{"id":"https://openalex.org/W2903392596","doi":"https://doi.org/10.48550/arxiv.1811.12258","title":"BCCNet: Bayesian classifier combination neural network","display_name":"BCCNet: Bayesian classifier combination neural network","publication_year":2018,"publication_date":"2018-11-29","ids":{"openalex":"https://openalex.org/W2903392596","doi":"https://doi.org/10.48550/arxiv.1811.12258","mag":"2903392596"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1811.12258","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.12258","pdf_url":"https://arxiv.org/pdf/1811.12258","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.12258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005023779","display_name":"Olga Isupova","orcid":"https://orcid.org/0000-0002-8506-6871","observed_orcids":["https://orcid.org/0000-0002-8506-6871"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Isupova, Olga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331862","display_name":"Yunpeng Li","orcid":"https://orcid.org/0000-0003-4798-541X","observed_orcids":["https://orcid.org/0000-0003-4798-541X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yunpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090844403","display_name":"Danil Kuzin","orcid":"https://orcid.org/0000-0003-3582-722X","observed_orcids":["https://orcid.org/0000-0003-3582-722X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuzin, Danil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058617210","display_name":"Stephen Roberts","orcid":"https://orcid.org/0000-0002-9305-9268","observed_orcids":["https://orcid.org/0000-0002-9305-9268"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberts, Stephen J","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025617632","display_name":"Katherine J. Willis","orcid":"https://orcid.org/0000-0002-6763-2489","observed_orcids":["https://orcid.org/0000-0002-6763-2489"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Willis, Katherine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084634929","display_name":"Steven Reece","orcid":"https://orcid.org/0000-0002-6914-3961","observed_orcids":["https://orcid.org/0000-0002-6914-3961"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reece, Steven","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.8827999830245972,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.8827999830245972,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.08089999854564667,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.004999999888241291,"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/crowdsourcing","display_name":"crowdsourcing","score":0.7369999885559082},{"id":"https://openalex.org/keywords/label-aggregation","display_name":"label aggregation","score":0.7940000295639038},{"id":"https://openalex.org/keywords/citizen-science","display_name":"citizen science","score":0.6850000023841858},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"unstructured data","score":0.6840000152587891},{"id":"https://openalex.org/keywords/natural-disaster-response","display_name":"natural disaster response","score":0.7990000247955322},{"id":"https://openalex.org/keywords/malaria-prevention","display_name":"malaria prevention","score":0.996999979019165},{"id":"https://openalex.org/keywords/damage-detection","display_name":"damage detection","score":0.9120000004768372},{"id":"https://openalex.org/keywords/disaster-prevention","display_name":"disaster prevention","score":0.6000000238418579},{"id":"https://openalex.org/keywords/developing-countries","display_name":"developing countries","score":0.625}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6497718095779419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5867519974708557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320737361907959},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5209439992904663},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49211496114730835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46507808566093445},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.45572155714035034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3541322350502014}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:1811.12258","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.12258","pdf_url":"https://arxiv.org/pdf/1811.12258","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/8192aca4-fa0b-4447-8522-5f7d054e1881","doi":null,"is_oa":false,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/8192aca4-fa0b-4447-8522-5f7d054e1881","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Isupova, O, Li, Y, Kuzin, D, Roberts, S J, Willis, K & Reece, S 2018 'BCCNet: Bayesian classifier combination neural network'.","raw_type":"info:eu-repo/semantics/preprint"},{"id":"doi:10.48550/arxiv.1811.12258","doi":"https://doi.org/10.48550/arxiv.1811.12258","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.12258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.12258","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.12258","pdf_url":"https://arxiv.org/pdf/1811.12258","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.550000011920929,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319715","display_name":"Centers for Disease Control and Prevention Foundation","ror":"https://ror.org/050103r16"},{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2770308328"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2381390841","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505"],"abstract_inverted_index":{"Machine":[0],"learning":[1,47,103,132],"research":[2],"for":[3,54,105,164,170],"developing":[4,184],"countries":[5],"can":[6],"demonstrate":[7],"clear":[8],"sustainable":[9],"impact":[10],"by":[11],"delivering":[12],"actionable":[13],"and":[14,22,36,40,68,84,143,149,167],"timely":[15],"information":[16,29],"to":[17,26,43,74,82,86,94,100,154],"in-country":[18,37],"government":[19],"organisations":[20],"(GOs)":[21],"NGOs":[23],"in":[24,179],"response":[25],"their":[27,125],"critical":[28],"requirements.":[30],"We":[31,134],"co-create":[32],"products":[33],"with":[34,116,128],"UK":[35],"commercial,":[38],"GO":[39],"NGO":[41],"partners":[42],"ensure":[44],"the":[45,147,174,180],"machine":[46,102,131],"algorithms":[48,104],"address":[49],"appropriate":[50],"user":[51],"needs":[52],"whether":[53],"tactical":[55],"decision":[56],"making":[57],"or":[58],"evidence-based":[59],"policy":[60],"decisions.":[61],"In":[62],"one":[63],"particular":[64],"case,":[65],"we":[66],"developed":[67],"deployed":[69],"a":[70,137],"novel":[71],"algorithm,":[72],"BCCNet,":[73,136],"quickly":[75],"process":[76,155],"large":[77,106],"quantities":[78],"of":[79,176,183],"unstructured":[80,98],"data":[81,99,108],"prevent":[83],"respond":[85],"natural":[87],"disasters.":[88],"Crowdsourcing":[89],"provides":[90],"an":[91,151],"efficient":[92],"mechanism":[93],"generate":[95],"labels":[96,112,145],"from":[97,146],"prime":[101],"scale":[107],"analysis.":[109],"However,":[110],"these":[111],"are":[113],"often":[114],"imperfect":[115],"qualities":[117],"varying":[118],"among":[119],"different":[120],"citizen":[121],"scientists,":[122],"which":[123],"prohibits":[124],"direct":[126],"use":[127],"many":[129],"state-of-the-art":[130],"techniques.":[133],"describe":[135],"framework":[138],"that":[139],"simultaneously":[140],"aggregates":[141],"biased":[142],"contradictory":[144],"crowd":[148],"trains":[150],"automatic":[152],"classifier":[153],"new":[156],"data.":[157],"Our":[158],"case":[159],"studies,":[160],"mosquito":[161],"sound":[162],"detection":[163,169],"malaria":[165],"prevention":[166],"damage":[168],"disaster":[171],"response,":[172],"show":[173],"efficacy":[175],"our":[177],"method":[178],"challenging":[181],"context":[182],"world":[185],"applications.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2025-10-10T00:00:00"}