{"id":"https://openalex.org/W4412877148","doi":"https://doi.org/10.1145/3711896.3737428","title":"EBES: Easy Benchmarking for Event Sequences","display_name":"EBES: Easy Benchmarking for Event Sequences","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877148","doi":"https://doi.org/10.1145/3711896.3737428"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737428","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737428","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737428","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737428","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119175165","display_name":"Dmitry Osin","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Osin","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0006-2504-2479","affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025413651","display_name":"Igor P. Udovichenko","orcid":"https://orcid.org/0009-0005-7909-9668"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor Udovichenko","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Vega Institute Foundation, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0005-7909-9668","affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Vega Institute Foundation, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055858527","display_name":"Egor Shvetsov","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor Shvetsov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0002-1782-6290","affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093836168","display_name":"Viktor Moskvoretskii","orcid":"https://orcid.org/0009-0001-5119-8980"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]},{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Viktor Moskvoretskii","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Higher School of Economics, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0001-5119-8980","affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Higher School of Economics, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756","https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088950452","display_name":"Evgeny Burnaev","orcid":"https://orcid.org/0000-0001-8424-0690"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Burnaev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Artificial Intelligence Research Institute, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0001-8424-0690","affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russian Federation and Artificial Intelligence Research Institute, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1081,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81117331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5730","last_page":"5741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9912999868392944,"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/T11269","display_name":"Algorithms and Data Compression","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8600175380706787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6467214822769165},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5925858020782471},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10213163495063782}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8600175380706787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467214822769165},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5925858020782471},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10213163495063782},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737428","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737428","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737428","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737428","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737428","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737428","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324632","display_name":"Ministero dello Sviluppo Economico","ror":"https://ror.org/011z3ff80"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877148.pdf","grobid_xml":"https://content.openalex.org/works/W4412877148.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1972978214","https://openalex.org/W2000032310","https://openalex.org/W2006676204","https://openalex.org/W2110065044","https://openalex.org/W2767387808","https://openalex.org/W2949676527","https://openalex.org/W2988244882","https://openalex.org/W2990138404","https://openalex.org/W3035620341","https://openalex.org/W3046153892","https://openalex.org/W3094055915","https://openalex.org/W3127035078","https://openalex.org/W4225627404","https://openalex.org/W4372346777","https://openalex.org/W4382239440","https://openalex.org/W4385586684","https://openalex.org/W4390533460","https://openalex.org/W6929022432"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699"],"abstract_inverted_index":{"Event":[0],"Sequences":[1],"(EvS":[2],")":[3],"refer":[4],"to":[5,63,174,205],"sequential":[6,176],"data":[7,115,145,177],"characterized":[8],"by":[9],"irregular":[10],"sampling":[11],"intervals":[12],"and":[13,18,35,74,101,143,162,214],"a":[14,87,139,180],"mix":[15],"of":[16,23,41,58,131,171,183,202,219],"categorical":[17],"numerical":[19],"features.":[20],"Accurate":[21],"classification":[22,44,92,221],"these":[24],"sequences":[25],"is":[26,47,110,116,204],"crucial":[27],"for":[28,90,158],"various":[29],"real-life":[30],"applications,":[31],"including":[32,138],"healthcare,":[33],"finance,":[34],"user":[36],"interaction.":[37],"Despite":[38],"the":[39,42,78,128,147,168,189,193,212,216],"popularity":[40],"EvS":[43,91,132,172,198,220],"task,":[45],"there":[46],"currently":[48],"no":[49],"standardized":[50,98],"benchmark":[51,89],"or":[52],"rigorous":[53],"evaluation":[54,99],"protocol.":[55],"This":[56],"lack":[57],"standardization":[59],"makes":[60],"it":[61,126],"difficult":[62],"compare":[64],"results":[65,166],"across":[66],"studies,":[67],"which":[68],"can":[69],"result":[70],"in":[71,77,211],"unreliable":[72],"conclusions":[73],"hinder":[75],"progress":[76,210],"field.":[79],"To":[80],"address":[81],"this":[82],"gap,":[83],"we":[84],"present":[85],"EBES,":[86],"comprehensive":[88],"with":[93,104,146,196],"sequence-level":[94],"targets.":[95],"EBES":[96,203],"features":[97],"scenarios":[100],"protocols,":[102],"along":[103],"an":[105],"open-source":[106],"PyTorch":[107],"library.":[108],"Code":[109],"available":[111,117,150],"at":[112,118],"https://github.com/On-Point-RND/EBES.":[113],"Preprocessed":[114],"https://huggingface.co/datasets/On-Point-Rnd/ebes":[119],"that":[120],"implements":[121],"9":[122],"modern":[123,184],"models.":[124],"Additionally,":[125],"includes":[127],"largest":[129,148],"collection":[130],"datasets,":[133,137],"featuring":[134],"10":[135],"curated":[136],"novel":[140],"synthetic":[141],"dataset":[142],"real-world":[144,217],"publicly":[149],"banking":[151],"dataset.":[152],"The":[153,200],"library":[154],"offers":[155],"user-friendly":[156],"interfaces":[157],"integrating":[159],"new":[160],"methods":[161],"datasets.":[163],"Our":[164],"benchmarking":[165],"highlight":[167],"unique":[169],"properties":[170],"compared":[173],"other":[175],"types,":[178],"provide":[179],"performance":[181],"ranking":[182],"models-with":[185],"GRU-based":[186],"models":[187],"achieving":[188],"best":[190],"results-and":[191],"reveal":[192],"challenges":[194],"associated":[195],"robust":[197],"learning.":[199],"goal":[201],"facilitate":[206],"reproducible":[207],"research,":[208],"expedite":[209],"field,":[213],"increase":[215],"impact":[218],"techniques.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}