{"id":"https://openalex.org/W3090179348","doi":"https://doi.org/10.1007/978-3-030-59719-1_27","title":"Calibrated Surrogate Maximization of Dice","display_name":"Calibrated Surrogate Maximization of Dice","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090179348","doi":"https://doi.org/10.1007/978-3-030-59719-1_27","mag":"3090179348"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-59719-1_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-59719-1_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5001134620","display_name":"Marcus Nordstr\u00f6m","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157068","display_name":"RaySearch Laboratories (Sweden)","ror":"https://ror.org/055bp1561","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210157068"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Marcus Nordstr\u00f6m","raw_affiliation_strings":["RaySearch Laboratories, Stockholm, Sweden","KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RaySearch Laboratories, Stockholm, Sweden","institution_ids":["https://openalex.org/I4210157068"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025836536","display_name":"Han Bao","orcid":"https://orcid.org/0000-0002-4473-2604"},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Han Bao","raw_affiliation_strings":["RIKEN, Tokyo, Japan","The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210110652"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006870237","display_name":"Fredrik L\u00f6fman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157068","display_name":"RaySearch Laboratories (Sweden)","ror":"https://ror.org/055bp1561","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210157068"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fredrik L\u00f6fman","raw_affiliation_strings":["RaySearch Laboratories, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RaySearch Laboratories, Stockholm, Sweden","institution_ids":["https://openalex.org/I4210157068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029702774","display_name":"Henrik Hult","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henrik Hult","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054834085","display_name":"Atsuto Maki","orcid":"https://orcid.org/0000-0002-4266-6746"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Atsuto Maki","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072744508","display_name":"Masashi Sugiyama","orcid":"https://orcid.org/0000-0001-6658-6743"},"institutions":[{"id":"https://openalex.org/I4210110652","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Sugiyama","raw_affiliation_strings":["RIKEN, Tokyo, Japan","The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210110652"]},{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.1004,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81099531,"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":"269","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962999820709229,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.9508119821548462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7589304447174072},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6677852272987366},{"id":"https://openalex.org/keywords/surrogate-data","display_name":"Surrogate data","score":0.6272865533828735},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6230767965316772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868602395057678},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5667155385017395},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5472313165664673},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4789339005947113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4529494345188141},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3076610267162323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14593523740768433},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13550710678100586},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.07160526514053345}],"concepts":[{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.9508119821548462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589304447174072},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6677852272987366},{"id":"https://openalex.org/C142806159","wikidata":"https://www.wikidata.org/wiki/Q7646876","display_name":"Surrogate data","level":3,"score":0.6272865533828735},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6230767965316772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868602395057678},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5667155385017395},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5472313165664673},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4789339005947113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4529494345188141},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3076610267162323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14593523740768433},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13550710678100586},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.07160526514053345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-59719-1_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-59719-1_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1982032418","https://openalex.org/W2023163512","https://openalex.org/W2052448032","https://openalex.org/W2104167780","https://openalex.org/W2120497086","https://openalex.org/W2156909104","https://openalex.org/W2171629518","https://openalex.org/W2464708700","https://openalex.org/W2517954747","https://openalex.org/W2592929672","https://openalex.org/W2734349601","https://openalex.org/W2933796343","https://openalex.org/W2952758290","https://openalex.org/W2962914239","https://openalex.org/W2963717741","https://openalex.org/W2964121744","https://openalex.org/W2978442853","https://openalex.org/W2978699824","https://openalex.org/W2979751829","https://openalex.org/W2984283041","https://openalex.org/W2991523350","https://openalex.org/W3009611392","https://openalex.org/W3031802082","https://openalex.org/W3037460812","https://openalex.org/W3098712157","https://openalex.org/W3100074233","https://openalex.org/W3101020973","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W4287391569","https://openalex.org/W3212229229","https://openalex.org/W3198903284","https://openalex.org/W2912622974","https://openalex.org/W2370197656","https://openalex.org/W3209671989","https://openalex.org/W2910249264","https://openalex.org/W2122194038","https://openalex.org/W4307739277","https://openalex.org/W4387323382"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}