{"id":"https://openalex.org/W3046558224","doi":"https://doi.org/10.1145/3377929.3389981","title":"Image feature learning with a genetic programming autoencoder","display_name":"Image feature learning with a genetic programming autoencoder","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046558224","doi":"https://doi.org/10.1145/3377929.3389981","mag":"3046558224"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5011541744","display_name":"Stefano Ruberto","orcid":"https://orcid.org/0000-0001-8666-2782"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stefano Ruberto","raw_affiliation_strings":["Institute for Biomedical Informatics"],"affiliations":[{"raw_affiliation_string":"Institute for Biomedical Informatics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068101658","display_name":"Valerio Terragni","orcid":"https://orcid.org/0000-0001-5885-9297"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Valerio Terragni","raw_affiliation_strings":["Faculty of Informatics, Lugano, Switzerland"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032971510","display_name":"Jason H. Moore","orcid":"https://orcid.org/0000-0002-5015-1099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason H. Moore","raw_affiliation_strings":["Institute for Biomedical Informatics"],"affiliations":[{"raw_affiliation_string":"Institute for Biomedical Informatics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011541744"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78317904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":1.0,"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":0.9922999739646912,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9304999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.9800078272819519},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9195529818534851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7670369148254395},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7626585960388184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368790507316589},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6682648658752441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6462415456771851},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5132632255554199},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4795657992362976},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4725755751132965},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4468737244606018},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43653595447540283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4272032380104065},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4171191453933716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11366167664527893}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9800078272819519},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9195529818534851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7670369148254395},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7626585960388184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368790507316589},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6682648658752441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6462415456771851},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5132632255554199},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4795657992362976},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4725755751132965},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4468737244606018},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43653595447540283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4272032380104065},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4171191453933716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11366167664527893},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3389981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1519072852","https://openalex.org/W2935836116","https://openalex.org/W2945079400","https://openalex.org/W2966275995","https://openalex.org/W3003906476"],"related_works":["https://openalex.org/W4287646629","https://openalex.org/W3092183036","https://openalex.org/W4213225422","https://openalex.org/W4324107480","https://openalex.org/W2785535669","https://openalex.org/W4293582597","https://openalex.org/W2578760059","https://openalex.org/W3199863078","https://openalex.org/W2970285471","https://openalex.org/W2887732792"],"abstract_inverted_index":{"Learning":[0],"features":[1,22],"from":[2,23],"raw":[3],"data":[4],"is":[5,27],"an":[6,36],"important":[7],"topic":[8],"in":[9],"machine":[10],"learning.":[11],"This":[12],"paper":[13],"presents":[14],"a":[15,28,47,53,71],"novel":[16],"GP":[17,42],"approach":[18,30,39,82,101],"to":[19],"learn":[20],"high-level":[21,55],"2D":[24,89],"images.":[25,60,78],"It":[26],"generative":[29],"that":[31,50,74,98],"resembles":[32],"the":[33,58,64,76,84,105],"concept":[34],"of":[35,57,88],"autoencoder.":[37],"Our":[38,94],"executes":[40],"multiple":[41],"runs,":[43],"each":[44,68],"run":[45,69],"generates":[46],"(partial)":[48],"model":[49],"focuses":[51],"on":[52,83],"particular":[54],"feature":[56],"training":[59],"Then,":[61],"it":[62],"combines":[63],"models":[65],"generated":[66],"by":[67],"into":[70],"parametric":[72,100],"function":[73],"reconstructs":[75],"observed":[77],"We":[79],"evaluated":[80],"our":[81,99],"popular":[85],"MNIST":[86,106],"dataset":[87],"images":[90],"representing":[91],"handwritten":[92],"digits.":[93,108],"evaluation":[95],"results":[96],"show":[97],"can":[102],"precisely":[103],"reconstruct":[104],"hand-written":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
