{"id":"https://openalex.org/W4403535003","doi":"https://doi.org/10.1109/codit62066.2024.10708280","title":"Genetic Algorithm and Binary Masks for Co-Learning Multiple Dataset in Deep Neural Networks","display_name":"Genetic Algorithm and Binary Masks for Co-Learning Multiple Dataset in Deep Neural Networks","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403535003","doi":"https://doi.org/10.1109/codit62066.2024.10708280"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080936065","display_name":"\u00d6zlem Turan","orcid":null},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00d6. Turan","raw_affiliation_strings":["Hacettepe University,Dept. of Computer Engineering,Ankara,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hacettepe University,Dept. of Computer Engineering,Ankara,Türkiye","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087840669","display_name":"Mehmet \u00d6nder Efe","orcid":"https://orcid.org/0000-0002-5992-895X"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. \u00d6. Efe","raw_affiliation_strings":["Hacettepe University,Dept. of Computer Engineering,Ankara,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hacettepe University,Dept. of Computer Engineering,Ankara,Türkiye","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66514158"],"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":"34","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.35359999537467957,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.35359999537467957,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.30559998750686646,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.3012999892234802,"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/computer-science","display_name":"Computer science","score":0.7239329814910889},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6383904814720154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006453037261963},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5906708240509033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5898600816726685},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5498797297477722},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.45969951152801514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.418628454208374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35869765281677246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504389822483063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09838062524795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239329814910889},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6383904814720154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006453037261963},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5906708240509033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5898600816726685},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5498797297477722},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45969951152801514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.418628454208374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35869765281677246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504389822483063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09838062524795532},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit62066.2024.10708280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2079143456","https://openalex.org/W2116903348","https://openalex.org/W2473930607","https://openalex.org/W2479609865","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2778749116","https://openalex.org/W2791091755","https://openalex.org/W2875435464","https://openalex.org/W2912497767","https://openalex.org/W2919115771","https://openalex.org/W2946739419","https://openalex.org/W2963072899","https://openalex.org/W2963759595","https://openalex.org/W2964248489","https://openalex.org/W2967925425","https://openalex.org/W3000677656","https://openalex.org/W3118689923","https://openalex.org/W3146366485","https://openalex.org/W3211384591","https://openalex.org/W4287752407","https://openalex.org/W4288101827","https://openalex.org/W4312108280","https://openalex.org/W6734593296","https://openalex.org/W6759001543","https://openalex.org/W6766897141","https://openalex.org/W6769247497","https://openalex.org/W6780069234","https://openalex.org/W6803011658"],"related_works":["https://openalex.org/W2372415543","https://openalex.org/W2354205711","https://openalex.org/W2808717917","https://openalex.org/W2377292223","https://openalex.org/W2366584243","https://openalex.org/W2376563992","https://openalex.org/W2360006733","https://openalex.org/W4304590249","https://openalex.org/W2366368367","https://openalex.org/W2385996327"],"abstract_inverted_index":{"This":[0],"study":[1,33],"addresses":[2],"the":[3,13,22,32],"challenges":[4],"of":[5,15,24,31,101],"'catastrophic":[6],"forgetting'":[7],"and":[8,18,90,109],"'multi-task":[9],"learning'":[10],"encountered":[11],"in":[12],"field":[14],"data":[16],"classification":[17,99],"analysis,":[19],"particularly":[20],"with":[21],"use":[23],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNNs).":[28],"The":[29,92],"aim":[30],"is":[34],"to":[35,40,56,70],"employ":[36],"genetic":[37],"algorithm":[38],"(GA)":[39],"mitigate":[41],"these":[42],"issues.":[43],"Methodologically,":[44],"we":[45],"have":[46,79],"developed":[47],"an":[48],"optimization":[49],"strategy":[50],"that":[51,116],"utilizes":[52],"layer-based":[53],"binary":[54,73],"masks":[55],"tailor":[57],"CNNs":[58],"models":[59,123],"for":[60,75,103,106,111,126,132],"multiple":[61,133],"dataset.":[62,77],"GA":[63],"serves":[64],"as":[65,86],"a":[66,72,127],"heuristic":[67],"search":[68],"method":[69],"optimize":[71],"mask":[74],"each":[76],"Experiments":[78],"been":[80],"conducted":[81],"on":[82],"widely-used":[83],"dataset":[84],"such":[85],"MNIST,":[87,89,104,108],"Fashion":[88,107],"KMNIST.":[91,112],"obtained":[93],"results":[94],"are":[95],"notably":[96],"impressive,":[97],"yielding":[98],"accuracies":[100],"76.25%":[102],"76%":[105],"74.43%":[110],"These":[113],"findings":[114],"demonstrate":[115],"our":[117],"proposed":[118],"approach":[119],"can":[120],"generate":[121],"high-performance":[122],"not":[124],"only":[125],"single":[128],"task":[129],"but":[130],"also":[131],"tasks.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}