{"id":"https://openalex.org/W2795133445","doi":"https://doi.org/10.1007/s00371-020-01922-5","title":"Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy","display_name":"Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy","publication_year":2020,"publication_date":"2020-07-28","ids":{"openalex":"https://openalex.org/W2795133445","doi":"https://doi.org/10.1007/s00371-020-01922-5","mag":"2795133445"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-020-01922-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-020-01922-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-020-01922-5.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00371-020-01922-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084145402","display_name":"Florian Scheidegger","orcid":"https://orcid.org/0000-0003-0430-3634"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Florian Scheidegger","raw_affiliation_strings":["ETH Z\u00fcrich, R\u00e4mistrasse 101, 8092, Z\u00fcrich, Switzerland","IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland","IBM Research - Z\u00fcrich, R\u00fcschlikon, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-0430-3634","affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, R\u00e4mistrasse 101, 8092, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"IBM Research - Z\u00fcrich, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009342382","display_name":"Roxana Istrate","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH","GB"],"is_corresponding":false,"raw_author_name":"Roxana Istrate","raw_affiliation_strings":["IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","Queen\u2019s University of Belfast, University Road, Belfast, BT7 1NN, Northern Ireland, UK","IBM Research - Z\u00fcrich, R\u00fcschlikon, Switzerland","Queen\u2019s University of Belfast, Northern Ireland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"Queen\u2019s University of Belfast, University Road, Belfast, BT7 1NN, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"IBM Research - Z\u00fcrich, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"Queen\u2019s University of Belfast, Northern Ireland, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075709004","display_name":"Giovanni Mariani","orcid":"https://orcid.org/0000-0001-7611-5187"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Giovanni Mariani","raw_affiliation_strings":["IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","IBM Res.-Zurich, Ruschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"IBM Res.-Zurich, Ruschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210146975","display_name":"Zambon (Italy)","ror":"https://ror.org/04zzq8d03","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210146975"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["ETH Z\u00fcrich, R\u00e4mistrasse 101, 8092, Z\u00fcrich, Switzerland","Universit\u00e0 di Bologna, Via Zamboni 33, 40126, Bologna, Italy","Universit\u00e0 di Bologna, Bologna, Italy","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, R\u00e4mistrasse 101, 8092, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Universit\u00e0 di Bologna, Via Zamboni 33, 40126, Bologna, Italy","institution_ids":["https://openalex.org/I9360294","https://openalex.org/I4210146975"]},{"raw_affiliation_string":"Universit\u00e0 di Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110940665","display_name":"Costas Bekas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Costas Bekas","raw_affiliation_strings":["IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","IBM Res.-Zurich, Ruschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"IBM Res.-Zurich, Ruschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024547500","display_name":"Cristiano Malossi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Cristiano Malossi","raw_affiliation_strings":["IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","IBM Res.-Zurich, Ruschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Z\u00fcrich, S\u00e4umerstrasse 4, 8803, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]},{"raw_affiliation_string":"IBM Res.-Zurich, Ruschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.1958,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.46776436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":"6","first_page":"1593","last_page":"1610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7425934076309204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.700171947479248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6379398703575134},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6304841041564941},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5938420295715332},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5685054063796997},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4591907560825348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4578910768032074},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44636696577072144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44005563855171204},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4310770630836487},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4236219525337219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35545650124549866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425934076309204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.700171947479248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6379398703575134},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6304841041564941},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5938420295715332},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5685054063796997},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4591907560825348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4578910768032074},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44636696577072144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44005563855171204},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4310770630836487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4236219525337219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35545650124549866},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s00371-020-01922-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-020-01922-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-020-01922-5.