[66],"paper":[67],"introduces":[68],"general":[71],"problem,":[72,106],"called":[73],"Machine":[74],"Learning":[75],"based":[76],"Decision":[78],"Making":[79],"(ML-EDM),":[80],"which":[81],"consists":[82],"optimizing":[84],"times":[87],"models":[89],"wide":[92],"range":[93],"settings":[95],"where":[96],"data":[97],"collected":[99],"After":[102],"defining":[103],"ML-EDM":[105],"ten":[107],"challenges":[108,124],"are":[109],"identified":[110],"proposed":[112],"scientific":[115],"community":[116],"further":[118],"research":[119],"this":[121,131],"area.":[122],"These":[123],"open":[125],"important":[126],"application":[127],"perspectives,":[128],"discussed":[129],"paper.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
