{"id":"https://openalex.org/W2904055553","doi":"https://doi.org/10.1109/tnnls.2018.2881194","title":"Visualization Methods for Image Transformation Convolutional Neural Networks","display_name":"Visualization Methods for Image Transformation Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-12-11","ids":{"openalex":"https://openalex.org/W2904055553","doi":"https://doi.org/10.1109/tnnls.2018.2881194","mag":"2904055553","pmid":"https://pubmed.ncbi.nlm.nih.gov/30561353"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2881194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2881194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5087897903","display_name":"\u00c9glen Protas","orcid":"https://orcid.org/0000-0002-6772-8931"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eglen Protas","raw_affiliation_strings":["Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6772-8931","affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021221460","display_name":"Jose Bratti","orcid":"https://orcid.org/0000-0002-6491-4317"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Douglas Bratti","raw_affiliation_strings":["Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6491-4317","affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000781367","display_name":"Joel Felipe O. Gaya","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joel F. O. Gaya","raw_affiliation_strings":["Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037041582","display_name":"Paulo Drews","orcid":"https://orcid.org/0000-0002-7519-0502"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Drews","raw_affiliation_strings":["Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7519-0502","affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029568844","display_name":"S\u00edlvia Silva da Costa Botelho","orcid":"https://orcid.org/0000-0002-8857-0221"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvia S. C. Botelho","raw_affiliation_strings":["Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-8857-0221","affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande, Rio Grande, NAUTEC, Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6961,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.88927712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"30","issue":"7","first_page":"2231","last_page":"2243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9969000220298767,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9945999979972839,"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/visualization","display_name":"Visualization","score":0.896965503692627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8540055751800537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8365013599395752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6316628456115723},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5119946599006653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4781162142753601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47716158628463745},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.44876620173454285}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.896965503692627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8540055751800537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365013599395752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6316628456115723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5119946599006653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4781162142753601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47716158628463745},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.44876620173454285},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2018.2881194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2881194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30561353","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30561353","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322502","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul","ror":"https://ror.org/05k49za97"},{"id":"https://openalex.org/F4320323909","display_name":"Ag\u00eancia Nacional do Petr\u00f3leo, G\u00e1s Natural e Biocombust\u00edveis","ror":"https://ror.org/00phthq42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1522301498","https://openalex.org/W1825675169","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W1932198206","https://openalex.org/W1973569872","https://openalex.org/W2009071067","https://openalex.org/W2041285268","https://openalex.org/W2082968119","https://openalex.org/W2091420866","https://openalex.org/W2097117768","https://openalex.org/W2098477387","https://openalex.org/W2098883970","https://openalex.org/W2103504761","https://openalex.org/W2112796928","https://openalex.org/W2114867966","https://openalex.org/W2117539524","https://openalex.org/W2124964692","https://openalex.org/W2128254161","https://openalex.org/W2132947399","https://openalex.org/W2146337213","https://openalex.org/W2156936307","https://openalex.org/W2163605009","https://openalex.org/W2171740948","https://openalex.org/W2190008860","https://openalex.org/W2194775991","https://openalex.org/W2253993278","https://openalex.org/W2256362396","https://openalex.org/W2293581118","https://openalex.org/W2326925005","https://openalex.org/W2406310103","https://openalex.org/W2440817021","https://openalex.org/W2561687851","https://openalex.org/W2767248074","https://openalex.org/W2783153039","https://openalex.org/W2784043968","https://openalex.org/W2949117887","https://openalex.org/W2949324732","https://openalex.org/W2951234442","https://openalex.org/W2962851944","https://openalex.org/W2963470893","https://openalex.org/W2963591054","https://openalex.org/W2964350391","https://openalex.org/W4300485620","https://openalex.org/W6638389677","https://openalex.org/W6638667902","https://openalex.org/W6640300313","https://openalex.org/W6674855086","https://openalex.org/W6678856934","https://openalex.org/W6681686951","https://openalex.org/W6684191040","https://openalex.org/W6685261749","https://openalex.org/W6691820373","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2081517010","https://openalex.org/W2121496884","https://openalex.org/W2387910809","https://openalex.org/W2294221496"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,59],"networks":[2,81],"(CNNs)":[3],"are":[4,46,87],"powerful":[5],"machine":[6],"learning":[7],"models":[8,37],"that":[9,49,95],"have":[10,63],"become":[11],"the":[12,15,21,30,55,75,83,114,118,127],"state":[13],"of":[14,23,32,58,77,89,120,134],"art":[16],"in":[17,20,107],"several":[18],"problems":[19],"areas":[22],"computer":[24],"vision":[25],"and":[26,34,85,110],"image":[27,122],"processing.":[28],"Nevertheless,":[29],"knowledge":[31,115],"why":[33],"how":[35,102],"these":[36,103],"present":[38],"an":[39,121],"impressive":[40],"performance":[41],"is":[42],"still":[43],"limited.":[44],"There":[45],"visualization":[47,78,96,119],"techniques":[48],"can":[50],"help":[51],"us":[52],"to":[53,67,80,125],"understand":[54],"inner":[56],"working":[57],"networks.":[60],"However,":[61],"they":[62],"mostly":[64],"been":[65],"applied":[66],"classification":[68],"models.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"evaluate":[74],"application":[76],"methods":[79],"where":[82],"input":[84],"output":[86],"images":[88],"proportional":[90],"dimensions.":[91],"The":[92],"results":[93],"show":[94],"brings":[97],"visual":[98],"cues":[99],"associated":[100],"with":[101,130],"systems":[104],"work,":[105],"helping":[106],"their":[108],"understanding":[109],"improvement.":[111],"We":[112],"use":[113],"obtained":[116],"from":[117],"restoration":[123],"CNN":[124],"improve":[126],"architecture's":[128],"efficiency":[129],"no":[131],"significant":[132],"degradation":[133],"its":[135],"performance.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}