{"id":"https://openalex.org/W4214595181","doi":"https://doi.org/10.1007/978-3-030-86365-4","title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2021","display_name":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2021","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4214595181","doi":"https://doi.org/10.1007/978-3-030-86365-4"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-86365-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86365-4","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"},"type":"book","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.16584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Farka\u0161, Igor","orcid":null},"institutions":[{"id":"https://openalex.org/I74788687","display_name":"Comenius University Bratislava","ror":"https://ror.org/0587ef340","country_code":"SK","type":"education","lineage":["https://openalex.org/I74788687"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Farka\u0161, Igor","raw_affiliation_strings":["Comenius University in Bratislava, Bratislava, Slovakia"],"affiliations":[{"raw_affiliation_string":"Comenius University in Bratislava, Bratislava, Slovakia","institution_ids":["https://openalex.org/I74788687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056964395","display_name":"Igor Farka\u0161","orcid":"https://orcid.org/0000-0003-3503-2080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masulli, Paolo","raw_affiliation_strings":["iMotions A/S, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"iMotions A/S, Copenhagen, Denmark","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107062545","display_name":"Paolo Masulli","orcid":"https://orcid.org/0000-0002-1389-3894"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Otte, Sebastian","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030096952","display_name":"Sebastian Otte","orcid":"https://orcid.org/0000-0002-0305-0463"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wermter, Stefan","raw_affiliation_strings":["Universit\u00e4t Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74788687"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.9245,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95554238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9419999718666077,"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/T10320","display_name":"Neural Networks and Applications","score":0.9241999983787537,"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/hypercomplex-number","display_name":"Hypercomplex number","score":0.829249382019043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7978655099868774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140907406806946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5589404702186584},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4912416338920593},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4823567271232605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4708898663520813},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44203710556030273},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4384498596191406},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4275638461112976},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42419955134391785},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.41652151942253113},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.3888784348964691},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11711364984512329},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10584497451782227}],"concepts":[{"id":"https://openalex.org/C203249530","wikidata":"https://www.wikidata.org/wiki/Q837414","display_name":"Hypercomplex number","level":3,"score":0.829249382019043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978655099868774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140907406806946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5589404702186584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4912416338920593},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4823567271232605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4708898663520813},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44203710556030273},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4384498596191406},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4275638461112976},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42419955134391785},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.41652151942253113},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.3888784348964691},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11711364984512329},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10584497451782227},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-86365-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86365-4","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"},{"id":"pmh:oai:arXiv.org:2103.16584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.16584","pdf_url":"https://arxiv.org/pdf/2103.16584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.16584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.16584","pdf_url":"https://arxiv.org/pdf/2103.16584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1662382123","https://openalex.org/W1677182931","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1904365287","https://openalex.org/W2058641082","https://openalex.org/W2095705004","https://openalex.org/W2175402905","https://openalex.org/W2558748708","https://openalex.org/W2606780347","https://openalex.org/W2804057010","https://openalex.org/W2905878277","https://openalex.org/W2907492528","https://openalex.org/W2952383053","https://openalex.org/W2962711740","https://openalex.org/W2963230471","https://openalex.org/W2963585199","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2982490267","https://openalex.org/W3005552578","https://openalex.org/W3006852363","https://openalex.org/W3016124664","https://openalex.org/W3035649237","https://openalex.org/W3093694263","https://openalex.org/W3100078588","https://openalex.org/W3127824945","https://openalex.org/W3152893301","https://openalex.org/W3155952169","https://openalex.org/W4240178629","https://openalex.org/W4287690303","https://openalex.org/W4287780403","https://openalex.org/W4287829537","https://openalex.org/W4288088482","https://openalex.org/W4288365403","https://openalex.org/W4293495374","https://openalex.org/W4294558607","https://openalex.org/W4295312788","https://openalex.org/W4297733535","https://openalex.org/W4299590935"],"related_works":["https://openalex.org/W2916518000","https://openalex.org/W2916498667","https://openalex.org/W2917906954","https://openalex.org/W2572893131","https://openalex.org/W2917330019","https://openalex.org/W2917006597","https://openalex.org/W2916884673","https://openalex.org/W1897251165","https://openalex.org/W2020324309","https://openalex.org/W2423267406"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2022-03-02T00:00:00"}