{"id":"https://openalex.org/W3015139586","doi":"https://doi.org/10.1109/mce.2019.2959062","title":"<i>Deep Learning for Consumer Devices and Services 3\u2014</i>Getting More From Your Datasets With Data Augmentation","display_name":"<i>Deep Learning for Consumer Devices and Services 3\u2014</i>Getting More From Your Datasets With Data Augmentation","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3015139586","doi":"https://doi.org/10.1109/mce.2019.2959062","mag":"3015139586"},"language":"en","primary_location":{"id":"doi:10.1109/mce.2019.2959062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2019.2959062","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-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/A5066217549","display_name":"Peter Corcoran","orcid":"https://orcid.org/0000-0003-1670-4793"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Peter Corcoran","raw_affiliation_strings":["National University of Ireland Galway"],"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029241663","display_name":"Claudia Costacke","orcid":null},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Claudia Costacke","raw_affiliation_strings":["National University of Ireland Galway"],"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046197594","display_name":"Viktor Varkarakis","orcid":"https://orcid.org/0000-0002-3877-2802"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Viktor Varkarakis","raw_affiliation_strings":["National University of Ireland Galway"],"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029996716","display_name":"Joseph Lemley","orcid":"https://orcid.org/0000-0002-0595-2313"},"institutions":[{"id":"https://openalex.org/I33117478","display_name":"Xperi (Ireland)","ror":"https://ror.org/01kd5wn07","country_code":"IE","type":"company","lineage":["https://openalex.org/I33117478","https://openalex.org/I4210127493"]},{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Joseph Lemley","raw_affiliation_strings":["National University of Ireland Galway & Xperi Corporation, Galway"],"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway & Xperi Corporation, Galway","institution_ids":["https://openalex.org/I33117478","https://openalex.org/I188760350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066217549"],"corresponding_institution_ids":["https://openalex.org/I188760350"],"apc_list":null,"apc_paid":null,"fwci":1.0607,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76115866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"3","first_page":"48","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9886000156402588,"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/computer-science","display_name":"Computer science","score":0.8433495759963989},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.720901608467102},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.635821521282196},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5883482694625854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5303191542625427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5057246685028076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4982459545135498},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48428815603256226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47430944442749023},{"id":"https://openalex.org/keywords/small-data","display_name":"Small data","score":0.43303483724594116},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.415516197681427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32464322447776794},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08893397450447083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433495759963989},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.720901608467102},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.635821521282196},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5883482694625854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5303191542625427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5057246685028076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4982459545135498},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48428815603256226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47430944442749023},{"id":"https://openalex.org/C2779280203","wikidata":"https://www.wikidata.org/wiki/Q17121211","display_name":"Small data","level":2,"score":0.43303483724594116},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.415516197681427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32464322447776794},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08893397450447083},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mce.2019.2959062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2019.2959062","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2066593954","https://openalex.org/W2182644346","https://openalex.org/W2595991490","https://openalex.org/W2604262106","https://openalex.org/W2774581827","https://openalex.org/W2907897781","https://openalex.org/W3103557498","https://openalex.org/W6785841629"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W3000197790","https://openalex.org/W2995102745","https://openalex.org/W4286892028","https://openalex.org/W1540469842"],"abstract_inverted_index":{"A":[0,65],"key":[1],"aspect":[2],"to":[3,25,49,68],"developing":[4],"and":[5,27,56],"successfully":[6],"deploying":[7],"neural":[8],"network":[9],"(NN)-based":[10],"solutions":[11],"is":[12,75],"the":[13,23,33,41,69],"availability":[14],"of":[15,22,35,44,61,71],"suitable":[16],"datasets.":[17],"In":[18],"this":[19],"article":[20],"some":[21],"challenges":[24],"acquire":[26],"annotate":[28],"data":[29,46,73],"are":[30,54],"discussed":[31,57],"in":[32],"context":[34],"new":[36],"consumer":[37],"devices.":[38],"To":[39],"increase":[40],"sample":[42],"size":[43],"training":[45],"several":[47],"approaches":[48],"augment":[50],"a":[51,59],"seed":[52],"dataset":[53],"explained":[55],"including":[58],"number":[60],"advanced,":[62],"problem-specific":[63],"techniques.":[64],"basic":[66],"introduction":[67],"concept":[70],"learned":[72],"augmentation":[74],"also":[76],"provided.":[77]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
