{"id":"https://openalex.org/W3214768413","doi":"https://doi.org/10.1109/access.2021.3130551","title":"Adaptive Data Compression for Classification Problems","display_name":"Adaptive Data Compression for Classification Problems","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3214768413","doi":"https://doi.org/10.1109/access.2021.3130551","mag":"3214768413"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3130551","doi":"https://doi.org/10.1109/access.2021.3130551","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130551","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627182.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627182.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043966041","display_name":"Farhad Pourkamali\u2010Anaraki","orcid":"https://orcid.org/0000-0003-4078-1676","observed_orcids":["https://orcid.org/0000-0003-4078-1676"]},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farhad Pourkamali-Anaraki","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Lowell, MA 01854 USA. (e-mail: farhad_pourkamali@uml.edu)","Department of Computer Science, University of Massachusetts, Lowell, MA 01854 USA"],"raw_orcid":"https://orcid.org/0000-0003-4078-1676","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA 01854 USA. (e-mail: farhad_pourkamali@uml.edu)","institution_ids":["https://openalex.org/I133738476"]},{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA 01854 USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055950981","display_name":"Walter Dean Bennette","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4388482671","display_name":"Rome Laboratory","ror":"https://ror.org/02q9pw720","country_code":"US","type":"government","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4388482671","https://openalex.org/I4389425425"]},{"id":"https://openalex.org/I4388482673","display_name":"U.S. Air Force Research Laboratory Information Directorate","ror":"https://ror.org/00z65zs77","country_code":"US","type":"government","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4388482673","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter D. Bennette","raw_affiliation_strings":["Information Directorate, Air Force Research Lab, Rome, NY 13441 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Directorate, Air Force Research Lab, Rome, NY 13441 USA","institution_ids":["https://openalex.org/I4388482671","https://openalex.org/I4388482673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.2899,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52985516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"157654","last_page":"157669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9502000212669373,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9502000212669373,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.021700000390410423,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.007199999876320362,"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/adaptive-data-compression","display_name":"adaptive compression","score":0.921999990940094},{"id":"https://openalex.org/keywords/data-subset-selection","display_name":"data subset selection","score":0.9879999756813049},{"id":"https://openalex.org/keywords/interactive-teaching-methods","display_name":"interactive teaching methods","score":0.8420000076293945},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"importance sampling","score":0.9739999771118164},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.7749999761581421},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.8489999771118164},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"multi-class classification","score":0.9100000262260437},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.9800000190734863},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7860000133514404},{"id":"https://openalex.org/keywords/data-summaries","display_name":"data summaries","score":0.43799999356269836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712290048599243},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6026013493537903},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48854002356529236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3895159363746643},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34159067273139954},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3130551","doi":"https://doi.org/10.1109/access.2021.3130551","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130551","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627182.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81109cc807f3452398476c90783b5d60","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/81109cc807f3452398476c90783b5d60","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 157654-157669 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3130551","doi":"https://doi.org/10.1109/access.2021.3130551","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130551","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627182.