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Appl., 19, 1165, 10.1007\u002Fs00521-010-0362-z\nZhang, 2004, Discovering golden nuggets: Data mining in financial application, IEEE Trans. Syst. Man Cybern. C, 34, 513, 10.1109\u002FTSMCC.2004.829279\nMochón, 2007, Soft computing techniques applied to finance, Appl. Intell., 29, 111, 10.1007\u002Fs10489-007-0051-5\nMullainathan, 2017, Machine learning: An applied econometric approach, J. Econ. Perspect., 31, 87, 10.1257\u002Fjep.31.2.87\n2002\nTapia, 2007, Applications of multi-objective evolutionary algorithms in economics and finance: A survey\nPonsich, 2013, A survey on multiobjective evolutionary algorithms for the solution of the portfolio optimization problem and other finance and economics applications, IEEE Trans. Evol. Comput., 17, 321, 10.1109\u002FTEVC.2012.2196800\nAguilar-Rivera, 2015, Genetic algorithms and Darwinian approaches in financial applications: a survey, Expert Syst. Appl., 42, 7684, 10.1016\u002Fj.eswa.2015.06.001\nRada, 2008, Expert systems and evolutionary computing for financial investing: A review, Expert Syst. Appl., 34, 2232, 10.1016\u002Fj.eswa.2007.05.012\nLi, 2010, Applications of artificial neural networks in financial economics: A survey\nTkáč, 2016, Artificial neural networks in business: Two decades of research, Appl. Soft Comput., 38, 788, 10.1016\u002Fj.asoc.2015.09.040\nElmsili, 2018, Artificial neural networks applications in economics and management research: An exploratory literature review, 1\nMittermayer, 2006\nMitra, 2012, Applications of news analytics in finance: A review, 1\nNassirtoussi, 2014, Text mining for market prediction: A systematic review, Expert Syst. Appl., 41, 7653, 10.1016\u002Fj.eswa.2014.06.009\nKearney, 2014, Textual sentiment in finance: A survey of methods and models, Int. Rev. Financ. 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Signal Process., 144, 10.1016\u002Fj.ymssp.2020.106899\nYu, 2021, Multiscale attentional residual neural network framework for remaining useful life prediction of bearings, Measurement, 10.1016\u002Fj.measurement.2021.109310\nJakob, 2020, Hierarchical temporal memory and recurrent neural networks for time series prediction: An empirical validation and reduction to multilayer perceptrons, Neurocomputing, 396, 291, 10.1016\u002Fj.neucom.2018.09.098\nQin, 2020, Prior-knowledge and attention based meta-learning for few-shot learning, Knowl.-Based Syst., 213\nTian, 2022, Consistent meta-regularization for better meta-knowledge in few-shot learning, IEEE Trans. Neural Netw. Learn. Syst., 33, 7277, 10.1109\u002FTNNLS.2021.3084733\nShi, 2020, A reinforced k -nearest neighbors method with application to chatter identification in high-speed milling, IEEE Trans. Ind. Electron., 67, 10844, 10.1109\u002FTIE.2019.2962465\nYuan, 2019, A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning, Knowl.-Based Syst., 175, 107, 10.1016\u002Fj.knosys.2019.03.018\nShuai, 2020, Recruitment-imitation mechanism for evolutionary reinforcement learning, Inform. Sci., 553, 172\nPatel, 2021, Grove’s algorithm in natural settings, Quantum Inf. Comput., 21, 945\nMoghadam, 2022, Online optimal adaptive control of partially uncertain nonlinear discrete-time systems using multilayer neural networks, IEEE Trans. Neural Netw. Learn. Syst., 33, 4840, 10.1109\u002FTNNLS.2021.3061414\nKou, 2020, The laser-induced damage change detection for optical elements using siamese convolutional neural networks, Appl. Soft Comput., 87, 10.1016\u002Fj.asoc.2019.106015\nLi, 2020, Anomaly detection of time series with smoothness-inducing sequential variational auto-encoder, IEEE Trans. Neural Netw. Learn. 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Sci., 131, 47, 10.1016\u002FS0020-0255(00)00093-1\nTracey, 1998, An automated framework for structural test-data generation, 285",{"EN":779},"Comparisons of metaheuristic algorithms and fitness functions on software test data generation",{"VOID":781},"10.1016\u002Fj.asoc.2016.09.045","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS156849461630504X",[784,799],{"id":785,"sortIndex":19,"researcher":18,"roles":786,"affiliations":787,"properties":796},"89e607c7-a518-4eed-a92c-3522682b32eb",[116],[788],{"id":18,"sortIndex":19,"affiliation":789,"properties":18},{"id":790,"createTime":791,"updateTime":791,"relativeEntities":792,"slug":18,"properties":793,"entityType":39,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"54638870-e671-4d6d-bc0e-7a7c35d0b9aa","2024-02-06T04:54:19.017+00:00",[],{"title":794},{"VI":795},"Erciyes University, The Department of Computer Engineering, 38039 Melikgazi, Kayseri, Turkey",{"title":797},{"VI":798},"Omur Sahin",{"id":800,"sortIndex":144,"researcher":18,"roles":801,"affiliations":802,"properties":808},"1a3fbe5c-6da2-4ce8-8546-61455a07bee1",[116],[803],{"id":18,"sortIndex":19,"affiliation":804,"properties":18},{"id":790,"createTime":791,"updateTime":791,"relativeEntities":805,"slug":18,"properties":806,"entityType":39,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":807},{"VI":795},{"title":809},{"VI":810},"Bahriye Akay",{"url":782,"publisher":812,"properties":834},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":813,"slug":10,"properties":814,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":817,"manageAffiliations":818,"indexDatabases":819,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":815,"title":816},{"VOID":13},{"EN":15},[],[],[820,827],{"id":54,"indexDatabase":821,"url":69,"indexYears":18,"academicFieldIds":826,"indexDatabaseRanking":18},{"id":56,"createTime":57,"updateTime":58,"relativeEntities":822,"label":823,"description":824,"key":65,"publicationTags":825,"standard":18},[],{"EN":61,"VI":61},{"VI":63,"EN":64},[67,68],[71],{"id":73,"indexDatabase":828,"url":86,"indexYears":87,"academicFieldIds":833,"indexDatabaseRanking":90},{"id":75,"createTime":76,"updateTime":77,"relativeEntities":829,"label":830,"description":831,"key":83,"publicationTags":832,"standard":18},[],{"EN":80,"VI":80},{"EN":80,"VI":82},[85],[89],{"volume":835,"pages":836},{"VOID":764},{"VOID":837},"1202-1214",{"id":839,"createTime":840,"updateTime":841,"relativeEntities":842,"slug":843,"properties":844,"entityType":108,"verifyStatus":109,"verifyTime":851,"verifyNote":110,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":852,"fullTextUrl":18,"authors":853,"publicationType":155,"publisherRelationship":893,"citationCount":18,"citationInfo":18,"publishDate":921,"publishYear":491,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":186},"c148ef7e-9c96-47bc-9d5e-55eea7dec774","2024-01-29T04:40:46.774+00:00","2025-01-17T23:56:45.715+00:00",[],"Recognition-of-human-emotion-transition-from-video-sequence-using-triangulation-induced-various-centre-pairs-distance-signatures",{"references":845,"title":847,"doi":849},{"VOID":846},"López-Gil, 2021, Photogram classification-based emotion recognition, IEEE Access, 9, 136974, 10.1109\u002FACCESS.2021.3117253\nCohen, 2002, Facial expression recognition from video sequences, Vol. 2, 121\nMehrabian, 2008, Communication without words, Commun. 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