{"id":"https://openalex.org/W4382243959","doi":"https://doi.org/10.1007/s10044-023-01181-9","title":"Deep neural networks for rank-consistent ordinal regression based on conditional probabilities","display_name":"Deep neural networks for rank-consistent ordinal regression based on conditional probabilities","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382243959","doi":"https://doi.org/10.1007/s10044-023-01181-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-023-01181-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-023-01181-9","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-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/A5106943140","display_name":"Xintong Shi","orcid":"https://orcid.org/0009-0008-8913-3905"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xintong Shi","raw_affiliation_strings":["Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758639","display_name":"Wenzhi Cao","orcid":"https://orcid.org/0000-0001-7462-2783"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenzhi Cao","raw_affiliation_strings":["Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053156269","display_name":"Sebastian Raschka","orcid":"https://orcid.org/0000-0001-6989-4493"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sebastian Raschka","raw_affiliation_strings":["Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA","Lightning AI, 50 West 23rd St, New York, NY, 10010, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Wisconsin Madison, 1300 Medical Sciences Center, Madison, WI, 53706, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Lightning AI, 50 West 23rd St, New York, NY, 10010, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053156269"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":7.7608,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.98256421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"3","first_page":"941","last_page":"955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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":0.9951000213623047,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.7197140455245972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5759660601615906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5736657977104187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5071287155151367},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4776976406574249},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.4665522277355194},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4610774517059326},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4123954176902771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3638322949409485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3589135408401489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3373655676841736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3345710039138794}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.7197140455245972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5759660601615906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736657977104187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5071287155151367},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4776976406574249},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.4665522277355194},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4610774517059326},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4123954176902771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3638322949409485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3589135408401489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3373655676841736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3345710039138794},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-023-01181-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-023-01181-9","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.5,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2233991414","display_name":null,"funder_award_id":"AAD5912","funder_id":"https://openalex.org/F4320306555","funder_display_name":"Wisconsin Alumni Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320306555","display_name":"Wisconsin Alumni Research Foundation","ror":"https://ror.org/00hwxbz16"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W214995755","https://openalex.org/W1606857374","https://openalex.org/W2047221353","https://openalex.org/W2128186735","https://openalex.org/W2171541062","https://openalex.org/W2284800790","https://openalex.org/W2799462250","https://openalex.org/W3097760447","https://openalex.org/W3130956902","https://openalex.org/W3210452439"],"related_works":["https://openalex.org/W1984083244","https://openalex.org/W156327249","https://openalex.org/W2058716166","https://openalex.org/W3099723579","https://openalex.org/W33026131","https://openalex.org/W2897606582","https://openalex.org/W1965776900","https://openalex.org/W2000049449","https://openalex.org/W1980896222","https://openalex.org/W2023060082"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-06-28T00:00:00"}
