{"id":"https://openalex.org/W3213015997","doi":"https://doi.org/10.1109/mlsp52302.2021.9596566","title":"Explainable Deep Learning Detection of Gaussian Propeller Noise with Unknown Signal-to-Noise Ratio","display_name":"Explainable Deep Learning Detection of Gaussian Propeller Noise with Unknown Signal-to-Noise Ratio","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3213015997","doi":"https://doi.org/10.1109/mlsp52302.2021.9596566","mag":"3213015997"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp52302.2021.9596566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5109594154","display_name":"Mahiout Thomas","orcid":null},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1283236314","display_name":"Thales (Portugal)","ror":"https://ror.org/051w1mx35","country_code":"PT","type":"company","lineage":["https://openalex.org/I1283236314","https://openalex.org/I4210140930"]}],"countries":["FR","PT"],"is_corresponding":true,"raw_author_name":"Mahiout Thomas","raw_affiliation_strings":["Thales DMS","Universit\u00e9 C\u00f4te d\u2019 Azur, CNRS, I3S, Sophia-Antipolis, France","Universit\u00e9 C\u00f4te d' Azur, CNRS, I3S, Sophia-Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Thales DMS","institution_ids":["https://openalex.org/I1283236314"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019 Azur, CNRS, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d' Azur, CNRS, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045583054","display_name":"Lionel Fillatre","orcid":"https://orcid.org/0000-0002-8152-1769"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fillatre Lionel","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019 Azur, CNRS, I3S, Sophia-Antipolis, France","Universit\u00e9 C\u00f4te d' Azur, CNRS, I3S, Sophia-Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019 Azur, CNRS, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d' Azur, CNRS, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011308958","display_name":"Deruaz-Pepin Laurent","orcid":null},"institutions":[{"id":"https://openalex.org/I1283236314","display_name":"Thales (Portugal)","ror":"https://ror.org/051w1mx35","country_code":"PT","type":"company","lineage":["https://openalex.org/I1283236314","https://openalex.org/I4210140930"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Deruaz-Pepin Laurent","raw_affiliation_strings":["Thales DMS"],"affiliations":[{"raw_affiliation_string":"Thales DMS","institution_ids":["https://openalex.org/I1283236314"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109594154"],"corresponding_institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590","https://openalex.org/I1283236314"],"apc_list":null,"apc_paid":null,"fwci":0.40453493,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64703038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9926000237464905,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7690255045890808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7308793067932129},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7030155062675476},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6269252896308899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6055690050125122},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5710439682006836},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.47870495915412903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44008925557136536},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43971186876296997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4208020567893982},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.41495904326438904},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11707004904747009},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06332099437713623}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7690255045890808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308793067932129},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7030155062675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6269252896308899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6055690050125122},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5710439682006836},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.47870495915412903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44008925557136536},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43971186876296997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4208020567893982},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.41495904326438904},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11707004904747009},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06332099437713623},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp52302.2021.9596566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03624031v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03624031","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Oct 2021, Gold Coast, France. pp.1-6, ⟨10.1109/MLSP52302.2021.9596566⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321663","display_name":"Association Nationale de la Recherche et de la Technologie","ror":"https://ror.org/00ht2ab73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1564947197","https://openalex.org/W1955914262","https://openalex.org/W2052666245","https://openalex.org/W2058362654","https://openalex.org/W2089977773","https://openalex.org/W2091432990","https://openalex.org/W2101514610","https://openalex.org/W2161086430","https://openalex.org/W2529337537","https://openalex.org/W2566424719","https://openalex.org/W2591013610","https://openalex.org/W2732724430","https://openalex.org/W2744401004","https://openalex.org/W2745357708","https://openalex.org/W2794574871","https://openalex.org/W2962793908","https://openalex.org/W2963739978","https://openalex.org/W3016185226","https://openalex.org/W3084280292","https://openalex.org/W3116286104","https://openalex.org/W3133603318","https://openalex.org/W3133816032","https://openalex.org/W6731910474","https://openalex.org/W6740483536","https://openalex.org/W6782802047","https://openalex.org/W6925198602"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"International":[0],"audience":[1]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}