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1010068382","display_name":null,"funder_award_id":"PIA FA8750-19-3-1000","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G1848142539","display_name":null,"funder_award_id":"MOU FA8750-19-3-1000","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214768413.pdf","grobid_xml":"https://content.openalex.org/works/W3214768413.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1888026739","https://openalex.org/W2084701050","https://openalex.org/W2098742124","https://openalex.org/W2101234009","https://openalex.org/W2120663175","https://openalex.org/W2127179243","https://openalex.org/W2127218421","https://openalex.org/W2163605009","https://openalex.org/W2403033910","https://openalex.org/W2471138382","https://openalex.org/W2521200999","https://openalex.org/W2559008206","https://openalex.org/W2562319768","https://openalex.org/W2601251344","https://openalex.org/W2735531870","https://openalex.org/W2794302998","https://openalex.org/W2798782420","https://openalex.org/W2800788706","https://openalex.org/W2805004751","https://openalex.org/W2807006342","https://openalex.org/W2809440592","https://openalex.org/W2894187248","https://openalex.org/W2911964244","https://openalex.org/W2944955921","https://openalex.org/W2951061410","https://openalex.org/W2951786554","https://openalex.org/W2970375204","https://openalex.org/W2970602317","https://openalex.org/W2981895326","https://openalex.org/W3006201850","https://openalex.org/W3011677062","https://openalex.org/W3033515580","https://openalex.org/W3034251946","https://openalex.org/W3037254647","https://openalex.org/W3083628579","https://openalex.org/W3087648894","https://openalex.org/W3095396108","https://openalex.org/W3098758181","https://openalex.org/W3099597609","https://openalex.org/W3101186729","https://openalex.org/W3105574171","https://openalex.org/W3144619878","https://openalex.org/W3168767106","https://openalex.org/W4239510810","https://openalex.org/W4298132949","https://openalex.org/W6774954186"],"related_works":["https://openalex.org/W1912128066","https://openalex.org/W2440580753","https://openalex.org/W4392300927","https://openalex.org/W7117305503","https://openalex.org/W2587300095","https://openalex.org/W2095688337","https://openalex.org/W4381568221","https://openalex.org/W7168140217","https://openalex.org/W621566475","https://openalex.org/W4391404661"],"abstract_inverted_index":{"Data":[0],"subset":[1,89],"selection":[2,90],"is":[3,29,69],"a":[4,26,131],"crucial":[5],"task":[6,103],"in":[7,23,91],"deploying":[8],"machine":[9,59],"learning":[10,60,102,168],"algorithms":[11,82],"under":[12],"strict":[13],"constraints":[14],"regarding":[15],"memory":[16],"and":[17,49,62,130,158,161,169,178],"computation":[18],"resources.":[19],"Despite":[20],"extensive":[21,150],"research":[22],"this":[24],"area,":[25],"practical":[27],"difficulty":[28],"the":[30,37,41,92,101,109,113,137,140,144,175,183],"lack":[31],"of":[32,40,94,112,139,146,180,182],"rigorous":[33],"strategies":[34],"for":[35,71,83],"identifying":[36],"optimal":[38],"size":[39],"reduced":[42],"data":[43,88,141,154],"to":[44,106,108,126,134],"regulate":[45],"trade-offs":[46],"between":[47],"accuracy":[48],"efficiency.":[50],"Furthermore,":[51],"existing":[52,64],"methods":[53],"are":[54],"often":[55],"built":[56],"around":[57],"specific":[58],"models,":[61],"translating":[63],"theoretical":[65],"results":[66,173],"into":[67],"practice":[68],"challenging":[70],"practitioners.":[72],"To":[73],"address":[74],"these":[75],"problems,":[76],"we":[77],"propose":[78,125],"two":[79],"adaptive":[80],"compression":[81],"classification":[84,163],"problems":[85],"by":[86],"formulating":[87],"form":[93],"interactive":[95],"teaching.":[96],"The":[97],"user":[98],"interacts":[99],"with":[100],"at":[104,115],"hand":[105],"adapt":[107],"unique":[110],"structure":[111],"problem":[114],"hand,":[116],"developing":[117],"an":[118],"iterative":[119],"importance":[120,128],"sampling":[121,129],"scheme.":[122],"We":[123,148],"also":[124],"couple":[127],"diversity":[132],"criterion":[133],"further":[135],"control":[136],"evolution":[138],"summary":[142],"over":[143],"rounds":[145],"interaction.":[147],"conduct":[149],"experiments":[151],"on":[152],"several":[153],"sets,":[155],"including":[156],"imbalanced":[157],"multiclass":[159],"data,":[160],"various":[162],"algorithms,":[164],"such":[165],"as":[166],"ensemble":[167],"neural":[170],"networks.":[171],"Our":[172],"demonstrate":[174],"performance,":[176],"efficiency,":[177],"ease":[179],"implementation":[181],"underlying":[184],"framework.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-06T00:00:00"}