{"id":"https://openalex.org/W4285734545","doi":"https://doi.org/10.1145/3512290.3528783","title":"Genetic programming for structural similarity design at multiple spatial scales","display_name":"Genetic programming for structural similarity design at multiple spatial scales","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285734545","doi":"https://doi.org/10.1145/3512290.3528783"},"language":"en","primary_location":{"id":"doi:10.1145/3512290.3528783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528783","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10362/141872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066321928","display_name":"Illya Bakurov","orcid":"https://orcid.org/0000-0002-6458-942X"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Illya Bakurov","raw_affiliation_strings":["Universidade Nova de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Nova de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005266091","display_name":"Marco Buzzelli","orcid":"https://orcid.org/0000-0003-1138-3345"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Buzzelli","raw_affiliation_strings":["University of Milano - Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Milano - Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087976149","display_name":"Mauro Castelli","orcid":"https://orcid.org/0000-0002-8793-1451"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Mauro Castelli","raw_affiliation_strings":["Universidade Nova de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Nova de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028039581","display_name":"Raimondo Schettini","orcid":"https://orcid.org/0000-0001-7461-1451"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raimondo Schettini","raw_affiliation_strings":["University of Milano - Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Milano - Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056916227","display_name":"Leonardo Vanneschi","orcid":"https://orcid.org/0000-0003-4732-3328"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Leonardo Vanneschi","raw_affiliation_strings":["Universidade Nova de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Nova de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"911","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9986000061035156,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9986000061035156,"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":0.9707000255584717,"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/T11666","display_name":"Color Science and Applications","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743141233921051},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6138769388198853},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6063229441642761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570871114730835},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5463448762893677},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5462692379951477},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5318251252174377},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5144896507263184},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4873140752315521},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4546331763267517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4511883556842804},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4437682628631592},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4323852062225342},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41900891065597534},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4158173203468323},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41503477096557617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3458775281906128},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30062806606292725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743141233921051},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6138769388198853},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6063229441642761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570871114730835},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5463448762893677},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5462692379951477},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5318251252174377},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5144896507263184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4873140752315521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4546331763267517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4511883556842804},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4437682628631592},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4323852062225342},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41900891065597534},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4158173203468323},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41503477096557617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3458775281906128},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30062806606292725},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3512290.3528783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528783","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/392150","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/392150","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:run.unl.pt:10362/141872","is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/141872","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference object"}],"best_oa_location":{"id":"pmh:oai:run.unl.pt:10362/141872","is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/141872","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference object"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5454278309","display_name":null,"funder_award_id":"/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G6926593413","display_name":"Melhorando a Aprendizagem Profunda Bio-Inspirada para a Radi\u00f3mica","funder_award_id":"PTDC/CCI-INF/29168/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1545192369","https://openalex.org/W1576818901","https://openalex.org/W1974013408","https://openalex.org/W1975163393","https://openalex.org/W2084571779","https://openalex.org/W2114582993","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2159269332","https://openalex.org/W2163370434","https://openalex.org/W2216139323","https://openalex.org/W2331128040","https://openalex.org/W2412782625","https://openalex.org/W2563786098","https://openalex.org/W2586275201","https://openalex.org/W2604272474","https://openalex.org/W2724513197","https://openalex.org/W2888218591","https://openalex.org/W2921556238","https://openalex.org/W2962850830","https://openalex.org/W2962930383","https://openalex.org/W2964549159","https://openalex.org/W3007640169","https://openalex.org/W3022703598","https://openalex.org/W3083936559","https://openalex.org/W3096643039","https://openalex.org/W3109737331","https://openalex.org/W3123435446","https://openalex.org/W3165798215","https://openalex.org/W3211054674","https://openalex.org/W4249990232"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W206299888","https://openalex.org/W2102997898","https://openalex.org/W2549153708","https://openalex.org/W2140816515","https://openalex.org/W2381504162","https://openalex.org/W4285805598","https://openalex.org/W4318240128","https://openalex.org/W2381116869","https://openalex.org/W1983569565"],"abstract_inverted_index":{"The":[0,44,69,128],"growing":[1],"production":[2],"of":[3,34,51,74,143,188],"digital":[4],"content":[5],"and":[6,15,42,65,107,192],"its":[7,66,75],"dissemination":[8],"across":[9],"the":[10,32,52,58,117,121,125,133,137,144,166,182],"worldwide":[11],"web":[12],"require":[13],"eficient":[14],"precise":[16],"management.":[17],"In":[18],"this":[19],"context,":[20],"image":[21,36,64,82],"quality":[22,83],"assessment":[23],"measures":[24],"(IQAMs)":[25],"play":[26],"a":[27,61,91,186],"pivotal":[28],"role":[29],"in":[30,116],"guiding":[31],"development":[33],"numerous":[35],"processing":[37],"systems":[38],"for":[39,56,149,169],"compression,":[40],"enhancement,":[41],"restoration.":[43],"structural":[45],"similarity":[46,59],"index":[47],"(SSIM)":[48],"is":[49,72],"one":[50,73,170],"most":[53,76],"common":[54],"IQAMs":[55,167,191],"estimating":[57],"between":[60],"pristine":[62],"reference":[63],"corrupted":[67],"variant.":[68],"multi-scale":[70,100,151,190],"SSIM":[71],"popular":[77],"variants":[78],"that":[79,102,132,165],"allows":[80],"assessing":[81],"at":[84],"multiple":[85],"spatial":[86],"scales.":[87],"This":[88],"paper":[89,183],"proposes":[90],"two-stage":[92],"genetic":[93],"programming":[94],"(GP)":[95],"approach":[96,135],"to":[97,112,176],"evolve":[98],"novel":[99],"IQAMs,":[101],"are":[103,155],"simultaneously":[104],"more":[105,156],"effective":[106,157],"efficient.":[108],"We":[109,180],"use":[110],"GP":[111],"perform":[113],"feature":[114,145],"selection":[115,146],"first":[118],"stage,":[119],"while":[120],"second":[122],"stage":[123],"generates":[124],"final":[126],"solutions.":[127],"experimental":[129],"results":[130],"show":[131],"proposed":[134],"outperforms":[136],"existing":[138],"MS-SSIM.":[139],"A":[140],"comprehensive":[141],"analysis":[142],"indicates":[147],"that,":[148],"extracting":[150],"similarities,":[152],"spatially-varying":[153],"convolutions":[154],"than":[158],"dilated":[159],"convolutions.":[160],"Moreover,":[161],"we":[162],"provide":[163],"evidence":[164],"learned":[168],"database":[171],"can":[172],"be":[173],"successfully":[174],"transferred":[175],"previously":[177],"unseen":[178],"databases.":[179],"conclude":[181],"by":[184],"presenting":[185],"set":[187],"evolved":[189],"providing":[193],"their":[194],"interpretation.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}