{"id":"https://openalex.org/W4396508010","doi":"https://doi.org/10.1109/enc60556.2023.10508665","title":"Genetic Algorithm-driven Image Processing Pipeline for Classifying Three Bird Species: An Empirical Study of Two Encoding","display_name":"Genetic Algorithm-driven Image Processing Pipeline for Classifying Three Bird Species: An Empirical Study of Two Encoding","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4396508010","doi":"https://doi.org/10.1109/enc60556.2023.10508665"},"language":"en","primary_location":{"id":"doi:10.1109/enc60556.2023.10508665","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/enc60556.2023.10508665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Mexican International Conference on Computer Science (ENC)","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/A5095946673","display_name":"Mar\u00eda Mercedes Vidal-Ram\u00edrez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Mercedes Vidal-Ram\u00edrez","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080385583","display_name":"Nancy P\u00e9rez-Castro","orcid":"https://orcid.org/0000-0002-1831-6148"},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Nancy P\u00e9rez-Castro","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062430889","display_name":"Felipe Becerril Morales","orcid":"https://orcid.org/0000-0003-4044-3589"},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Felipe Becerril Morales","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111185246","display_name":"Ariel L\u00f3pez-Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Ariel L\u00f3pez-Rodr\u00edguez","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004899460","display_name":"Tania Z\u00fa\u00f1iga\u2010Marroqu\u00edn","orcid":"https://orcid.org/0000-0001-5546-6252"},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Tania Z\u00fa\u00f1iga-Marroqu\u00edn","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095946674","display_name":"Sergio Fabi\u00e1n Ru\u00edz-Paz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098721","display_name":"Universidad del Papaloapan","ror":"https://ror.org/012wxwj57","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210098721"]},{"id":"https://openalex.org/I54203891","display_name":"Ferro (United States)","ror":"https://ror.org/03tah6c23","country_code":"US","type":"company","lineage":["https://openalex.org/I54203891"]}],"countries":["MX","US"],"is_corresponding":false,"raw_author_name":"Sergio Fabi\u00e1n Ru\u00edz-Paz","raw_affiliation_strings":["Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Papaloapan Av. Ferrocarril s/n, Ciudad Universitaria, Loma Bonita,Oaxaca,M&#x00E9;xico","institution_ids":["https://openalex.org/I4210098721","https://openalex.org/I54203891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064775942","display_name":"Gabriela D\u00edaz-F\u00e9lix","orcid":null},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Gabriela D\u00edaz-F\u00e9lix\u2020","raw_affiliation_strings":["Universidad Veracruzana Cto. Aguirre Beltr&#x00E1;n s/n, Zona universitaria Xalapa,Veracruz,M&#x00E9;xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Veracruzana Cto. Aguirre Beltr&#x00E1;n s/n, Zona universitaria Xalapa,Veracruz,M&#x00E9;xico","institution_ids":["https://openalex.org/I147280213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0680887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9685999751091003,"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7494696974754333},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6992369890213013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712393164634705},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.49030426144599915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48664388060569763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4723045825958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42355069518089294},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42245787382125854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3391580581665039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3240509629249573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2151777446269989},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06324663758277893}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7494696974754333},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6992369890213013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712393164634705},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.49030426144599915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48664388060569763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4723045825958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42355069518089294},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42245787382125854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3391580581665039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3240509629249573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2151777446269989},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06324663758277893}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/enc60556.2023.10508665","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/enc60556.2023.10508665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Mexican International Conference on Computer Science (ENC)","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":20,"referenced_works":["https://openalex.org/W2066796814","https://openalex.org/W2106614481","https://openalex.org/W2149397327","https://openalex.org/W2164274563","https://openalex.org/W2284330674","https://openalex.org/W2548118086","https://openalex.org/W2608595939","https://openalex.org/W2901150630","https://openalex.org/W3035686321","https://openalex.org/W3045004532","https://openalex.org/W3157740661","https://openalex.org/W3189984135","https://openalex.org/W3195755830","https://openalex.org/W4213351732","https://openalex.org/W4221152145","https://openalex.org/W4240592325","https://openalex.org/W4322760890","https://openalex.org/W6675864080","https://openalex.org/W6800205037","https://openalex.org/W6849956981"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2380685755","https://openalex.org/W2252100032","https://openalex.org/W4235381733","https://openalex.org/W2963436428","https://openalex.org/W4400978025","https://openalex.org/W2355022049","https://openalex.org/W2017449983","https://openalex.org/W2340724640"],"abstract_inverted_index":{"This":[0,196],"paper":[1],"introduces":[2],"iGRACE,":[3],"a":[4,119,134,198],"genetic":[5],"algorithm":[6],"designed":[7],"to":[8,204],"tackle":[9],"the":[10,42,49,57,80,84,131,138,159,166,172,185,192,206],"challenge":[11],"of":[12,52,59,89,104,118,137,187,194],"constructing":[13],"and":[14,34,68,92,107,153,171],"optimizing":[15],"image":[16,30,146],"processing":[17,147],"pipelines,":[18],"including":[19],"hyperparameters.":[20,53],"The":[21,36],"pipelines":[22,148],"encompass":[23],"vital":[24],"tasks":[25],"such":[26],"as":[27],"noise":[28],"filtering,":[29],"segmentation,":[31],"feature":[32],"extraction,":[33],"classification.":[35,195],"optimization":[37],"process":[38],"centers":[39],"around":[40],"minimizing":[41],"Cross":[43],"Validation":[44],"Error":[45],"Rate":[46],"(CVER)":[47],"through":[48],"tailored":[50],"selection":[51],"In":[54],"this":[55,163],"study,":[56],"efficacy":[58],"iGRACE":[60,98],"is":[61,100,180],"examined":[62],"using":[63],"two":[64,132],"distinct":[65],"encodings:":[66],"mixed":[67,85,160],"binary.":[69],"While":[70],"both":[71],"encodings":[72],"showcase":[73],"comparable":[74],"performance":[75],"based":[76],"on":[77],"numerical":[78,90,169,188],"metrics,":[79],"binary":[81],"encoding":[82,86],"outperforms":[83],"in":[87,144,184,191],"terms":[88],"results":[91,115],"execution":[93],"time.":[94],"However,":[95],"what":[96],"sets":[97],"apart":[99],"its":[101,114],"unique":[102],"attribute":[103],"providing":[105],"interpretable":[106],"explainable":[108],"solutions,":[109],"particularly":[110],"evident":[111],"when":[112,157],"comparing":[113],"with":[116],"those":[117],"Convolutional":[120],"Neural":[121],"Network":[122],"(CNN).":[123],"Although":[124],"no":[125],"statistically":[126],"significant":[127],"differences":[128],"emerge":[129],"between":[130,168],"encodings,":[133],"closer":[135],"examination":[136],"visual":[139],"outcomes":[140],"underscores":[141],"iGRACE\u2019s":[142],"strength":[143],"generating":[145],"that":[149],"are":[150],"more":[151],"intuitive":[152],"comprehensible":[154],"for":[155,182,201],"endusers":[156],"employing":[158],"encoding.":[161],"Notably,":[162],"insight":[164],"highlights":[165],"trade-off":[167],"superiority":[170],"interpretability":[173],"advantage":[174],"offered":[175],"by":[176],"iGRACE.":[177],"Furthermore,":[178],"there":[179],"room":[181],"improvement":[183],"accuracy":[186],"prediction":[189],"values":[190],"realm":[193],"signifies":[197],"potential":[199],"avenue":[200],"future":[202],"refinements":[203],"enhance":[205],"algorithm\u2019s":[207],"predictive":[208],"capabilities.":[209]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
