{"id":"https://openalex.org/W6949654857","doi":"https://doi.org/10.5281/zenodo.16412723","title":"Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python","display_name":"Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python","publication_year":2025,"publication_date":"2025-07-24","ids":{"openalex":"https://openalex.org/W6949654857","doi":"https://doi.org/10.5281/zenodo.16412723"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.16412723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16412723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.16412723","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Provost, Simon","orcid":"https://orcid.org/0000-0001-8402-5464"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Provost, Simon","raw_affiliation_strings":["University of Kent"],"affiliations":[{"raw_affiliation_string":"University of Kent","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":null,"display_name":"Freitas, Alex","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Freitas, Alex","raw_affiliation_strings":["University of Kent"],"affiliations":[{"raw_affiliation_string":"University of Kent","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.853600025177002},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3142000138759613},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.29820001125335693},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.28299999237060547},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.2676999866962433}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.853600025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333999872207642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6341999769210815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6079000234603882},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.16412723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16412723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.16412723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16412723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\u2602\ufe0f":[0],"Scikit-longitudinal":[1],"(Sklong)":[2],"is":[3,20],"an":[4],"open-source":[5],"Python":[6],"library":[7],"&":[8],"Scikit-Learn":[9],"API":[10],"compliant,":[11],"tailored":[12],"to":[13],"longitudinal":[14],"machine":[15],"learning":[16],"classification":[17],"tasks.":[18],"It":[19],"ideal":[21],"for":[22,33],"researchers,":[23],"data":[24,37],"scientists,":[25],"and":[26],"analysts,":[27],"as":[28],"it":[29],"provides":[30],"specialist":[31],"tools":[32],"dealing":[34],"with":[35],"repeated-measures":[36],"challenges":[38]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}