{"id":"https://openalex.org/W3196978408","doi":"https://doi.org/10.1109/redundancy52534.2021.9606443","title":"Group Testing with Non-identical Infection Probabilities","display_name":"Group Testing with Non-identical Infection Probabilities","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3196978408","doi":"https://doi.org/10.1109/redundancy52534.2021.9606443","mag":"3196978408"},"language":"en","primary_location":{"id":"doi:10.1109/redundancy52534.2021.9606443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/redundancy52534.2021.9606443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XVII International Symposium \"Problems of Redundancy in Information and Control Systems\" (REDUNDANCY)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.12418","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042432929","display_name":"Mustafa Doger","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mustafa Doger","raw_affiliation_strings":["University of Maryland, College Park, MD","University of Maryland - College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland - College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021132487","display_name":"\u015eennur Uluku\u015f","orcid":"https://orcid.org/0000-0002-8219-8190"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sennur Ulukus","raw_affiliation_strings":["University of Maryland, College Park, MD","University of Maryland - College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland - College Park","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042432929"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10575326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973000288009644,"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.9939000010490417,"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/group-testing","display_name":"Group testing","score":0.835434079170227},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.668335497379303},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5890969038009644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5567064881324768},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5452339053153992},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5401784777641296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4842469394207001},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48265916109085083},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.43255841732025146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3678690791130066},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.26863181591033936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18334370851516724}],"concepts":[{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.835434079170227},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.668335497379303},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5890969038009644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5567064881324768},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5452339053153992},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5401784777641296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4842469394207001},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48265916109085083},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.43255841732025146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3678690791130066},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.26863181591033936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18334370851516724},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/redundancy52534.2021.9606443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/redundancy52534.2021.9606443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XVII International Symposium \"Problems of Redundancy in Information and Control Systems\" (REDUNDANCY)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.12418","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12418","pdf_url":"https://arxiv.org/pdf/2108.12418","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":"","raw_type":"text"},{"id":"mag:3196978408","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2108.12418.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2108.12418","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.12418","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.12418","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12418","pdf_url":"https://arxiv.org/pdf/2108.12418","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196978408.pdf","grobid_xml":"https://content.openalex.org/works/W3196978408.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1544735579","https://openalex.org/W1968199120","https://openalex.org/W1975680434","https://openalex.org/W1992329592","https://openalex.org/W2006936993","https://openalex.org/W2054735987","https://openalex.org/W2170496663","https://openalex.org/W2912457157","https://openalex.org/W3099488484","https://openalex.org/W3100305021","https://openalex.org/W4205551177"],"related_works":["https://openalex.org/W3211605122","https://openalex.org/W2068033507","https://openalex.org/W2155658392","https://openalex.org/W2885368716","https://openalex.org/W3101622702","https://openalex.org/W2947722513","https://openalex.org/W2750263715","https://openalex.org/W1661150501","https://openalex.org/W2293992861","https://openalex.org/W3016204837","https://openalex.org/W2883374993","https://openalex.org/W2951243569","https://openalex.org/W3213206291","https://openalex.org/W3170773270","https://openalex.org/W2950618930","https://openalex.org/W3214115785","https://openalex.org/W3199797246","https://openalex.org/W2592910719","https://openalex.org/W2901701040","https://openalex.org/W2555956183"],"abstract_inverted_index":{"We":[0,18,34,49],"consider":[1],"a":[2,20],"zero-error":[3],"probabilistic":[4],"group":[5,38],"testing":[6,39],"problem":[7],"where":[8],"individuals":[9,29],"are":[10],"defective":[11],"independently":[12],"but":[13],"not":[14],"with":[15],"identical":[16],"probabilities.":[17],"propose":[19],"greedy":[21],"set":[22,45],"formation":[23,46],"method":[24,47],"to":[25,30,80],"build":[26],"sets":[27],"of":[28,57,74],"be":[31],"tested":[32],"together.":[33],"develop":[35],"an":[36],"adaptive":[37],"algorithm":[40,70],"that":[41,68],"uses":[42],"the":[43,55,60,72,75,81],"proposed":[44,61],"recursively.":[48],"prove":[50],"novel":[51],"upper":[52],"bounds":[53],"on":[54],"number":[56],"tests":[58],"for":[59],"algorithm.":[62],"Via":[63],"numerical":[64],"results,":[65],"we":[66],"show":[67],"our":[69],"outperforms":[71],"state":[73],"art,":[76],"and":[77],"performs":[78],"close":[79],"entropy":[82],"lower":[83],"bound.":[84]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}