{"id":"https://openalex.org/W4412066571","doi":"https://doi.org/10.1007/s40747-025-02000-w","title":"Adaptive infant cry classification using multi-armed bandit modality selection in an attentive convolutional recurrent neural network model","display_name":"Adaptive infant cry classification using multi-armed bandit modality selection in an attentive convolutional recurrent neural network model","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412066571","doi":"https://doi.org/10.1007/s40747-025-02000-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02000-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02000-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02000-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02000-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052449866","display_name":"Geofrey Owino","orcid":"https://orcid.org/0009-0009-0400-3384"},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":true,"raw_author_name":"Geofrey Owino","raw_affiliation_strings":["Department of Mathematics, University of Nairobi, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Nairobi, Nairobi, Kenya","institution_ids":["https://openalex.org/I12859529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043298461","display_name":"Timothy Kamanu","orcid":"https://orcid.org/0000-0002-3842-9502"},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Timothy Kamanu","raw_affiliation_strings":["Department of Mathematics, University of Nairobi, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Nairobi, Nairobi, Kenya","institution_ids":["https://openalex.org/I12859529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014956602","display_name":"John Ndiritu","orcid":"https://orcid.org/0000-0001-9092-3172"},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"John Ndiritu","raw_affiliation_strings":["Department of Mathematics, University of Nairobi, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Nairobi, Nairobi, Kenya","institution_ids":["https://openalex.org/I12859529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118839594","display_name":"Conlet Biketi Kikechi","orcid":null},"institutions":[{"id":"https://openalex.org/I279922783","display_name":"Pwani University","ror":"https://ror.org/02952pd71","country_code":"KE","type":"education","lineage":["https://openalex.org/I279922783"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Conlet Biketi Kikechi","raw_affiliation_strings":["Department of Mathematics and Computer Science, Pwani University, Kilifi, Kenya"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Pwani University, Kilifi, Kenya","institution_ids":["https://openalex.org/I279922783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052449866"],"corresponding_institution_ids":["https://openalex.org/I12859529"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":4.2339,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96054189,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"11","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9904999732971191,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6357742547988892},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6298588514328003},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5885404348373413},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5561417937278748},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5539127588272095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5449388027191162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43315985798835754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40796738862991333}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6357742547988892},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6298588514328003},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5885404348373413},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5561417937278748},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5539127588272095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5449388027191162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43315985798835754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40796738862991333}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02000-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02000-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02000-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c85dcad2aafd45db98d542a28d50ed98","is_oa":true,"landing_page_url":"https://doaj.org/article/c85dcad2aafd45db98d542a28d50ed98","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 9, Pp 1-16 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02000-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02000-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02000-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412066571.pdf","grobid_xml":"https://content.openalex.org/works/W4412066571.