{"id":"https://openalex.org/W2737561100","doi":"https://doi.org/10.1109/cybconf.2017.7985787","title":"Measuring the Effectiveness of Hidden Context Usage by Machine Learning Methods under Conditions of Increased Entropy of Noise","display_name":"Measuring the Effectiveness of Hidden Context Usage by Machine Learning Methods under Conditions of Increased Entropy of Noise","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2737561100","doi":"https://doi.org/10.1109/cybconf.2017.7985787","mag":"2737561100"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2017.7985787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","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/A5030158771","display_name":"Maciej Huk","orcid":"https://orcid.org/0000-0003-0430-7141"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Maciej Huk","raw_affiliation_strings":["Department of Information Systems, Wroclaw University of Science and Technology, Wroclaw, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030158771"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":1.4448,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86045305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9909999966621399,"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":0.9909999966621399,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9707000255584717,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9501000046730042,"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/computer-science","display_name":"Computer science","score":0.6976310014724731},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5537991523742676},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5493948459625244},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5158883333206177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5080044865608215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4906653165817261},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.46037182211875916},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.24406060576438904},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.059371381998062134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976310014724731},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5537991523742676},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5493948459625244},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5158883333206177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5080044865608215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4906653165817261},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.46037182211875916},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.24406060576438904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.059371381998062134},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2017.7985787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W19128280","https://openalex.org/W1619385794","https://openalex.org/W1964445786","https://openalex.org/W2006515898","https://openalex.org/W2012150114","https://openalex.org/W2022222833","https://openalex.org/W2056792865","https://openalex.org/W2244814250","https://openalex.org/W2294646483","https://openalex.org/W2586163428","https://openalex.org/W2589858513","https://openalex.org/W2594384440","https://openalex.org/W6600807779","https://openalex.org/W6636627054"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W3037283626","https://openalex.org/W4308971182","https://openalex.org/W4238928465","https://openalex.org/W1978371407"],"abstract_inverted_index":{"The":[0],"context":[1,21,58,73],"can":[2],"be":[3],"defined":[4],"as":[5],"the":[6,18,28,46,55],"data":[7,67],"that":[8],"is":[9,25],"needed":[10],"for":[11,66],"solving":[12],"given":[13,37],"problem.":[14],"In":[15,49],"this":[16,50],"view":[17],"effectiveness":[19,60],"of":[20,27,31,45,57,61,71,77,80],"search":[22],"and":[23],"usage":[24,59],"one":[26],"key":[29],"factors":[30],"computational":[32,39],"awareness":[33],"-":[34],"to":[35,42],"solve":[36],"problems":[38],"systems":[40],"need":[41],"become":[43],"aware":[44],"related":[47],"context.":[48],"paper":[51],"we":[52],"concentrate":[53],"on":[54],"estimation":[56],"selected":[62],"machine":[63],"learning":[64],"algorithms":[65],"created":[68],"with":[69],"injection":[70],"hidden":[72],"masked":[74],"by":[75],"noise":[76],"different":[78],"levels":[79],"entropy.":[81]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
