{"id":"https://openalex.org/W3215050761","doi":"https://doi.org/10.1007/978-3-031-20083-0_17","title":"Event Neural Networks","display_name":"Event Neural Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3215050761","doi":"https://doi.org/10.1007/978-3-031-20083-0_17","mag":"3215050761"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-20083-0_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20083-0_17","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.00891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059854282","display_name":"Matthew Dutson","orcid":"https://orcid.org/0000-0003-3133-2115"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Dutson","raw_affiliation_strings":["University of Wisconsin\u2013Madison, Madison, WI, 53715, USA"],"raw_orcid":"https://orcid.org/0000-0003-3133-2115","affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Madison, Madison, WI, 53715, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yin Li","orcid":"https://orcid.org/0000-0003-4173-9453"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Li","raw_affiliation_strings":["University of Wisconsin\u2013Madison, Madison, WI, 53715, USA","University of Wisconsin-Madison, #TAB#"],"raw_orcid":"https://orcid.org/0000-0003-4173-9453","affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Madison, Madison, WI, 53715, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin-Madison, #TAB#","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074353153","display_name":"Mohit Gupta","orcid":"https://orcid.org/0000-0002-2323-7700"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Gupta","raw_affiliation_strings":["University of Wisconsin\u2013Madison, Madison, WI, 53715, USA","University of Wisconsin-Madison, #TAB#"],"raw_orcid":"https://orcid.org/0000-0002-2323-7700","affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Madison, Madison, WI, 53715, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin-Madison, #TAB#","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00273757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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":0.773938775062561},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7573419809341431},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7392817735671997},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6415649056434631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127064228057861},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5257568955421448},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5207726359367371},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47438672184944153},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4387744069099426},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.42929548025131226},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42500337958335876},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4204864203929901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3602454662322998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3545450270175934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2810536026954651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2503376603126526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09658116102218628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773938775062561},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7573419809341431},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7392817735671997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6415649056434631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127064228057861},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5257568955421448},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5207726359367371},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47438672184944153},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4387744069099426},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.42929548025131226},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42500337958335876},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4204864203929901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3602454662322998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3545450270175934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2810536026954651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2503376603126526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09658116102218628},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-031-20083-0_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20083-0_17","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:arXiv.org:2112.00891","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.00891","pdf_url":"https://arxiv.org/pdf/2112.00891","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"","raw_type":null},{"id":"mag:3215050761","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2112.00891.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2112.00891","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2112.00891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.00891","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.00891","pdf_url":"https://arxiv.org/pdf/2112.00891","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W1513100184","https://openalex.org/W1604973310","https://openalex.org/W1726122953","https://openalex.org/W1861492603","https://openalex.org/W1993465480","https://openalex.org/W2006370340","https://openalex.org/W2013305145","https://openalex.org/W2013640163","https://openalex.org/W2016574277","https://openalex.org/W2031489346","https://openalex.org/W2034014085","https://openalex.org/W2064675550","https://openalex.org/W2080873731","https://openalex.org/W2114766824","https://openalex.org/W2117539524","https://openalex.org/W2125389748","https://openalex.org/W2147253850","https://openalex.org/W2193145675","https://openalex.org/W2196753883","https://openalex.org/W2279098554","https://openalex.org/W2300242332","https://openalex.org/W2331143823","https://openalex.org/W2552900565","https://openalex.org/W2559085405","https://openalex.org/W2612445135","https://openalex.org/W2735974062","https://openalex.org/W2783525259","https://openalex.org/W2884751099","https://openalex.org/W2916798096","https://openalex.org/W2962677625","https://openalex.org/W2962944050","https://openalex.org/W2962965870","https://openalex.org/W2963037989","https://openalex.org/W2963114950","https://openalex.org/W2963125010","https://openalex.org/W2963351448","https://openalex.org/W2963370182","https://openalex.org/W2963402313","https://openalex.org/W2963526497","https://openalex.org/W2963653352","https://openalex.org/W2963674932","https://openalex.org/W2963782415","https://openalex.org/W2963866581","https://openalex.org/W2963910036","https://openalex.org/W2963917006","https://openalex.org/W2964076878","https://openalex.org/W2971854498","https://openalex.org/W2990503944","https://openalex.org/W2991833656","https://openalex.org/W2991860863","https://openalex.org/W3034467781","https://openalex.org/W3035424951","https://openalex.org/W3106250896","https://openalex.org/W3107788976","https://openalex.org/W3107849462","https://openalex.org/W3110053799","https://openalex.org/W3124372372","https://openalex.org/W3128170523","https://openalex.org/W3133275180","https://openalex.org/W3173421220","https://openalex.org/W3177399480","https://openalex.org/W4312740059"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
