{"id":"https://openalex.org/W1849277567","doi":"https://doi.org/10.1007/978-3-319-10590-1_53","title":"Visualizing and Understanding Convolutional Networks","display_name":"Visualizing and Understanding Convolutional Networks","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1849277567","doi":"https://doi.org/10.1007/978-3-319-10590-1_53","mag":"1849277567"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-10590-1_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-10590-1_53","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-10590-1_53.pdf","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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-10590-1_53.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057828550","display_name":"Matthew D. Zeiler","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew D. Zeiler","raw_affiliation_strings":["Dept. of Computer Science, New York University, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089960673","display_name":"Rob Fergus","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rob Fergus","raw_affiliation_strings":["Dept. of Computer Science, New York University, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057828550"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":602.7273,"has_fulltext":false,"cited_by_count":15311,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9962000250816345,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9934999942779541,"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/softmax-function","display_name":"Softmax function","score":0.9396323561668396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8584016561508179},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7236656546592712},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7065266966819763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924391150474548},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5546172261238098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4942774772644043},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4824584126472473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.362959086894989}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9396323561668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8584016561508179},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7236656546592712},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7065266966819763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924391150474548},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5546172261238098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4942774772644043},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4824584126472473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.362959086894989},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-10590-1_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-10590-1_53","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-10590-1_53.pdf","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":{"id":"doi:10.1007/978-3-319-10590-1_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-10590-1_53","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-10590-1_53.pdf","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"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":false},"content_urls":{"grobid_xml":"https://content.openalex.org/works/W1849277567.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1599933961","https://openalex.org/W1709548961","https://openalex.org/W1904365287","https://openalex.org/W2025768430","https://openalex.org/W2031342017","https://openalex.org/W2097018403","https://openalex.org/W2102605133","https://openalex.org/W2104371740","https://openalex.org/W2108069432","https://openalex.org/W2108598243","https://openalex.org/W2110798204","https://openalex.org/W2115733720","https://openalex.org/W2136922672","https://openalex.org/W2137313500","https://openalex.org/W2141125852","https://openalex.org/W2141200610","https://openalex.org/W2144869872","https://openalex.org/W2147800946","https://openalex.org/W2147860648","https://openalex.org/W2155541015","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2546302380","https://openalex.org/W2962851944","https://openalex.org/W6604344240","https://openalex.org/W6776948474"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W3090555870","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W2899027234","https://openalex.org/W3120400911"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":137},{"year":2025,"cited_by_count":847},{"year":2024,"cited_by_count":1101},{"year":2023,"cited_by_count":1362},{"year":2022,"cited_by_count":1507},{"year":2021,"cited_by_count":2123},{"year":2020,"cited_by_count":2055},{"year":2019,"cited_by_count":2070},{"year":2018,"cited_by_count":1750},{"year":2017,"cited_by_count":1171},{"year":2016,"cited_by_count":709},{"year":2015,"cited_by_count":378},{"year":2014,"cited_by_count":82},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
