{"id":"https://openalex.org/W2524095094","doi":"https://doi.org/10.15439/2016f187","title":"Classification Algorithms in Sleep Detection\u2014A Comparative Study","display_name":"Classification Algorithms in Sleep Detection\u2014A Comparative Study","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W2524095094","doi":"https://doi.org/10.15439/2016f187","mag":"2524095094"},"language":"en","primary_location":{"id":"doi:10.15439/2016f187","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f187","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/187.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/2016/pliks/187.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077841064","display_name":"Aleksandra Helena Pasieczna","orcid":"https://orcid.org/0000-0001-6867-3584"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Aleksandra Pasieczna","raw_affiliation_strings":["Wrocaw University of Economics ul. Komandorska 118/120, 53-345 Wrocaw, Poland","Wroc\u0142aw University of Economics ul. Komandorska 118/120, 53-345 Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Wrocaw University of Economics ul. Komandorska 118/120, 53-345 Wrocaw, Poland","institution_ids":["https://openalex.org/I305801656"]},{"raw_affiliation_string":"Wroc\u0142aw University of Economics ul. Komandorska 118/120, 53-345 Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I305801656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030044285","display_name":"Jerzy Korczak","orcid":"https://orcid.org/0000-0001-6441-6126"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jerzy Korczak","raw_affiliation_strings":["Wrocaw University of Economics ul. Komandorska 118/120, 53-345 Wrocaw, Poland","Wroc\u0142aw University of Economics ul. Komandorska 118/120, 53-345 Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Wrocaw University of Economics ul. Komandorska 118/120, 53-345 Wrocaw, Poland","institution_ids":["https://openalex.org/I305801656"]},{"raw_affiliation_string":"Wroc\u0142aw University of Economics ul. Komandorska 118/120, 53-345 Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I305801656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077841064"],"corresponding_institution_ids":["https://openalex.org/I305801656"],"apc_list":null,"apc_paid":null,"fwci":0.4646,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59148936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"113","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7657893896102905},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.706445038318634},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6664929389953613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504178047180176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6071248650550842},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5795716643333435},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5234636664390564},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5001287460327148},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49469444155693054},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4763903021812439},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.43860697746276855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36794358491897583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31773051619529724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657893896102905},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.706445038318634},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6664929389953613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504178047180176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6071248650550842},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5795716643333435},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5234636664390564},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5001287460327148},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49469444155693054},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4763903021812439},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.43860697746276855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36794358491897583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31773051619529724},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2016f187","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f187","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/187.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:1ef8ab53bff740c5ae27a3184d7bcc1e","is_oa":true,"landing_page_url":"https://doaj.org/article/1ef8ab53bff740c5ae27a3184d7bcc1e","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 8, Pp 113-120 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2016f187","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f187","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/187.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/W2524095094.pdf","grobid_xml":"https://content.openalex.org/works/W2524095094.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W199384682","https://openalex.org/W1526862786","https://openalex.org/W1534477342","https://openalex.org/W1902415956","https://openalex.org/W2053154970","https://openalex.org/W2061473661","https://openalex.org/W2087347434","https://openalex.org/W2094168320","https://openalex.org/W2108263314","https://openalex.org/W2119821739","https://openalex.org/W2140758384","https://openalex.org/W2147595228","https://openalex.org/W2152195021","https://openalex.org/W2504629029","https://openalex.org/W2525537354","https://openalex.org/W2543580944","https://openalex.org/W2767125546","https://openalex.org/W3022302886","https://openalex.org/W3142340468","https://openalex.org/W4239510810","https://openalex.org/W4240278694"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,59],"comparison":[4],"of":[5,37,53],"different":[6],"machine":[7],"learning":[8],"algorithms":[9],"applied":[10],"to":[11,92,100],"automatic":[12],"sleep":[13,87],"detection":[14,89],"which":[15],"uses":[16],"electroencephalogram":[17],"signals":[18],"as":[19],"differentiating":[21],"basis.":[22],"The":[23,51,62,81],"Single-Layer":[24],"Perceptron,":[25,27],"Multi-Layer":[26],"Support":[28],"Vector":[29],"Machine,":[30],"Boosted":[31],"Tree":[32],"and":[33,44,48,77,95,107],"the":[34,38,54,70,73],"Multi-Agent":[35],"(comprising":[36],"earlier":[39],"models)":[40],"models":[41,55,63,82],"are":[42,56,64,83],"developed":[43],"analyzed":[45],"with":[46,66,86],"training":[47],"testing":[49],"datasets.":[50],"results":[52],"evaluated":[57],"using":[58,69],"cross-validation":[60],"technique.":[61],"compared":[65],"each":[67],"other":[68],"Cohen's":[71,96],"index,":[72],"True":[74,78],"Positive":[75],"Rate":[76],"Negative":[79],"Rate.":[80],"very":[84],"successful":[85],"stage":[88],"reaching":[90,98],"up":[91,99],"94":[93],"%,":[94],"index":[97],"0.69,":[101],"showing":[102],"considerable":[103],"promise":[104],"for":[105],"deployment":[106],"future":[108],"studies.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}