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1803.09588","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09588","pdf_url":"https://arxiv.org/pdf/1803.09588","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/437967","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/437967","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Visual Computer, 37 (6)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.48550/arxiv.1803.09588","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.09588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.3929/ethz-b-000437967","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000437967","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2795133445","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1007/s00371-020-01922-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00371-020-01922-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00371-020-01922-5.pdf","source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320323868","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795133445.pdf","grobid_xml":"https://content.openalex.org/works/W2795133445.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1677182931","https://openalex.org/W1841592590","https://openalex.org/W1987971958","https://openalex.org/W2007339694","https://openalex.org/W2047643928","https://openalex.org/W2078179989","https://openalex.org/W2097117768","https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2117876524","https://openalex.org/W2119513700","https://openalex.org/W2133665775","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2319920447","https://openalex.org/W2397567748","https://openalex.org/W2528287124","https://openalex.org/W2531044305","https://openalex.org/W2533598788","https://openalex.org/W2593744649","https://openalex.org/W2611726225","https://openalex.org/W2773706593","https://openalex.org/W2904533240","https://openalex.org/W2943955334","https://openalex.org/W2963446712","https://openalex.org/W2963499661","https://openalex.org/W2963525613","https://openalex.org/W2963821229","https://openalex.org/W2964081807","https://openalex.org/W3012546716","https://openalex.org/W4235169531","https://openalex.org/W4250737575","https://openalex.org/W4255158661","https://openalex.org/W6600219630","https://openalex.org/W6604344240","https://openalex.org/W6630126088"],"related_works":["https://openalex.org/W2194775991","https://openalex.org/W3118608800","https://openalex.org/W2108598243","https://openalex.org/W3125061546","https://openalex.org/W2525236913","https://openalex.org/W2411810895","https://openalex.org/W2587314205","https://openalex.org/W2909288227","https://openalex.org/W3185447076","https://openalex.org/W2438424254","https://openalex.org/W2921286775","https://openalex.org/W1570012208","https://openalex.org/W2963175113","https://openalex.org/W2560476484","https://openalex.org/W2792866471","https://openalex.org/W2105507161","https://openalex.org/W2948638722","https://openalex.org/W2724832165","https://openalex.org/W3132772989","https://openalex.org/W2772303887"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"the":[2,67,74,78,88,118],"deep-learning":[3],"community,":[4],"new":[5,21],"algorithms":[6,33],"are":[7],"published":[8,32],"at":[9],"a":[10,24,42,56,83],"very":[11],"fast":[12],"pace.":[13],"Therefore,":[14],"solving":[15],"an":[16,63],"image":[17],"classification":[18,75],"problem":[19],"for":[20],"datasets":[22],"becomes":[23],"challenging":[25],"task,":[26],"as":[27],"it":[28],"requires":[29],"to":[30,40,44,72,115],"re-evaluate":[31],"and":[34,111],"their":[35],"different":[36],"configurations":[37],"in":[38,106],"order":[39],"find":[41],"close":[43],"optimal":[45],"classifier.":[46],"To":[47],"facilitate":[48],"this":[49],"process,":[50],"before":[51],"biasing":[52],"our":[53],"decision":[54],"toward":[55,120],"class":[57],"of":[58,77],"neural":[59,122],"networks":[60],"or":[61],"running":[62],"expensive":[64],"search":[65,113,119],"over":[66],"network":[68,109,123],"space,":[69],"we":[70],"propose":[71],"estimate":[73],"difficulty":[76,90],"dataset.":[79],"Our":[80],"method":[81,102],"computes":[82],"single":[84],"number":[85],"that":[86],"characterizes":[87],"dataset":[89],"$$97\\times":[91],"$$":[92],"<mml:math":[93],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mn>97</mml:mn><mml:mo>\u00d7</mml:mo></mml:mrow></mml:math>":[94],"faster":[95],"than":[96],"training":[97],"state-of-the-art":[98],"networks.":[99],"The":[100],"proposed":[101],"can":[103],"be":[104],"used":[105],"combination":[107],"with":[108],"topology":[110],"hyper-parameter":[112],"optimizers":[114],"efficiently":[116],"drive":[117],"promising":[121],"configurations.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
