{"id":"https://openalex.org/W4372349381","doi":"https://doi.org/10.1109/icassp49357.2023.10097073","title":"Runtime Prediction of Machine Learning Algorithms in Automl Systems","display_name":"Runtime Prediction of Machine Learning Algorithms in Automl Systems","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372349381","doi":"https://doi.org/10.1109/icassp49357.2023.10097073"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5110042006","display_name":"Parijat Dube","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Parijat Dube","raw_affiliation_strings":["IBM Research,USA","IBM Research, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research,USA","institution_ids":[]},{"raw_affiliation_string":"IBM Research, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002314395","display_name":"Theodoros Salonidis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theodoros Salonidis","raw_affiliation_strings":["IBM Research,USA","IBM Research, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research,USA","institution_ids":[]},{"raw_affiliation_string":"IBM Research, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089095944","display_name":"Parikshit Ram","orcid":"https://orcid.org/0000-0002-9456-029X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parikshit Ram","raw_affiliation_strings":["IBM Research,USA","IBM Research, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research,USA","institution_ids":[]},{"raw_affiliation_string":"IBM Research, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101423308","display_name":"Ashish Verma","orcid":"https://orcid.org/0009-0007-3427-3196"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Verma","raw_affiliation_strings":["Amazon,USA","Amazon, USA"],"affiliations":[{"raw_affiliation_string":"Amazon,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110042006"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8859,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78339442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9952999949455261,"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/machine-learning","display_name":"Machine learning","score":0.7612819075584412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570035457611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520049571990967},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4216548502445221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34297847747802734}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7612819075584412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570035457611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520049571990967},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4216548502445221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34297847747802734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2182361439","https://openalex.org/W2499137299","https://openalex.org/W2752512710","https://openalex.org/W2784287478","https://openalex.org/W2887612286","https://openalex.org/W2964281761","https://openalex.org/W2964306294","https://openalex.org/W2993660227","https://openalex.org/W3127812658","https://openalex.org/W3135013702","https://openalex.org/W3181228931","https://openalex.org/W6685961532","https://openalex.org/W6744307745","https://openalex.org/W6753583484","https://openalex.org/W6755095635","https://openalex.org/W6798473733"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"a":[5,35,50],"metalearning-based":[6],"methodology":[7],"for":[8,22,49],"predicting":[9],"the":[10,46,56,61,67],"training":[11,32],"runtime":[12,62],"of":[13,38,64,66],"various":[14],"machine":[15,24,39],"learning":[16,25,40],"algorithms.":[17],"This":[18],"prediction":[19],"is":[20],"important":[21],"automated":[23],"(AutoML)":[26],"systems":[27,73],"because":[28],"they":[29],"search":[30],"by":[31],"and":[33,74],"evaluating":[34],"large":[36],"number":[37],"models":[41],"in":[42,71,82],"order":[43],"to":[44,78],"identify":[45],"best":[47],"model":[48],"given":[51],"dataset.":[52],"Our":[53],"approach":[54],"identifies":[55],"main":[57],"factors":[58],"that":[59],"impact":[60],"performance":[63,81],"state":[65],"art":[68],"algorithms":[69],"used":[70,77],"AutoML":[72],"can":[75],"be":[76],"enhance":[79],"their":[80],"resource-constrained":[83],"settings.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
