{"id":"https://openalex.org/W2122039611","doi":"https://doi.org/10.1109/percomw.2011.5766860","title":"Detecting anomalies to improve classification performance in opportunistic sensor networks","display_name":"Detecting anomalies to improve classification performance in opportunistic sensor networks","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2122039611","doi":"https://doi.org/10.1109/percomw.2011.5766860","mag":"2122039611"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2011.5766860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2011.5766860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/163428","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066495062","display_name":"Hesam Sagha","orcid":"https://orcid.org/0000-0002-8644-9591"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hesam Sagha","raw_affiliation_strings":["Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050363894","display_name":"Jos\u00e9 del R. Mill\u00e1n","orcid":"https://orcid.org/0000-0001-5819-1522"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jose del R. Millan","raw_affiliation_strings":["Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057999426","display_name":"Ricardo Chavarriaga","orcid":"https://orcid.org/0000-0002-8879-2860"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ricardo Chavarriaga","raw_affiliation_strings":["Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Ecole Poly technique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Defitech Foundation Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"154","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7300818562507629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164844274520874},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5500065088272095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383291244506836},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5000224113464355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.474906325340271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3814956545829773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37220633029937744},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3223115801811218},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1080751121044159}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7300818562507629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164844274520874},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5500065088272095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383291244506836},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5000224113464355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.474906325340271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3814956545829773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37220633029937744},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3223115801811218},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1080751121044159}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/percomw.2011.5766860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2011.5766860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.190.3176","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.3176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/163428/files/persens.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:163428","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/163428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:163428","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/163428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1482540049","https://openalex.org/W1540596182","https://openalex.org/W1812533755","https://openalex.org/W1965763857","https://openalex.org/W1998554942","https://openalex.org/W2010922160","https://openalex.org/W2087628434","https://openalex.org/W2097378179","https://openalex.org/W2115962466","https://openalex.org/W2122646361","https://openalex.org/W2126511896","https://openalex.org/W2148857358","https://openalex.org/W2164568552","https://openalex.org/W2164706953","https://openalex.org/W2164755285","https://openalex.org/W2995825788","https://openalex.org/W3022296623","https://openalex.org/W6638441487","https://openalex.org/W6674823413","https://openalex.org/W6679380999"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W3148968234","https://openalex.org/W2890570089","https://openalex.org/W2989915292","https://openalex.org/W2295628284","https://openalex.org/W145760256","https://openalex.org/W2028086369","https://openalex.org/W2123841989","https://openalex.org/W2129477171","https://openalex.org/W2073793005"],"abstract_inverted_index":{"Anomalies":[0],"and":[1,45,60,86],"changes":[2],"in":[3,41],"sensor":[4,68],"networks":[5],"which":[6],"are":[7],"deployed":[8],"for":[9],"activity":[10,79],"recognition":[11],"may":[12],"abate":[13],"the":[14,26,36,54,61,96,99],"classification":[15,100],"performance.":[16,27],"Detection":[17],"of":[18,84,89],"anomalies":[19],"followed":[20],"by":[21],"compensatory":[22],"reaction":[23],"would":[24],"ameliorate":[25],"This":[28],"paper":[29],"introduces":[30],"a":[31,42,46,67],"novel":[32],"approach":[33,52],"to":[34,48,64],"detect":[35],"faulty":[37],"or":[38,72],"degraded":[39,71],"sensors":[40,85],"multi-sensory":[43],"environment":[44],"way":[47],"compensate":[49],"it.":[50],"The":[51,91],"considers":[53],"distance":[55],"between":[56],"each":[57],"classifier":[58],"output":[59,63],"fusion":[62],"decide":[65],"whether":[66],"(classifier)":[69],"is":[70,75],"not.":[73],"Evaluation":[74],"done":[76],"on":[77],"two":[78],"datasets":[80],"with":[81],"different":[82,87],"configuration":[83],"types":[88],"noise.":[90],"results":[92],"show":[93],"that":[94],"using":[95],"method":[97],"improves":[98],"accuracy.":[101]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}