{"id":"https://openalex.org/W4320024134","doi":"https://doi.org/10.1109/bigdata55660.2022.10020896","title":"ALBUS: a machine learning algorithm for gravitational wave burst searches","display_name":"ALBUS: a machine learning algorithm for gravitational wave burst searches","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024134","doi":"https://doi.org/10.1109/bigdata55660.2022.10020896"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020896","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020896","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbi.uliege.be/bitstream/2268/303711/1/ALBUS_a_machine_learning_algorithm_for_gravitational_wave_burst_searches.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008567519","display_name":"V. Boudart","orcid":"https://orcid.org/0000-0001-9923-4154"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vincent Boudart","raw_affiliation_strings":["Bâtiment B5, Université de Liège Sart Tilman,STAR Institute,Liège,Belgium,B4000"],"affiliations":[{"raw_affiliation_string":"Bâtiment B5, Université de Liège Sart Tilman,STAR Institute,Liège,Belgium,B4000","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070684969","display_name":"M. Fays","orcid":"https://orcid.org/0000-0002-4390-9746"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxime Fays","raw_affiliation_strings":["Bâtiment B5, Université de Liège Sart Tilman,STAR Institute,Liège,Belgium,B4000"],"affiliations":[{"raw_affiliation_string":"Bâtiment B5, Université de Liège Sart Tilman,STAR Institute,Liège,Belgium,B4000","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008567519"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5262,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68634064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6599","last_page":"6601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9398999810218811,"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/gravitational-wave","display_name":"Gravitational wave","score":0.8176834583282471},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7194569706916809},{"id":"https://openalex.org/keywords/gravitational-search-algorithm","display_name":"Gravitational search algorithm","score":0.6227347254753113},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6170951724052429},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5666558146476746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5459455847740173},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5351899862289429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.520839273929596},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5080466270446777},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.48922061920166016},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4667853116989136},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4636908769607544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3960985243320465},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.25142061710357666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15837037563323975},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14471060037612915}],"concepts":[{"id":"https://openalex.org/C190330329","wikidata":"https://www.wikidata.org/wiki/Q190035","display_name":"Gravitational wave","level":2,"score":0.8176834583282471},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7194569706916809},{"id":"https://openalex.org/C2985224515","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Gravitational search algorithm","level":3,"score":0.6227347254753113},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6170951724052429},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5666558146476746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5459455847740173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5351899862289429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.520839273929596},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5080466270446777},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.48922061920166016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4667853116989136},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4636908769607544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3960985243320465},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.25142061710357666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15837037563323975},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14471060037612915},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020896","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020896","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbi.ulg.ac.be:2268/303711","is_oa":true,"landing_page_url":"https://orbi.uliege.be/handle/2268/303711","pdf_url":"https://orbi.uliege.be/bitstream/2268/303711/1/ALBUS_a_machine_learning_algorithm_for_gravitational_wave_burst_searches.pdf","source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ALBUS (2022); yes, 01/01/2022","raw_type":"peer reviewed"}],"best_oa_location":{"id":"pmh:oai:orbi.ulg.ac.be:2268/303711","is_oa":true,"landing_page_url":"https://orbi.uliege.be/handle/2268/303711","pdf_url":"https://orbi.uliege.be/bitstream/2268/303711/1/ALBUS_a_machine_learning_algorithm_for_gravitational_wave_burst_searches.pdf","source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ALBUS (2022); yes, 01/01/2022","raw_type":"peer reviewed"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231078981","display_name":null,"funder_award_id":"0757058","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2309359476","display_name":null,"funder_award_id":"0823459","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3254221660","display_name":null,"funder_award_id":"PHY-0757058","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7754984518","display_name":null,"funder_award_id":"PHY-0823459","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320024134.pdf","grobid_xml":"https://content.openalex.org/works/W4320024134.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1972643282","https://openalex.org/W1977421865","https://openalex.org/W1994870116","https://openalex.org/W2018824891","https://openalex.org/W2106822551","https://openalex.org/W2765081049","https://openalex.org/W2951002736","https://openalex.org/W2963037989","https://openalex.org/W2972737141","https://openalex.org/W2981368254","https://openalex.org/W3003257820","https://openalex.org/W3103459592","https://openalex.org/W3122518256","https://openalex.org/W3173762688","https://openalex.org/W3175446831","https://openalex.org/W3213688178","https://openalex.org/W4234856688","https://openalex.org/W4293363567","https://openalex.org/W4300273322","https://openalex.org/W4307082099","https://openalex.org/W6846560988"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W4367555392","https://openalex.org/W2374664672","https://openalex.org/W2056136368","https://openalex.org/W2538520412","https://openalex.org/W2883092465"],"abstract_inverted_index":{"Minute-long":[0],"gravitational-wave":[1],"bursts":[2,24],"are":[3,25,37],"transient":[4],"events":[5,36],"that":[6,106],"arise":[7],"from":[8],"a":[9,48,70,95,111],"wide":[10],"variety":[11],"of":[12,31,51],"astrophysical":[13],"phenomena.":[14],"In":[15,90],"opposition":[16],"to":[17],"the":[18,29,41,54,86],"already-detected":[19],"compact":[20],"binary":[21],"mergers,":[22],"minute-long":[23,63],"poorly":[26],"modeled,":[27],"preventing":[28],"use":[30,94],"matched":[32],"filtering":[33],"techniques.":[34],"These":[35],"thus":[38],"probed":[39],"through":[40],"excess-power":[42],"method,":[43],"consisting":[44],"in":[45,53,85],"searching":[46],"for":[47,62,72],"local":[49],"excess":[50],"power":[52],"time-frequency":[55],"space":[56],"correlated":[57],"between":[58],"detectors.":[59],"The":[60],"search":[61,71],"GWs":[64],"can":[65,109],"then":[66],"be":[67],"viewed":[68],"as":[69,99],"high-value":[73],"clustered":[74],"pixels":[75],"within":[76],"an":[77,100],"image,":[78],"which":[79],"has":[80],"already":[81],"been":[82],"tackled":[83],"extensively":[84],"machine":[87],"learning":[88],"realm.":[89],"this":[91],"paper,":[92],"we":[93],"convolutional":[96],"neural":[97],"network":[98],"anomaly":[101],"detection":[102,113],"tool.":[103],"We":[104],"show":[105],"our":[107],"algorithm":[108],"reach":[110],"pixel-wise":[112],"despite":[114],"trained":[115],"with":[116],"minimal":[117],"assumptions.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-02-12T00:00:00"}