{"id":"https://openalex.org/W4312719389","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991759","title":"Visualization for Machine Learning","display_name":"Visualization for Machine Learning","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4312719389","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991759"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi55357.2022.9991759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5036139759","display_name":"Peter Xenopoulos","orcid":"https://orcid.org/0000-0001-8594-3400"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Xenopoulos","raw_affiliation_strings":["New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011424640","display_name":"Lu\u00eds Gustavo Nonato","orcid":"https://orcid.org/0000-0002-8514-8033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Gustavo Nonato","raw_affiliation_strings":["Universidade de S&#x02DC;ao Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S&#x02DC;ao Paulo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003584200","display_name":"Claudio Silva","orcid":"https://orcid.org/0000-0003-2452-2295"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claudio Silva","raw_affiliation_strings":["New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1015,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41389177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"89","issue":null,"first_page":"294","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8416157960891724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8204588890075684},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5655213594436646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5212512612342834},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.49863481521606445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4922312796115875},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48929449915885925},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4712546169757843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4548547565937042},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.45173510909080505},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4391908049583435},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4259081184864044},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.42325106263160706}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8416157960891724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204588890075684},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5655213594436646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5212512612342834},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.49863481521606445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4922312796115875},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48929449915885925},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4712546169757843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4548547565937042},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.45173510909080505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4391908049583435},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4259081184864044},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.42325106263160706},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi55357.2022.9991759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49000000953674316,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307785","display_name":"3M","ror":"https://ror.org/00mgss748"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W73593153","https://openalex.org/W232876404","https://openalex.org/W1213593253","https://openalex.org/W1517796226","https://openalex.org/W1599263113","https://openalex.org/W1607787316","https://openalex.org/W1678356000","https://openalex.org/W1830471444","https://openalex.org/W1963992598","https://openalex.org/W1967994289","https://openalex.org/W1974584593","https://openalex.org/W2012457675","https://openalex.org/W2022860576","https://openalex.org/W2067978923","https://openalex.org/W2102478372","https://openalex.org/W2117500970","https://openalex.org/W2123045220","https://openalex.org/W2127058057","https://openalex.org/W2128021408","https://openalex.org/W2128728535","https://openalex.org/W2144044408","https://openalex.org/W2162825485","https://openalex.org/W2187089797","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2343061342","https://openalex.org/W2512274390","https://openalex.org/W2512304460","https://openalex.org/W2560656592","https://openalex.org/W2594633041","https://openalex.org/W2607223307","https://openalex.org/W2613800022","https://openalex.org/W2626967530","https://openalex.org/W2752194699","https://openalex.org/W2753153359","https://openalex.org/W2753713840","https://openalex.org/W2768348081","https://openalex.org/W2786672974","https://openalex.org/W2790527456","https://openalex.org/W2792325037","https://openalex.org/W2807795618","https://openalex.org/W2889730816","https://openalex.org/W2891130433","https://openalex.org/W2911964244","https://openalex.org/W2917792182","https://openalex.org/W2923421605","https://openalex.org/W2933254221","https://openalex.org/W2936109192","https://openalex.org/W2962772482","https://openalex.org/W2962858109","https://openalex.org/W2962862931","https://openalex.org/W2963039693","https://openalex.org/W2963214037","https://openalex.org/W2963483561","https://openalex.org/W2964022491","https://openalex.org/W2964026977","https://openalex.org/W2964200170","https://openalex.org/W2969224142","https://openalex.org/W2971102824","https://openalex.org/W2973631113","https://openalex.org/W2981265119","https://openalex.org/W2995991797","https://openalex.org/W3006437051","https://openalex.org/W3021941048","https://openalex.org/W3023454035","https://openalex.org/W3032086959","https://openalex.org/W3043937498","https://openalex.org/W3044826997","https://openalex.org/W3085380432","https://openalex.org/W3090266290","https://openalex.org/W3105399058","https://openalex.org/W3105959310","https://openalex.org/W3208416788","https://openalex.org/W4200632480","https://openalex.org/W4212863283","https://openalex.org/W4213243564","https://openalex.org/W4226205113","https://openalex.org/W4233690291","https://openalex.org/W4254491045","https://openalex.org/W4287643567","https://openalex.org/W4287817216","https://openalex.org/W4297459698","https://openalex.org/W4300021708","https://openalex.org/W6602002561","https://openalex.org/W6609126827","https://openalex.org/W6635733909","https://openalex.org/W6636338475","https://openalex.org/W6637404493","https://openalex.org/W6638826523","https://openalex.org/W6677995690","https://openalex.org/W6734194636","https://openalex.org/W6737947904","https://openalex.org/W6739651123","https://openalex.org/W6745609711","https://openalex.org/W6748816842","https://openalex.org/W6750391026","https://openalex.org/W6750729320","https://openalex.org/W6760229103","https://openalex.org/W6761586423","https://openalex.org/W6767857164","https://openalex.org/W6775836593","https://openalex.org/W6780941489","https://openalex.org/W6781231977","https://openalex.org/W6783213970","https://openalex.org/W6786513370","https://openalex.org/W6805043871","https://openalex.org/W6810512935"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2126824079","https://openalex.org/W2080934634","https://openalex.org/W2564956852","https://openalex.org/W2112083262","https://openalex.org/W2013467770"],"abstract_inverted_index":{"As":[0],"machine":[1,19,44,79],"learning":[2,20,45,80,115],"has":[3,8],"increased":[4],"in":[5,13,35,72,103],"popularity,":[6],"visualization":[7,23,77,105],"taken":[9],"an":[10],"important":[11],"role":[12],"analyzing":[14],"and":[15,34,93,100,112],"communicating":[16],"aspects":[17],"of":[18,32,69],"models.":[21],"Increasingly,":[22],"techniques":[24,87],"are":[25],"being":[26],"used":[27],"across":[28],"a":[29,62,66],"broad":[30,67],"set":[31],"domains":[33],"business-critical":[36],"use":[37,76],"cases.":[38],"Oftentimes,":[39],"these":[40],"visualizations":[41],"convey":[42],"non-trivial":[43],"concepts,":[46],"utilize":[47],"complex":[48],"visual":[49,86],"representations,":[50],"or":[51],"demand":[52],"user":[53],"interaction.":[54],"In":[55,82],"this":[56],"tutorial,":[57],"we":[58,74,84,97],"seek":[59],"to":[60,65],"provide":[61],"foundational":[63],"understanding,":[64,92],"audience,":[68],"the":[70],"ways":[71],"which":[73],"can":[75],"for":[78,88],"tasks.":[81],"particular,":[83],"detail":[85],"model":[89,91,116],"assessment,":[90],"dimensionality":[94],"reduction.":[95],"Furthermore,":[96],"outline":[98],"foundations":[99],"recent":[101],"work":[102],"emerging":[104],"topics":[106],"such":[107],"as":[108],"topological":[109],"data":[110],"analysis":[111],"understanding":[113],"deep":[114],"internals.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
