{"id":"https://openalex.org/W2256766779","doi":"https://doi.org/10.1109/isit.2016.7541525","title":"Improved group testing rates with constant column weight designs","display_name":"Improved group testing rates with constant column weight designs","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2256766779","doi":"https://doi.org/10.1109/isit.2016.7541525","mag":"2256766779"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1602.03471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021110395","display_name":"Matthew Aldridge","orcid":"https://orcid.org/0000-0002-9347-1586"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Matthew Aldridge","raw_affiliation_strings":["Department of Mathematical Sciences, University of Bath, BA2 7AY, UK","Department of Mathematical Sciences, University of Bath Bath, UK"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Bath, BA2 7AY, UK","institution_ids":["https://openalex.org/I51601045"]},{"raw_affiliation_string":"Department of Mathematical Sciences, University of Bath Bath, UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058220187","display_name":"Oliver Johnson","orcid":"https://orcid.org/0000-0002-3645-6670"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oliver Johnson","raw_affiliation_strings":["School of Mathematics, University of Bristol, BS8 1TW, UK","School of Mathematics, University of Bristol Bristol, UK"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Bristol, BS8 1TW, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"School of Mathematics, University of Bristol Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046337437","display_name":"Jonathan Scarlett","orcid":"https://orcid.org/0000-0003-1403-9160"},"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":"Jonathan Scarlett","raw_affiliation_strings":["Laboratory for Information and Inference Systems, École Polytechnique Fédérale de Lausanne, CH-1015, Switzerland","Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Laboratory for Information and Inference Systems, Switzerland"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Inference Systems, École Polytechnique Fédérale de Lausanne, CH-1015, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Laboratory for Information and Inference Systems, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021110395"],"corresponding_institution_ids":["https://openalex.org/I51601045"],"apc_list":null,"apc_paid":null,"fwci":0.8928,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.73888668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1381","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/constant","display_name":"Constant (computer programming)","score":0.8059967756271362},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.7896748781204224},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6647966504096985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5353218913078308},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.49622637033462524},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.473665326833725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4472726285457611},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.44619283080101013},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3511463701725006},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3376259207725525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31883305311203003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07115766406059265},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.06878402829170227},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06845390796661377}],"concepts":[{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.8059967756271362},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.7896748781204224},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6647966504096985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5353218913078308},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.49622637033462524},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.473665326833725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4472726285457611},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.44619283080101013},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3511463701725006},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3376259207725525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31883305311203003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07115766406059265},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.06878402829170227},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06845390796661377},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/isit.2016.7541525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:163716","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:arXiv.org:1602.03471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.03471","pdf_url":"https://arxiv.org/pdf/1602.03471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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:research-information.bris.ac.uk:openaire_cris_publications/10722d68-75e6-4888-9f82-71bd09b91b93","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/10722d68-75e6-4888-9f82-71bd09b91b93","pdf_url":"https://research-information.bris.ac.uk/files/71766544/johnsonc14.pdf","source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Aldridge, M P, Johnson, O T & Scarlett, J 2016, Improved group testing rates with constant column weight designs. in 2016 IEEE International Symposium on Information Theory (ISIT 2016) : Proceedings of a meeting held 10-15 July 2016 at Barcelona, Spain. Proceedings of the IEEE International Symposium on Information Theory (ISIT), Institute of Electrical and Electronics Engineers (IEEE), pp. 1381-1386. https://doi.org/10.1109/ISIT.2016.7541525","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:infoscience.epfl.ch:225765","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/225765","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"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/10722d68-75e6-4888-9f82-71bd09b91b93","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/10722d68-75e6-4888-9f82-71bd09b91b93","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1602.03471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.03471","pdf_url":"https://arxiv.org/pdf/1602.03471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1537002715","https://openalex.org/W1544735579","https://openalex.org/W1932586092","https://openalex.org/W1963802661","https://openalex.org/W1968160142","https://openalex.org/W1968199120","https://openalex.org/W1975680434","https://openalex.org/W2067389921","https://openalex.org/W2068033507","https://openalex.org/W2101627389","https://openalex.org/W2128073148","https://openalex.org/W2138323948","https://openalex.org/W2158419847","https://openalex.org/W2216823824","https://openalex.org/W2510244936","https://openalex.org/W2962726898","https://openalex.org/W2989661724","https://openalex.org/W3100593671","https://openalex.org/W3101622702","https://openalex.org/W3103169419","https://openalex.org/W3105223537","https://openalex.org/W3122789203","https://openalex.org/W4239807698","https://openalex.org/W4256313164","https://openalex.org/W4298845837","https://openalex.org/W4298949291","https://openalex.org/W6785919145","https://openalex.org/W6891832191"],"related_works":["https://openalex.org/W1619264321","https://openalex.org/W2899588557","https://openalex.org/W4254565718","https://openalex.org/W4298392611","https://openalex.org/W3094386089","https://openalex.org/W2180382450","https://openalex.org/W2181722423","https://openalex.org/W2378097670","https://openalex.org/W2158905189","https://openalex.org/W4319874546"],"abstract_inverted_index":{"We":[0,34,103],"consider":[1],"nonadaptive":[2],"group":[3],"testing":[4,27],"where":[5,44],"each":[6,45,50],"item":[7,46],"is":[8,38,47,70,94,120],"placed":[9,48],"in":[10,49,74,91],"a":[11,54,122],"constant":[12,31,112],"number":[13],"of":[14,64,99],"tests.":[15],"The":[16],"tests":[17],"are":[18],"chosen":[19],"uniformly":[20],"at":[21],"random":[22],"with":[23,53,87],"replacement,":[24],"so":[25],"the":[26,62,65,83,95,111,126],"matrix":[28],"has":[29],"(almost)":[30],"column":[32,113],"weights.":[33],"show":[35,60],"that":[36,61],"performance":[37,98],"improved":[39],"compared":[40],"to":[41],"Bernoulli":[42,88,128],"designs,":[43],"test":[51],"independently":[52],"fixed":[55],"probability.":[56],"In":[57,78],"particular,":[58],"we":[59],"rate":[63],"practical":[66,101],"COMP":[67],"detection":[68],"algorithm":[69,86],"increased":[71],"by":[72],"31%":[73,123],"all":[75],"sparsity":[76],"regimes.":[77],"dense":[79,117],"cases,":[80],"this":[81,119],"beats":[82],"best":[84,96],"possible":[85],"tests,":[89],"and":[90],"sparse":[92],"cases":[93,118],"proven":[97],"any":[100],"algorithm.":[102],"also":[104],"give":[105],"an":[106],"algorithm-independent":[107],"upper":[108],"bound":[109],"for":[110,116],"weight":[114],"case;":[115],"again":[121],"increase":[124],"over":[125],"analogous":[127],"result.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2021-02-01T00:00:00"}