{"id":"https://openalex.org/W3205260761","doi":"https://doi.org/10.1145/3475720.3476877","title":"Deep Learning for Historical Data Analysis","display_name":"Deep Learning for Historical Data Analysis","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3205260761","doi":"https://doi.org/10.1145/3475720.3476877","mag":"3205260761"},"language":"en","primary_location":{"id":"doi:10.1145/3475720.3476877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3475720.3476877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents","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/A5061634216","display_name":"Mathieu Aubry","orcid":"https://orcid.org/0000-0002-3804-0193"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mathieu Aubry","raw_affiliation_strings":["LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne la Vallee, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne la Vallee, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061634216"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210152518","https://openalex.org/I4210154111"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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":0.9975000023841858,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9857000112533569,"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":0.7661501169204712},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6787670850753784},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.616649329662323},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6091618537902832},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6063493490219116},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.5586625337600708},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5222452282905579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49486082792282104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4747897982597351},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43772727251052856},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4340868890285492},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33664536476135254},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.12067598104476929},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11651208996772766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661501169204712},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6787670850753784},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.616649329662323},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6091618537902832},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6063493490219116},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.5586625337600708},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5222452282905579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49486082792282104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4747897982597351},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43772727251052856},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4340868890285492},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33664536476135254},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.12067598104476929},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11651208996772766},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3475720.3476877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3475720.3476877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents","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":8,"referenced_works":["https://openalex.org/W2965570799","https://openalex.org/W3036333165","https://openalex.org/W3094761124","https://openalex.org/W3107284742","https://openalex.org/W3112637210","https://openalex.org/W3158775450","https://openalex.org/W3161478086","https://openalex.org/W3196221922"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"This":[0],"presentation":[1],"will":[2,34,57,94],"give":[3,100],"an":[4],"overview":[5],"of":[6,28,118],"projects":[7],"on":[8],"leveraging":[9],"deep":[10,38],"learning":[11,39],"for":[12,76],"historical":[13,64,67,86],"data":[14,120],"analysis":[15,88],"my":[16],"group":[17],"did":[18],"in":[19,25,49,51,85],"the":[20,26,29,116,119,122,126],"last":[21],"3":[22],"years,":[23],"partly":[24],"context":[27],"ANR":[30],"EnHerit":[31],"project.":[32],"I":[33,56,93],"first":[35],"discuss":[36],"how":[37],"can":[40,99],"be":[41],"used":[42],"to":[43,63],"retrieve":[44],"and":[45,81,121],"analyze":[46],"repeated":[47],"details":[48],"artworks":[50],"artwork":[52],"collections":[53],"[5,":[54],"6].":[55],"then":[58],"present":[59],"several":[60],"problems":[61],"related":[62],"document":[65,71],"analysis:":[66],"watermarks":[68],"recognition":[69],"[7],":[70],"images":[72],"segmentation":[73],"[2],":[74],"clustering":[75],"text":[77],"modelling":[78],"[3,":[79],"4],":[80],"scientific":[82],"illustration":[83],"propagation":[84],"manuscripts":[87],"[1].":[89],"In":[90],"all":[91],"cases,":[92],"show":[95],"that":[96,108,112],"standard":[97],"approaches":[98,111],"useful":[101],"baseline":[102],"results":[103],"when":[104],"tuned":[105],"adequately,":[106],"but":[107],"developing":[109],"dedicated":[110],"take":[113],"into":[114],"account":[115],"specificity":[117],"problem":[123],"significantly":[124],"improves":[125],"results.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
