{"id":"https://openalex.org/W2548111533","doi":"https://doi.org/10.1145/2908446.2908460","title":"Ensemble Based-Feature Selection on Human Activity Recognition","display_name":"Ensemble Based-Feature Selection on Human Activity Recognition","publication_year":2016,"publication_date":"2016-05-09","ids":{"openalex":"https://openalex.org/W2548111533","doi":"https://doi.org/10.1145/2908446.2908460","mag":"2548111533"},"language":"en","primary_location":{"id":"doi:10.1145/2908446.2908460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908446.2908460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Informatics and Systems","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/A5072532371","display_name":"Hussein Mazaar","orcid":"https://orcid.org/0000-0002-1665-5947"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Hussein Mazaar","raw_affiliation_strings":["Faculty of Computers &amp; Info., Cairo University, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers &amp; Info., Cairo University, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041750849","display_name":"E. Emary","orcid":"https://orcid.org/0000-0002-9537-2530"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Eid Emary","raw_affiliation_strings":["Faculty of Computers &amp; Info., Cairo University, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers &amp; Info., Cairo University, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052549597","display_name":"Hoda M. Onsi","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hoda Onsi","raw_affiliation_strings":["Faculty of Computers &amp; Info., Cairo University, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers &amp; Info., Cairo University, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072532371"],"corresponding_institution_ids":["https://openalex.org/I145487455"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67214325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/feature-selection","display_name":"Feature selection","score":0.7125416994094849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114723920822144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198025941848755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.609693706035614},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5193480253219604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48213979601860046},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.46517014503479004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32755255699157715}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7125416994094849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114723920822144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198025941848755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.609693706035614},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5193480253219604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48213979601860046},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.46517014503479004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32755255699157715},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908446.2908460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908446.2908460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Informatics and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1492807824","https://openalex.org/W1633957447","https://openalex.org/W1983705368","https://openalex.org/W2010399676","https://openalex.org/W2024868105","https://openalex.org/W2034328688","https://openalex.org/W2041941194","https://openalex.org/W2058256495","https://openalex.org/W2058474238","https://openalex.org/W2063153269","https://openalex.org/W2095642553","https://openalex.org/W2096691069","https://openalex.org/W2101194540","https://openalex.org/W2110142955","https://openalex.org/W2110628941","https://openalex.org/W2114016557","https://openalex.org/W2124017786","https://openalex.org/W2133277699","https://openalex.org/W2139594308","https://openalex.org/W2142194269","https://openalex.org/W2146634731","https://openalex.org/W2159993056","https://openalex.org/W2162915993","https://openalex.org/W2163680646","https://openalex.org/W2165250079","https://openalex.org/W2165715280","https://openalex.org/W2533739470","https://openalex.org/W2596164567","https://openalex.org/W2911964244","https://openalex.org/W2942992487"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2506504620","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2892259437","https://openalex.org/W2131801795","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0,13,35,83,90,107],"paper":[1],"presents":[2],"an":[3,18,93],"approach":[4],"for":[5],"ensemble-based":[6],"feature":[7],"selection":[8],"in":[9,27,95],"human":[10,25],"activity":[11],"recognition.":[12],"goal":[14],"is":[15,77],"to":[16,22,48,66,79,109],"select":[17],"important":[19],"discriminating":[20],"features":[21,36,102],"recognize":[23],"the":[24,31,68,81,101],"activities":[26],"videos":[28],"and":[29,44,50,57,61,100],"removing":[30],"irrelevant":[32],"redundant":[33],"features.":[34,70],"are":[37,64,103],"extracted":[38],"based":[39],"on":[40,87],"spatiotemporal":[41],"orientation":[42],"energy":[43],"template":[45],"matching.":[46],"Due":[47],"robust":[49],"accurate":[51],"ensemble":[52],"models":[53],"with":[54,74],"low":[55],"variability":[56],"biases,":[58],"Gradient":[59],"Boosting":[60],"Random":[62],"Forest":[63],"applied":[65],"identify":[67],"relevant":[69],"Support":[71],"Vector":[72],"Machine":[73],"linear":[75],"kernel":[76],"used":[78],"classify":[80],"activities.":[82],"experiments":[84],"have":[85],"tested":[86],"KTH":[88],"dataset.":[89],"results":[91],"show":[92],"improvement":[94],"accuracy":[96],"(better":[97],"by":[98,105],"1.51%)":[99],"reduced":[104],"99.2%.":[106],"Comparisons":[108],"related":[110],"works":[111],"were":[112],"given.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"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"}
