{"id":"https://openalex.org/W7152437286","doi":"https://doi.org/10.1109/icecet63943.2025.11472595","title":"Driving Style Classification with Explainable Boosting Machine","display_name":"Driving Style Classification with Explainable Boosting Machine","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152437286","doi":"https://doi.org/10.1109/icecet63943.2025.11472595"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5038976316","display_name":"Gye-Seong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I198972184","display_name":"Korea Electric Power Corporation (South Korea)","ror":"https://ror.org/04fperw70","country_code":"KR","type":"company","lineage":["https://openalex.org/I198972184"]},{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gye-Seong Lee","raw_affiliation_strings":["Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea"],"affiliations":[{"raw_affiliation_string":"Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea","institution_ids":["https://openalex.org/I4210131650","https://openalex.org/I198972184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073572223","display_name":"Hyun-Chang Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I198972184","display_name":"Korea Electric Power Corporation (South Korea)","ror":"https://ror.org/04fperw70","country_code":"KR","type":"company","lineage":["https://openalex.org/I198972184"]},{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Chang Cho","raw_affiliation_strings":["Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea"],"affiliations":[{"raw_affiliation_string":"Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea","institution_ids":["https://openalex.org/I4210131650","https://openalex.org/I198972184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133313308","display_name":"Hak-Jun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I198972184","display_name":"Korea Electric Power Corporation (South Korea)","ror":"https://ror.org/04fperw70","country_code":"KR","type":"company","lineage":["https://openalex.org/I198972184"]},{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hak-Jun Kim","raw_affiliation_strings":["Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea"],"affiliations":[{"raw_affiliation_string":"Electronics Technology Institute (KETI),Smart Electrics Research Center Korea,Gwangju,South Korea","institution_ids":["https://openalex.org/I4210131650","https://openalex.org/I198972184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038976316"],"corresponding_institution_ids":["https://openalex.org/I198972184","https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63725114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15839999914169312,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15839999914169312,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.07109999656677246,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.06430000066757202,"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/boosting","display_name":"Boosting (machine learning)","score":0.753600001335144},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.26649999618530273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2151000052690506},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21469999849796295}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.753600001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849999785423279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5735999941825867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.243599995970726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2151000052690506},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21469999849796295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.20020000636577606},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.18940000236034393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5201976895332336,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1996159834","https://openalex.org/W2416451307","https://openalex.org/W2554310451","https://openalex.org/W2901082774","https://openalex.org/W2902064445","https://openalex.org/W2904483378","https://openalex.org/W2912665531","https://openalex.org/W3011322905","https://openalex.org/W4320712846","https://openalex.org/W4388221188","https://openalex.org/W4402126906"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"and":[1,11,43,60,72,78,113,129],"classifying":[2],"driving":[3,35,87],"styles":[4],"is":[5],"essential":[6],"for":[7,127],"improving":[8],"road":[9,77],"safety":[10],"supporting":[12],"the":[13,28,83],"development":[14],"of":[15,86,110,119],"intelligent":[16],"driver-assistance":[17],"systems":[18],"(ADAS).":[19],"This":[20],"study":[21],"proposes":[22],"a":[23,89,116],"machine":[24],"learning":[25],"framework":[26],"using":[27],"Explainable":[29],"Boosting":[30],"Machine":[31],"(EBM)":[32],"to":[33],"classify":[34],"behavior":[36],"into":[37,132],"three":[38],"distinct":[39],"categories:":[40],"conservative,":[41],"normal,":[42],"aggressive.":[44],"Unlike":[45],"previous":[46],"approaches":[47],"that":[48,102],"rely":[49],"heavily":[50],"on":[51],"black-box":[52],"models,":[53],"EBM":[54,103],"offers":[55],"both":[56],"high":[57],"predictive":[58],"performance":[59],"transparency":[61],"in":[62,108],"feature":[63,95],"contribution.":[64],"Driving":[65],"data":[66],"were":[67],"collected":[68],"through":[69],"high-frequency":[70],"simulations":[71],"real-world":[73],"experiments":[74],"under":[75],"varying":[76],"speed":[79],"conditions.":[80],"To":[81],"model":[82],"temporal":[84],"dynamics":[85],"behavior,":[88],"sliding":[90],"window":[91],"approach":[92],"with":[93],"statistical":[94],"extraction":[96],"was":[97],"employed.":[98],"Experimental":[99],"results":[100],"show":[101],"outperformed":[104],"other":[105],"baseline":[106],"models":[107],"terms":[109],"classification":[111],"accuracy":[112,118],"interpretability,":[114],"achieving":[115],"prediction":[117],"93.3%.":[120],"The":[121],"proposed":[122],"method":[123],"demonstrates":[124],"strong":[125],"potential":[126],"real-time":[128],"interpretable":[130],"integration":[131],"ADAS":[133],"platforms.":[134]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}