{"id":"https://openalex.org/W2735094132","doi":"https://doi.org/10.1145/3067695.3075989","title":"Learning figure-ground image segmentors by genetic programming","display_name":"Learning figure-ground image segmentors by genetic programming","publication_year":2017,"publication_date":"2017-07-11","ids":{"openalex":"https://openalex.org/W2735094132","doi":"https://doi.org/10.1145/3067695.3075989","mag":"2735094132"},"language":"en","primary_location":{"id":"doi:10.1145/3067695.3075989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3075989","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","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/A5057161595","display_name":"Yuyu Liang","orcid":"https://orcid.org/0000-0003-4554-344X"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yuyu Liang","raw_affiliation_strings":["Victoria University of Wellington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mengjie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065533636","display_name":"Will N. Browne","orcid":"https://orcid.org/0000-0001-8979-2224"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Will N. Browne","raw_affiliation_strings":["Victoria University of Wellington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.5537,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69080346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"239","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.8424790501594543},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.8056931495666504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549389600753784},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7218138575553894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023631930351257},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6395474672317505},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5937786102294922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5218928456306458},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4520242214202881},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43740665912628174},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4231763482093811},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4144970178604126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3553636372089386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2083459198474884}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8424790501594543},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8056931495666504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549389600753784},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7218138575553894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023631930351257},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6395474672317505},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5937786102294922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5218928456306458},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4520242214202881},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43740665912628174},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4231763482093811},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4144970178604126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3553636372089386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2083459198474884},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3067695.3075989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3075989","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1532497150","https://openalex.org/W1576818901","https://openalex.org/W2037227137","https://openalex.org/W2047751098","https://openalex.org/W2111522305"],"related_works":["https://openalex.org/W1498076474","https://openalex.org/W2597297359","https://openalex.org/W1853197018","https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W2106367837","https://openalex.org/W3008919350","https://openalex.org/W2964514499","https://openalex.org/W2008519116","https://openalex.org/W2011209865"],"abstract_inverted_index":{"Figure-ground":[0],"segmentation":[1,99],"is":[2,107],"an":[3],"important":[4],"image":[5,64],"processing":[6],"task":[7],"that":[8,89],"genetic":[9],"programming":[10],"(GP)":[11],"has":[12],"been":[13],"successfully":[14],"introduced":[15],"to":[16,42,59,62],"solve.":[17],"However,":[18,101],"existing":[19],"GP":[20,61,85],"methods":[21,56,73],"use":[22],"a":[23,75,80],"homogeneous":[24],"mixture":[25],"of":[26],"preprocessing":[27],"and":[28,45,67,79],"postprocessing":[29,68],"operators":[30,38],"for":[31,95],"segmentation.":[32],"This":[33],"can":[34,91],"result":[35],"in":[36,48,84,116],"inappropriate":[37],"being":[39],"connected,":[40],"leading":[41],"poor":[43],"performance":[44],"unnecessary":[46],"operations":[47],"solutions.":[49],"To":[50],"address":[51],"this":[52],"issue,":[53],"two":[54,72],"new":[55],"are":[57],"designed":[58],"enable":[60],"conduct":[63],"preprocessing,":[65],"binarisation":[66],"separately.":[69],"Specifically,":[70],"the":[71,96],"introduce":[74],"strongly-typed":[76],"representation":[77],"(StronglyGP)":[78],"two-stage":[81],"evolution":[82],"(TwostageGP)":[83],"respectively":[86],"Results":[87],"show":[88],"StronglyGP":[90],"evolve":[92],"effective":[93],"segmentors":[94],"given":[97],"complex":[98],"tasks.":[100],"TwostageGP":[102],"currently":[103],"performs":[104],"poorly,":[105],"which":[106,112],"likely":[108],"caused":[109],"by":[110],"overfitting,":[111],"will":[113],"be":[114],"addressed":[115],"future":[117],"work.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}