{"id":"https://openalex.org/W2734656543","doi":"https://doi.org/10.1109/ijcnn.2017.7966247","title":"Adaptive learning based driving episode description on category maps","display_name":"Adaptive learning based driving episode description on category maps","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734656543","doi":"https://doi.org/10.1109/ijcnn.2017.7966247","mag":"2734656543"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5015549649","display_name":"Hirokazu Madokoro","orcid":"https://orcid.org/0000-0001-5485-2928"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hirokazu Madokoro","raw_affiliation_strings":["Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004284371","display_name":"Kazuhito Sato","orcid":"https://orcid.org/0009-0006-3045-5112"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhito Sato","raw_affiliation_strings":["Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005167371","display_name":"Kazuhisa Nakasho","orcid":"https://orcid.org/0000-0003-1110-4342"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhisa Nakasho","raw_affiliation_strings":["Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074137157","display_name":"Nobuhiro Shimoi","orcid":"https://orcid.org/0000-0002-1024-0361"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuhiro Shimoi","raw_affiliation_strings":["Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan","institution_ids":["https://openalex.org/I5467274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015549649"],"corresponding_institution_ids":["https://openalex.org/I5467274"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61028811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3138","last_page":"3145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"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/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418193817138672},{"id":"https://openalex.org/keywords/adaptive-resonance-theory","display_name":"Adaptive resonance theory","score":0.7179088592529297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.555047333240509},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48019421100616455},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47642263770103455},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4509231746196747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3432430624961853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33734381198883057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28771156072616577},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24351820349693298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418193817138672},{"id":"https://openalex.org/C115755159","wikidata":"https://www.wikidata.org/wiki/Q352487","display_name":"Adaptive resonance theory","level":3,"score":0.7179088592529297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555047333240509},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48019421100616455},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47642263770103455},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4509231746196747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3432430624961853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33734381198883057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28771156072616577},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24351820349693298},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W591434611","https://openalex.org/W629297016","https://openalex.org/W1518186130","https://openalex.org/W1566135517","https://openalex.org/W1588340522","https://openalex.org/W1625255723","https://openalex.org/W1926592634","https://openalex.org/W1966156549","https://openalex.org/W1980832965","https://openalex.org/W1988242323","https://openalex.org/W2037956097","https://openalex.org/W2039380597","https://openalex.org/W2048710758","https://openalex.org/W2104128137","https://openalex.org/W2110802877","https://openalex.org/W2113594567","https://openalex.org/W2120220258","https://openalex.org/W2124386111","https://openalex.org/W2127218421","https://openalex.org/W2128272608","https://openalex.org/W2138584058","https://openalex.org/W2144225695","https://openalex.org/W2152477898","https://openalex.org/W2164598857","https://openalex.org/W2217896605","https://openalex.org/W2344404569","https://openalex.org/W2508277576","https://openalex.org/W2615116922","https://openalex.org/W2724851297","https://openalex.org/W2913429812","https://openalex.org/W4213332169","https://openalex.org/W4232670376","https://openalex.org/W4250621041","https://openalex.org/W4285719527","https://openalex.org/W4297944103","https://openalex.org/W6617548127","https://openalex.org/W6636494156","https://openalex.org/W7000443800"],"related_works":["https://openalex.org/W2966075558","https://openalex.org/W2278044631","https://openalex.org/W2991009609","https://openalex.org/W2111711040","https://openalex.org/W2779645346","https://openalex.org/W2040737188","https://openalex.org/W3182860318","https://openalex.org/W275081035","https://openalex.org/W4226337177","https://openalex.org/W161142547"],"abstract_inverted_index":{"This":[0,19],"study":[1],"was":[2],"conducted":[3],"to":[4,31,152],"create":[5],"driving":[6,28,91,96,129,149,153],"episodes":[7,130],"using":[8,70,82,127,135],"machine-learning-based":[9],"algorithms":[10],"that":[11,94],"address":[12],"long-term":[13],"memory":[14,25],"(LTM)":[15],"and":[16,52,73,85,98,159],"topological":[17,68],"mapping.":[18],"paper":[20],"presents":[21],"a":[22,65,156],"novel":[23],"episodic":[24,115],"model":[26,35],"for":[27,54],"safety":[29],"according":[30,151],"traffic":[32],"scenes.":[33],"The":[34,101],"incorporates":[36],"three":[37],"important":[38],"features:":[39],"adaptive":[40],"resonance":[41],"theory":[42],"(ART),":[43],"which":[44,60,78,109],"learns":[45],"time-series":[46,55],"features":[47,84,150],"incrementally":[48],"while":[49],"maintaining":[50],"stability":[51],"plasticity":[53],"data;":[56],"self-organizing":[57],"maps":[58,81,89,106],"(SOMs),":[59],"represent":[61,90],"input":[62,83],"data":[63,138],"as":[64,114],"map":[66],"with":[67,131,141],"relations":[69],"self-mapping":[71],"characteristics;":[72],"counter":[74,86],"propagation":[75],"networks":[76],"(CPNs),":[77],"label":[79],"category":[80,145],"signals.":[87],"Category":[88],"episode":[92],"information":[93],"includes":[95],"contexts":[97],"facial":[99],"expressions.":[100],"bursting":[102],"states":[103],"of":[104,118,126],"respective":[105],"produce":[107],"LTM,":[108],"is":[110],"created":[111],"on":[112,155],"ART":[113],"memory.":[116],"Evaluation":[117],"the":[119,124],"experimentally":[120],"obtained":[121,134],"results":[122],"show":[123],"possibility":[125],"recorded":[128],"image":[132],"datasets":[133],"an":[136,160],"event":[137],"recorder":[139],"(EDR)":[140],"two":[142],"cameras.":[143],"Using":[144],"maps,":[146],"we":[147],"visualize":[148],"scenes":[154],"public":[157],"road":[158],"expressway.":[161]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}