{"id":"https://openalex.org/W4392405600","doi":"https://doi.org/10.1109/access.2024.3373437","title":"Robust Subject-Wise Dictionary Learning for fMRI","display_name":"Robust Subject-Wise Dictionary Learning for fMRI","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392405600","doi":"https://doi.org/10.1109/access.2024.3373437"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3373437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373437","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459203.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,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459203.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007304996","display_name":"Muhammad Usman Khalid","orcid":"https://orcid.org/0000-0003-1636-3351"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Khalid","raw_affiliation_strings":["College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-1636-3351","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070935387","display_name":"Bader M. Albahlal","orcid":"https://orcid.org/0000-0002-4397-9867"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Bader M. Albahlal","raw_affiliation_strings":["College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-4397-9867","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2219,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81362254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"35957","last_page":"35971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.989300012588501,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.989300012588501,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7552953362464905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6157257556915283},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5626296997070312},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4548008441925049},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45269495248794556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39255785942077637},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39170199632644653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3682433068752289},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.14422225952148438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552953362464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6157257556915283},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5626296997070312},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4548008441925049},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45269495248794556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39255785942077637},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39170199632644653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3682433068752289},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.14422225952148438},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3373437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373437","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459203.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,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b708846ad84f4e5eb61ba56693f173d9","is_oa":true,"landing_page_url":"https://doaj.org/article/b708846ad84f4e5eb61ba56693f173d9","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,"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 12, Pp 35957-35971 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3373437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3373437","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10459203.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,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392405600.pdf","grobid_xml":"https://content.openalex.org/works/W4392405600.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W176248852","https://openalex.org/W1528119265","https://openalex.org/W1588496737","https://openalex.org/W1971497947","https://openalex.org/W1976353255","https://openalex.org/W1979766935","https://openalex.org/W1983451956","https://openalex.org/W1985327120","https://openalex.org/W1986737463","https://openalex.org/W1999598817","https://openalex.org/W2013294521","https://openalex.org/W2020519533","https://openalex.org/W2021345820","https://openalex.org/W2023095826","https://openalex.org/W2034163657","https://openalex.org/W2040588147","https://openalex.org/W2045851677","https://openalex.org/W2061191150","https://openalex.org/W2071608556","https://openalex.org/W2073309755","https://openalex.org/W2079450984","https://openalex.org/W2089449171","https://openalex.org/W2091545848","https://openalex.org/W2106107795","https://openalex.org/W2115000201","https://openalex.org/W2123649031","https://openalex.org/W2126773133","https://openalex.org/W2139376466","https://openalex.org/W2151176951","https://openalex.org/W2160547390","https://openalex.org/W2217481588","https://openalex.org/W2293929345","https://openalex.org/W2295316051","https://openalex.org/W2514305317","https://openalex.org/W2552343086","https://openalex.org/W2735317774","https://openalex.org/W2886000096","https://openalex.org/W2898712652","https://openalex.org/W2907057997","https://openalex.org/W2915360358","https://openalex.org/W2940141443","https://openalex.org/W2963357389","https://openalex.org/W2971924942","https://openalex.org/W3101710822","https://openalex.org/W4210656292","https://openalex.org/W4238202755","https://openalex.org/W4238398947","https://openalex.org/W4288391583","https://openalex.org/W4312673006","https://openalex.org/W4379086693","https://openalex.org/W4388796266","https://openalex.org/W4396628230","https://openalex.org/W6712355330","https://openalex.org/W6759584083","https://openalex.org/W6795657785"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3200517220","https://openalex.org/W2374569605","https://openalex.org/W2386062718","https://openalex.org/W4393047559","https://openalex.org/W899618282"],"abstract_inverted_index":{"This":[0,169],"paper":[1],"presents":[2],"a":[3,128,164,185,193,234],"robust":[4,91,186,199,211],"subject-wise":[5,181],"sequential":[6,202],"dictionary":[7,203,212],"learning":[8,204,213],"(swsDL)":[9],"algorithm":[10,106,232],"named":[11],"rswsDL":[12,208,231],"for":[13],"functional":[14],"magnetic":[15],"resonance":[16],"imaging":[17],"(fMRI)":[18],"data":[19,63,177],"where":[20,135],"the":[21,28,40,50,58,62,73,90,100,116,136,155,172,180,197,238,243],"negative":[22],"impact":[23],"of":[24,30,42,130,157,174],"dimensionality":[25,77],"reduction":[26],"in":[27,61,184,237],"form":[29],"information":[31],"loss":[32,60,69,92],"and":[33,56,88,112,126,154,209,222],"sensitivity":[34],"to":[35,39,53,71,81,178,196,220,226],"anomalous":[36],"observations":[37],"due":[38],"assumption":[41],"Gaussian":[43,101],"prior":[44],"has":[45],"been":[46],"resolved":[47],"by":[48,84,109],"rotating":[49],"reduced":[51],"dimensions":[52],"optimal":[54],"direction":[55],"replacing":[57],"quadratic":[59],"fidelity":[64],"term":[65],"with":[66],"\u03b1-divergence":[67],"based":[68,214],"function":[70,93],"counter":[72],"outliers,":[74],"respectively.":[75],"While":[76],"optimization":[78],"guaranteed":[79,94],"robustness":[80],"model":[82],"order":[83],"maximizing":[85],"signal":[86],"intensity":[87],"smoothness,":[89],"decomposition":[95,133],"stability":[96],"against":[97],"deviations":[98],"from":[99,115],"noise":[102],"model.":[103],"The":[104,207,230],"proposed":[105],"was":[107,161],"derived":[108],"deploying":[110],"spatial":[111],"temporal":[113],"bases":[114],"computationally":[117],"fast":[118],"sparse":[119,158],"spatiotemporal":[120],"blind":[121],"source":[122,182,215],"separation":[123,183,216],"(ssBSS)":[124],"method":[125],"solving":[127],"sequence":[129],"rank-1":[131],"matrix":[132],"problems,":[134],"<italic":[137,144],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138,141,145,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[139,146],"<sub":[140,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[142],"/":[143],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[149],"-norm":[150],"penalty/constraint":[151],"promoted":[152],"sparsity,":[153],"estimation":[156],"representation":[159],"matrices":[160],"accomplished":[162],"using":[163],"block":[165],"coordinate":[166],"descent":[167],"approach.":[168],"strategy":[170],"allowed":[171],"utilization":[173],"multi-subject":[175],"fMRI":[176,224],"enhance":[179],"manner.":[187],"It,":[188],"therefore,":[189],"can":[190],"be":[191],"considered":[192],"promising":[194],"alternative":[195],"state-of-the-art":[198],"consistent":[200],"adaptive":[201],"(rACSD)":[205],"algorithm.":[206,245],"existing":[210],"algorithms":[217],"were":[218],"applied":[219],"synthetic":[221],"experimental":[223],"datasets":[225],"validate":[227],"its":[228],"performance.":[229],"manifested":[233],"16.7%":[235],"increase":[236],"mean":[239],"correlation":[240],"value":[241],"over":[242],"rACSD":[244]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}