{"id":"https://openalex.org/W4205381838","doi":"https://doi.org/10.1007/s13042-021-01486-3","title":"Deconfounded classification by an intervention approach","display_name":"Deconfounded classification by an intervention approach","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4205381838","doi":"https://doi.org/10.1007/s13042-021-01486-3"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-021-01486-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-021-01486-3","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","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/A5077135911","display_name":"Fenglei Yang","orcid":"https://orcid.org/0000-0002-4847-7030"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenglei Yang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057201623","display_name":"Jingling Han","orcid":"https://orcid.org/0009-0001-0158-9625"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingling Han","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025548879","display_name":"Baomin Li","orcid":"https://orcid.org/0000-0001-6320-4228"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baomin Li","raw_affiliation_strings":["School of Open Learning and Education, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Open Learning and Education, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077135911"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.2759,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59922453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"13","issue":"6","first_page":"1763","last_page":"1779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976999759674072,"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":0.712745189666748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289997696876526},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5918107628822327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5223323106765747},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5104936361312866},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5067921280860901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5048771500587463},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.44716769456863403},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.43555566668510437},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43506312370300293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34214404225349426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23276370763778687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21512410044670105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18143722414970398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14096200466156006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712745189666748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289997696876526},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5918107628822327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5223323106765747},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5104936361312866},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5067921280860901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5048771500587463},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.44716769456863403},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.43555566668510437},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43506312370300293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34214404225349426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23276370763778687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21512410044670105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18143722414970398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14096200466156006}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-021-01486-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-021-01486-3","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2476726496","display_name":null,"funder_award_id":"61371149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3267608053","display_name":null,"funder_award_id":"20ZR1416400","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1531424399","https://openalex.org/W1964428975","https://openalex.org/W1994550352","https://openalex.org/W2005750530","https://openalex.org/W2023421807","https://openalex.org/W2034841618","https://openalex.org/W2061519488","https://openalex.org/W2065935037","https://openalex.org/W2112796928","https://openalex.org/W2143891888","https://openalex.org/W2146849125","https://openalex.org/W2151496550","https://openalex.org/W2163922914","https://openalex.org/W2592916831","https://openalex.org/W2603530220","https://openalex.org/W2613237644","https://openalex.org/W2616630373","https://openalex.org/W2618530766","https://openalex.org/W2622826443","https://openalex.org/W2895752198","https://openalex.org/W2948447329","https://openalex.org/W2952639253","https://openalex.org/W2962681511","https://openalex.org/W2963697299","https://openalex.org/W2963875483","https://openalex.org/W2964254462","https://openalex.org/W2964299886","https://openalex.org/W3097217077","https://openalex.org/W3120919064","https://openalex.org/W3124658416","https://openalex.org/W3194379153","https://openalex.org/W4210890186"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W1754499339","https://openalex.org/W3122478268","https://openalex.org/W2013873776","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
