{"id":"https://openalex.org/W4387524559","doi":"https://doi.org/10.15439/2023f865","title":"Developing an interval method for training denoising autoencoders by bounding the noise","display_name":"Developing an interval method for training denoising autoencoders by bounding the noise","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387524559","doi":"https://doi.org/10.15439/2023f865"},"language":"en","primary_location":{"id":"doi:10.15439/2023f865","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f865","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/865.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2023/drp/pdf/865.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002291613","display_name":"Bart\u0142omiej Jacek Kubica","orcid":"https://orcid.org/0000-0002-5547-3759"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bart\u0142omiej Jacek Kubica","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002291613"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15110882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"179","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9272000193595886,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9272000193595886,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.7215094566345215},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7168384790420532},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6424725651741028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6361418962478638},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5756289958953857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398565530776978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4219006896018982},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3988001346588135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18296480178833008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07872650027275085}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7215094566345215},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7168384790420532},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6424725651741028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6361418962478638},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5756289958953857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398565530776978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4219006896018982},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3988001346588135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18296480178833008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07872650027275085},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2023f865","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f865","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/865.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:00b86f0337104992b347551dc3e4c3aa","is_oa":true,"landing_page_url":"https://doaj.org/article/00b86f0337104992b347551dc3e4c3aa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 37, Pp 173-180 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2023f865","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f865","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/865.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387524559.pdf","grobid_xml":"https://content.openalex.org/works/W4387524559.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W306081428","https://openalex.org/W1498436455","https://openalex.org/W1507872748","https://openalex.org/W1959608418","https://openalex.org/W2018533095","https://openalex.org/W2067648572","https://openalex.org/W2101877290","https://openalex.org/W2105712817","https://openalex.org/W2110750681","https://openalex.org/W2129480103","https://openalex.org/W2154642048","https://openalex.org/W2160697275","https://openalex.org/W2403711553","https://openalex.org/W2483366466","https://openalex.org/W2584641794","https://openalex.org/W2609961881","https://openalex.org/W2766736793","https://openalex.org/W2782917325","https://openalex.org/W2783573073","https://openalex.org/W2794212346","https://openalex.org/W2921111842","https://openalex.org/W3022436500","https://openalex.org/W3212352727","https://openalex.org/W4214902928","https://openalex.org/W4283316872","https://openalex.org/W4298255709","https://openalex.org/W6747636931","https://openalex.org/W6777410595"],"related_works":["https://openalex.org/W3166204570","https://openalex.org/W3121246613","https://openalex.org/W2132137594","https://openalex.org/W2798482732","https://openalex.org/W350499458","https://openalex.org/W2062170304","https://openalex.org/W1645564126","https://openalex.org/W4367628250","https://openalex.org/W3034789145","https://openalex.org/W383418545"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"prospects":[3],"of":[4,14,27,42],"using":[5,15],"interval":[6,17],"methods":[7],"to":[8,23],"training":[9,28],"denoising":[10],"autoencoders.Advantages":[11],"and":[12,36,40],"disadvantages":[13],"the":[16,25,29],"approach":[18,44],"are":[19,45,49],"discussed.It":[20],"is":[21],"proposed":[22],"formulate":[24],"problem":[26],"proper":[30],"neural":[31],"network":[32],"as":[33],"a":[34],"constraint-satisfaction,":[35],"not":[37],"optimization,":[38],"problem.Pros":[39],"cons":[41],"this":[43],"considered.Preliminary":[46],"numerical":[47],"experiments":[48],"also":[50],"presented.":[51]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}