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W1976836279","https://openalex.org/W1988662502","https://openalex.org/W2074788634","https://openalex.org/W2121877182","https://openalex.org/W2191779130","https://openalex.org/W2202120056","https://openalex.org/W2533708563","https://openalex.org/W2919115771","https://openalex.org/W3035620162","https://openalex.org/W3080262031","https://openalex.org/W3134611008","https://openalex.org/W3168467966","https://openalex.org/W3206710901","https://openalex.org/W4206530644","https://openalex.org/W4210536454","https://openalex.org/W4214717370","https://openalex.org/W4312161569","https://openalex.org/W4319595367","https://openalex.org/W4323664393","https://openalex.org/W4366779313","https://openalex.org/W4380373744","https://openalex.org/W4383901217","https://openalex.org/W4386918931","https://openalex.org/W4388266999","https://openalex.org/W4390471979","https://openalex.org/W4391856421","https://openalex.org/W4393204597","https://openalex.org/W4402167868","https://openalex.org/W4403406891","https://openalex.org/W4406220600","https://openalex.org/W4406568176"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4391621807","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2377397762","https://openalex.org/W2793967660"],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"and":[2,17,39,47,74,107,118,132,157,172,257,266],"timely":[3],"detection":[4,149],"of":[5,32,42,100,125,150,160],"infant":[6,22,111,126,151],"needs":[7],"through":[8],"their":[9],"suggestive":[10],"cries":[11],"is":[12],"crucial":[13],"for":[14,144,255],"effective":[15],"intervention":[16],"improved":[18,115],"well-being.":[19],"However,":[20],"existing":[21],"cry":[23,37,127,192],"classification":[24,169],"methods":[25],"often":[26],"struggle":[27],"with":[28],"the":[29,67,98,101,158,180,209,227,252],"inherent":[30],"variability":[31],"cries,":[33,112],"long-term":[34],"dependencies":[35],"within":[36,89],"patterns,":[38],"a":[40,53,78,122,216,240],"lack":[41],"adaptability":[43],"to":[44,103,114,175,201,215,223,239,261],"background":[45],"noise":[46,248],"individual":[48],"differences.":[49],"This":[50,250],"paper":[51],"introduces":[52],"novel":[54],"\u201cAdaptive":[55],"Infant":[56],"Cry":[57,134],"Classification\u201d":[58],"model":[59,102,137],"that":[60,208],"addresses":[61],"these":[62,236],"limitations":[63],"by":[64,188],"dynamically":[65],"selecting":[66],"most":[68],"informative":[69],"features":[70,237],"from":[71,129,198],"acoustic,":[72],"spectral,":[73],"temporal":[75,106],"domains":[76],"using":[77],"multi-armed":[79],"bandit":[80],"(MAB)":[81],"approach.":[82],"The":[83],"adaptive":[84],"feature":[85,211],"selection":[86,212],"strategy,":[87],"integrated":[88],"an":[90,231],"Attentive":[91],"Convolutional":[92],"Recurrent":[93],"Neural":[94],"Network":[95],"architecture,":[96],"enhances":[97],"ability":[99],"capture":[104],"both":[105],"spectral":[108],"patterns":[109],"in":[110,168,220,244],"leading":[113],"accuracy,":[116],"precision,":[117],"robustness.":[119],"Evaluated":[120],"on":[121],"comprehensive":[123],"dataset":[124],"recordings":[128],"Baby":[130],"Chilanto":[131],"Donate":[133],"databases,":[135],"our":[136],"achieves":[138],"state-of-the-art":[139],"performance,":[140],"demonstrating":[141],"its":[142],"potential":[143],"real-world":[145],"applications,":[146],"including":[147],"early":[148],"distress,":[152],"infants\u2019":[153],"personalized":[154],"care":[155],"plans,":[156],"development":[159],"new":[161],"interventions.":[162],"Experimental":[163],"results":[164],"demonstrated":[165],"significant":[166],"improvements":[167],"accuracy":[170,221],"(97%)":[171],"robustness":[173],"compared":[174,222],"conventional":[176],"classical":[177],"methods.":[178],"Notably,":[179],"proposed":[181],"framework":[182],"surpasses":[183],"standard":[184],"baseline":[185],"CNN\u2013RNN-based":[186],"classifiers":[187],"5\u20137%":[189],"across":[190],"multiple":[191],"types,":[193],"reducing":[194],"overall":[195],"error":[196],"rates":[197],"around":[199],"12%":[200],"just":[202],"under":[203,246],"5%.":[204],"Ablation":[205],"studies":[206],"reveal":[207],"MAB-based":[210],"contributes":[213],"up":[214],"10%":[217,241],"relative":[218],"increase":[219],"static":[224],"methods,":[225],"while":[226],"attention":[228],"components":[229],"provide":[230],"additional":[232],"5%":[233],"improvement.":[234],"Combined,":[235],"lead":[238],"absolute":[242],"gain":[243],"F1-score":[245],"high":[247],"conditions.":[249],"shows":[251],"model\u2019s":[253],"suitability":[254],"clinical":[256],"home-based":[258],"environments,":[259],"aiming":[260],"improve":[262],"artificial":[263],"parenting":[264],"anytime":[265],"anywhere.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
