{"id":"https://openalex.org/W3194973131","doi":"https://doi.org/10.1007/978-3-031-01333-1_19","title":"VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs","display_name":"VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3194973131","doi":"https://doi.org/10.1007/978-3-031-01333-1_19","mag":"3194973131"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-01333-1_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-01333-1_19","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/A5065490615","display_name":"Yoeri Poels","orcid":"https://orcid.org/0000-0002-4071-4855"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Yoeri Poels","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4071-4855","affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034523015","display_name":"Vlado Menkovski","orcid":"https://orcid.org/0000-0001-5262-0605"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Vlado Menkovski","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5262-0605","affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065490615"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00761519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9776999950408936,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9764000177383423,"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/autoencoder","display_name":"Autoencoder","score":0.8108985424041748},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7757037281990051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560509443283081},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.70246422290802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6161683201789856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6123805046081543},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5792732834815979},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5600437521934509},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48993009328842163},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4445904493331909},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4171154201030731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36606308817863464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35228338837623596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.23244762420654297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13520127534866333},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10400497913360596}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8108985424041748},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7757037281990051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560509443283081},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.70246422290802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6161683201789856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6123805046081543},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5792732834815979},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5600437521934509},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48993009328842163},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4445904493331909},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4171154201030731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36606308817863464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35228338837623596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.23244762420654297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13520127534866333},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10400497913360596},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-01333-1_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-01333-1_19","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"},{"id":"pmh:oai:pure.tue.nl:publications/7e56b2cd-ec1b-460b-9416-f9cab90b38cd","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/7e56b2cd-ec1b-460b-9416-f9cab90b38cd","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Poels, Y & Menkovski, V 2022, VAE-CE : Visual Contrastive Explanation Using Disentangled VAEs. in T Bouadi, E Fromont & E H\u00fcllermeier (eds), Advances in Intelligent Data Analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20\u201322, 2022, Proceedings. Lecture Notes in Computer Science (LNCS), vol. 13205, Springer, Cham, pp. 237-250, 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, 20/04/22. https://doi.org/10.1007/978-3-031-01333-1_19","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1482764590","https://openalex.org/W2029948740","https://openalex.org/W2039367092","https://openalex.org/W2112796928","https://openalex.org/W2282821441","https://openalex.org/W2321972046","https://openalex.org/W2602856279","https://openalex.org/W2620364083","https://openalex.org/W2753738274","https://openalex.org/W2789160704","https://openalex.org/W2796885425","https://openalex.org/W2883512601","https://openalex.org/W2895387715","https://openalex.org/W2895739182","https://openalex.org/W2903538854","https://openalex.org/W2906298613","https://openalex.org/W2962858109","https://openalex.org/W2963039693","https://openalex.org/W2963095307","https://openalex.org/W2964121744","https://openalex.org/W2964812973","https://openalex.org/W2966145398","https://openalex.org/W2973319951","https://openalex.org/W3004170979","https://openalex.org/W3010694149","https://openalex.org/W3091150073","https://openalex.org/W3103795814","https://openalex.org/W3109317361","https://openalex.org/W3123545922","https://openalex.org/W4231827019","https://openalex.org/W4246219036","https://openalex.org/W6637162671"],"related_works":["https://openalex.org/W2937381246","https://openalex.org/W2904927891","https://openalex.org/W4288115719","https://openalex.org/W2971473720","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W4220775285","https://openalex.org/W2776466379","https://openalex.org/W3199863078","https://openalex.org/W4221015625"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
