{"id":"https://openalex.org/W3156734371","doi":"https://doi.org/10.1007/978-3-030-73973-7_6","title":"Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades","display_name":"Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3156734371","doi":"https://doi.org/10.1007/978-3-030-73973-7_6","mag":"3156734371"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-73973-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73973-7_6","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/A5073115606","display_name":"Peter Bellmann","orcid":"https://orcid.org/0000-0003-0182-4469"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Peter Bellmann","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025725951","display_name":"Ludwig Lausser","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ludwig Lausser","raw_affiliation_strings":["Institute of Medical Systems Biology, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Medical Systems Biology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023316486","display_name":"Hans A. Kestler","orcid":"https://orcid.org/0000-0002-4759-5254"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans A. Kestler","raw_affiliation_strings":["Institute of Medical Systems Biology, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Medical Systems Biology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078096723","display_name":"Friedhelm Schwenker","orcid":"https://orcid.org/0000-0001-5118-0812"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedhelm Schwenker","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073115606"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3585,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53623039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9990000128746033,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9990000128746033,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886000156402588,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8460663557052612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7398747205734253},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6909011602401733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6243834495544434},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.5602047443389893},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5450421571731567},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.5445234775543213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.527725338935852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5028964877128601},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4614049792289734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37593334913253784}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8460663557052612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398747205734253},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6909011602401733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6243834495544434},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.5602047443389893},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5450421571731567},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5445234775543213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.527725338935852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5028964877128601},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4614049792289734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37593334913253784},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-73973-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73973-7_6","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":26,"referenced_works":["https://openalex.org/W1145671308","https://openalex.org/W1503196035","https://openalex.org/W1531648066","https://openalex.org/W1594031697","https://openalex.org/W1985941926","https://openalex.org/W2100483895","https://openalex.org/W2124868070","https://openalex.org/W2148143831","https://openalex.org/W2156909104","https://openalex.org/W2158443418","https://openalex.org/W2801101267","https://openalex.org/W2910036661","https://openalex.org/W2938414125","https://openalex.org/W2968322776","https://openalex.org/W3083607226","https://openalex.org/W3085162807","https://openalex.org/W3093284892","https://openalex.org/W3095422644","https://openalex.org/W3095495848","https://openalex.org/W3120740533","https://openalex.org/W3124147251","https://openalex.org/W3128080697","https://openalex.org/W3132478293","https://openalex.org/W4230674625","https://openalex.org/W4248018214","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W4300104397","https://openalex.org/W2798701209","https://openalex.org/W2912776266","https://openalex.org/W4236496007","https://openalex.org/W1539030525","https://openalex.org/W4237346635","https://openalex.org/W1572610764","https://openalex.org/W2568280491","https://openalex.org/W2963953154","https://openalex.org/W2116853241"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
