{"id":"https://openalex.org/W3155329945","doi":"https://doi.org/10.1007/978-3-030-72610-2_19","title":"Ensemble-Based Commercial Buildings Facades Photographs Classifier","display_name":"Ensemble-Based Commercial Buildings Facades Photographs Classifier","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3155329945","doi":"https://doi.org/10.1007/978-3-030-72610-2_19","mag":"3155329945"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-72610-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72610-2_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":"conference-paper","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/A5101438763","display_name":"Aleksei Samarin","orcid":"https://orcid.org/0000-0001-6839-3558"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksei Samarin","raw_affiliation_strings":["Saint-Petersburg State University, Saint Petersburg, Russia","Suprema Labs, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint-Petersburg State University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I172901346"]},{"raw_affiliation_string":"Suprema Labs, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006755109","display_name":"Valentin Malykh","orcid":"https://orcid.org/0000-0002-4508-2527"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Valentin Malykh","raw_affiliation_strings":["Kazan (Volga Region) Federal University, Kazan, Russia","Suprema Labs, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kazan (Volga Region) Federal University, Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]},{"raw_affiliation_string":"Suprema Labs, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.4774,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70814436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.8126574754714966},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7405276298522949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429206132888794},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6013105511665344},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4586202800273895},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4390029013156891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4288882911205292},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14049187302589417},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0786345899105072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8126574754714966},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7405276298522949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429206132888794},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6013105511665344},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4586202800273895},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4390029013156891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4288882911205292},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14049187302589417},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0786345899105072}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-72610-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72610-2_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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2001642682","https://openalex.org/W2069539193","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2519818067","https://openalex.org/W2550687635","https://openalex.org/W2605982830","https://openalex.org/W2612445135","https://openalex.org/W2782927583","https://openalex.org/W2900875655","https://openalex.org/W2946948417","https://openalex.org/W2962784628","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963341956","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W2967615747","https://openalex.org/W2975059944","https://openalex.org/W2995752927","https://openalex.org/W2997914410","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2563096758","https://openalex.org/W3158004940","https://openalex.org/W2972035100","https://openalex.org/W2167582322","https://openalex.org/W2742991909","https://openalex.org/W4220879353","https://openalex.org/W4382345315","https://openalex.org/W4285741730","https://openalex.org/W4296236090","https://openalex.org/W3163102128"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
