{"id":"https://openalex.org/W3046917272","doi":"https://doi.org/10.1145/3377929.3390076","title":"Finding a better basis on binary representation through DNN-based epistasis estimation","display_name":"Finding a better basis on binary representation through DNN-based epistasis estimation","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046917272","doi":"https://doi.org/10.1145/3377929.3390076","mag":"3046917272"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3390076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5068380141","display_name":"Yong-Hoon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yong-Hoon Kim","raw_affiliation_strings":["Kwangwoon Univ., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon Univ., Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046031351","display_name":"Yong-Hyuk Kim","orcid":"https://orcid.org/0000-0002-0492-0889"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Hyuk Kim","raw_affiliation_strings":["Kwangwoon Univ., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon Univ., Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068380141"],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68458901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9746999740600586,"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":0.9746999740600586,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/epistasis","display_name":"Epistasis","score":0.9325851202011108},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.7940273880958557},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6645728349685669},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6194674372673035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574711799621582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44943368434906006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42000892758369446},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41108018159866333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35228362679481506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3312412202358246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3231236934661865},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14959636330604553},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.0879395604133606},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.06591665744781494}],"concepts":[{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.9325851202011108},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.7940273880958557},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6645728349685669},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6194674372673035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574711799621582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44943368434906006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42000892758369446},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41108018159866333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35228362679481506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3312412202358246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3231236934661865},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14959636330604553},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0879395604133606},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.06591665744781494},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3390076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3390076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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":3,"referenced_works":["https://openalex.org/W2110229765","https://openalex.org/W2874710892","https://openalex.org/W2957294211"],"related_works":["https://openalex.org/W1547817677","https://openalex.org/W2023460495","https://openalex.org/W2615678788","https://openalex.org/W1967902778","https://openalex.org/W3083099115","https://openalex.org/W1981509636","https://openalex.org/W4235217192","https://openalex.org/W3035525216","https://openalex.org/W2099041096","https://openalex.org/W2011017119"],"abstract_inverted_index":{"Epistasis":[0],"indicating":[1],"problem":[2,13],"difficulty":[3],"can":[4],"be":[5],"used":[6],"to":[7,51,59],"evaluate":[8],"the":[9,12,48,52,55,67],"basis":[10,41],"of":[11,46],"space.":[14],"However,":[15],"calculating":[16],"epistasis":[17,33,63],"is":[18,38],"difficult":[19],"as":[20],"it":[21],"requires":[22],"searching":[23],"all":[24],"solutions.":[25],"In":[26],"this":[27],"study,":[28],"a":[29,44],"method":[30,50,56],"that":[31],"estimates":[32],"using":[34],"deep":[35],"neural":[36],"networks":[37],"proposed":[39,49],"for":[40],"evaluation.":[42],"As":[43],"result":[45],"applying":[47],"Variant-OneMax":[53],"problem,":[54],"was":[57],"able":[58],"successfully":[60],"make":[61],"estimations":[62],"and":[64],"significantly":[65],"reduce":[66],"computing":[68],"time.":[69]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}