{"id":"https://openalex.org/W2979630600","doi":"https://doi.org/10.1109/ccece.2019.8861962","title":"Improved Machine Learning using Confidence","display_name":"Improved Machine Learning using Confidence","publication_year":2019,"publication_date":"2019-05-05","ids":{"openalex":"https://openalex.org/W2979630600","doi":"https://doi.org/10.1109/ccece.2019.8861962","mag":"2979630600"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2019.8861962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2019.8861962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050080301","display_name":"Nima TaheriNejad","orcid":"https://orcid.org/0000-0002-1295-0332"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Nima TaheriNejad","raw_affiliation_strings":["Institute of Computer Technology TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032163732","display_name":"Axel Jantsch","orcid":"https://orcid.org/0000-0003-2251-0004"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Axel Jantsch","raw_affiliation_strings":["Institute of Computer Technology TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050080301"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.7426,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70284518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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":0.9994999766349792,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8032068014144897},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.737119734287262},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.6552668809890747},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5194946527481079},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5193244218826294},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4878668785095215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45662957429885864},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3825312852859497},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37155765295028687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032068014144897},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.737119734287262},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.6552668809890747},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5194946527481079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5193244218826294},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4878668785095215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45662957429885864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3825312852859497},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37155765295028687},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2019.8861962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2019.8861962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1859124069","https://openalex.org/W2067723946","https://openalex.org/W2107703483","https://openalex.org/W2163605009","https://openalex.org/W2217197715","https://openalex.org/W2295830109","https://openalex.org/W2317748259","https://openalex.org/W2346834216","https://openalex.org/W2525789344","https://openalex.org/W2533088220","https://openalex.org/W2612502572","https://openalex.org/W2620953464","https://openalex.org/W2621120915","https://openalex.org/W2715427162","https://openalex.org/W2743178177","https://openalex.org/W2754966749","https://openalex.org/W2770241596","https://openalex.org/W2774356166","https://openalex.org/W2799137784","https://openalex.org/W2802802696","https://openalex.org/W2806656456","https://openalex.org/W2806779639","https://openalex.org/W2888119827","https://openalex.org/W2907383064","https://openalex.org/W3112020351","https://openalex.org/W4233285527","https://openalex.org/W4235997419","https://openalex.org/W4248806106","https://openalex.org/W4300485340","https://openalex.org/W6684191040","https://openalex.org/W6738772323","https://openalex.org/W6746693533","https://openalex.org/W6787685208"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"Wearable":[0],"gadgets":[1,33],"are":[2],"in":[3,12,41,75],"for":[4,115],"an":[5],"exponential":[6],"rise":[7],"thanks":[8],"to":[9,49,53,85,96],"the":[10,13,55,58,71,107,110],"improvements":[11,40],"silicon":[14],"scaling":[15],"and":[16,25,60,78,112,132],"ubiquity":[17],"of":[18,57,70,101,109],"Internet":[19],"as":[20,22],"well":[21],"battery":[23],"technology":[24],"sensor":[26],"amelioration.":[27],"However,":[28],"despite":[29],"these":[30],"advances,":[31],"wearable":[32,76],"remain":[34],"resource":[35,119],"constrained":[36,120],"devices":[37,77],"requiring":[38],"further":[39],"all":[42],"those":[43],"areas.":[44],"Self-awareness":[45],"enables":[46],"a":[47],"system":[48,59],"adjust":[50],"its":[51,62],"behaviors":[52],"enhance":[54,99],"operations":[56],"meet":[61],"goals.":[63],"In":[64,88],"this":[65],"paper,":[66],"we":[67,90],"review":[68],"one":[69],"self-awareness":[72],"techniques":[73,104],"used":[74],"machine":[79,102],"learning,":[80],"namely":[81],"confidence,":[82],"which":[83],"leads":[84],"their":[86],"improvements.":[87],"particular,":[89],"focus":[91],"on":[92,118],"how":[93],"confidence":[94],"helps":[95],"maintain":[97],"or":[98],"performance":[100],"learning":[103],"while":[105],"reducing":[106],"complexity":[108],"processes":[111],"required":[113],"resources":[114],"running":[116],"them":[117],"devices.":[121],"We":[122],"look":[123],"into":[124],"three":[125],"examples,":[126],"epilepsy":[127],"monitoring,":[128],"iris":[129],"flower":[130],"detection,":[131],"image":[133],"classification.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
