{"id":"https://openalex.org/W2191849205","doi":"https://doi.org/10.1109/idaacs.2017.8095172","title":"Creation of a deep convolutional auto-encoder in Caffe","display_name":"Creation of a deep convolutional auto-encoder in Caffe","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2191849205","doi":"https://doi.org/10.1109/idaacs.2017.8095172","mag":"2191849205"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2017.8095172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2017.8095172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1512.01596","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050920253","display_name":"Volodymyr Turchenko","orcid":"https://orcid.org/0000-0003-3810-6970"},"institutions":[{"id":"https://openalex.org/I3143791293","display_name":"Institute for Christian Studies","ror":"https://ror.org/054dn2d35","country_code":"CA","type":"education","lineage":["https://openalex.org/I3143791293"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Volodymyr Turchenko","raw_affiliation_strings":["NuraLogix Corp., Toronto, ON, Canada","Ontario Institute for Studies in Education, University of Toronto, Toronto, ON, Canada","NuraLogix Corp., 200-10 King Street E., Toronto, ON, Canada, M5C 1C3"],"affiliations":[{"raw_affiliation_string":"NuraLogix Corp., Toronto, ON, Canada","institution_ids":[]},{"raw_affiliation_string":"Ontario Institute for Studies in Education, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I3143791293","https://openalex.org/I185261750"]},{"raw_affiliation_string":"NuraLogix Corp., 200-10 King Street E., Toronto, ON, Canada, M5C 1C3","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047020510","display_name":"Artur Luczak","orcid":"https://orcid.org/0000-0002-4929-5781"},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Artur Luczak","raw_affiliation_strings":["Department of Neuroscience, University of Lethbridge, Lethbridge, AB, Canada","Canadian Centre for Behavioural Neuroscience, Department of Neuroscience, University of Lethbridge 4401 University Drive, Lethbridge, AB, Canada, T1K 3M4"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, University of Lethbridge, Lethbridge, AB, Canada","institution_ids":["https://openalex.org/I107949126"]},{"raw_affiliation_string":"Canadian Centre for Behavioural Neuroscience, Department of Neuroscience, University of Lethbridge 4401 University Drive, Lethbridge, AB, Canada, T1K 3M4","institution_ids":["https://openalex.org/I107949126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050920253"],"corresponding_institution_ids":["https://openalex.org/I185261750","https://openalex.org/I3143791293"],"apc_list":null,"apc_paid":null,"fwci":0.76266133,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74542639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"651","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991000294685364,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9961000084877014,"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/mnist-database","display_name":"MNIST database","score":0.9530536532402039},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8455850481987},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8338780403137207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7955212593078613},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.76537024974823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721845269203186},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6080609560012817},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5925300717353821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.571239709854126},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5614287257194519}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9530536532402039},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8455850481987},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8338780403137207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7955212593078613},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.76537024974823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721845269203186},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6080609560012817},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5925300717353821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.571239709854126},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5614287257194519},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/idaacs.2017.8095172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2017.8095172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1512.01596","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.01596","pdf_url":"https://arxiv.org/pdf/1512.01596","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":"","raw_type":"text"},{"id":"mag:2191849205","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.01596","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1512.01596","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1512.01596","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1512.01596","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.01596","pdf_url":"https://arxiv.org/pdf/1512.01596","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1849277567","https://openalex.org/W1875842236","https://openalex.org/W2025768430","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2136655611","https://openalex.org/W2138621090","https://openalex.org/W2139427956","https://openalex.org/W2141200610","https://openalex.org/W2504108613","https://openalex.org/W2950094539","https://openalex.org/W2952637581"],"related_works":["https://openalex.org/W2582160025","https://openalex.org/W2963510064","https://openalex.org/W2726456930","https://openalex.org/W2573590273","https://openalex.org/W2136655611","https://openalex.org/W1476203954","https://openalex.org/W3033101513","https://openalex.org/W2987537105","https://openalex.org/W1781857629","https://openalex.org/W2947033361","https://openalex.org/W2341393370","https://openalex.org/W2759132950","https://openalex.org/W2606893668","https://openalex.org/W2969662912","https://openalex.org/W2966535652","https://openalex.org/W54257720","https://openalex.org/W2791521493","https://openalex.org/W2123045220","https://openalex.org/W2914297187","https://openalex.org/W3107993857"],"abstract_inverted_index":{"The":[0,32,44],"development":[1],"of":[2,35,46,53,65],"a":[3,59],"deep":[4,11],"(stacked)":[5],"convolutional":[6,36],"auto-encoder":[7,37,61],"in":[8,16,30,56],"the":[9,63],"Caffe":[10],"learning":[12],"framework":[13],"is":[14],"presented":[15],"this":[17,28],"paper.":[18],"We":[19],"describe":[20],"simple":[21],"principles":[22],"which":[23],"we":[24],"used":[25],"to":[26],"create":[27],"model":[29,34],"Caffe.":[31],"proposed":[33],"does":[38],"not":[39],"have":[40],"pooling/unpooling":[41],"layers":[42],"yet.":[43],"results":[45],"our":[47],"experimental":[48],"research":[49],"show":[50],"comparable":[51],"accuracy":[52],"dimensionality":[54],"reduction":[55],"comparison":[57],"with":[58],"classic":[60],"on":[62],"example":[64],"MNIST":[66],"dataset.":[67]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}