Fujita H; Hamido Fujita; Fujita Hamido

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaDirección de correo verificada de usq.edu.au
Enrique Herrera-ViedmaProfessor of Computer Science and Artificial Intelligence, Spain, University of GranadaDirección de correo verificada de decsai.ugr.es
jen hong, tanHighly Cited Researcher in Computer Science, Singapore General HospitalDirección de correo verificada de sgh.com.sg
Francisco ChiclanaProfessor of Computational Intelligence and Decision Making, De Montfort University, UKDirección de correo verificada de dmu.ac.uk
Shu Lih OhAI Scientist, Cogninet Australia Pty LtdDirección de correo verificada de cogninet.ai
Vidya K. Sudarshan, PhDLecturer, Nanyang Technological University, NTU, SingaporeDirección de correo verificada de ntu.edu.sg
Muhammad AdamResearch Associate at National Heart Research Institute.Dirección de correo verificada de nhcs.com.sg
Yuki HagiwaraHighly Cited Researcher in Cross-Field, Fraunhofer IKSDirección de correo verificada de iks.fraunhofer.de
Kuang Chua ChuaNgee Ann Polytechnic, SingaporeDirección de correo verificada de np.edu.sg
Joel Koh En WeiAI Scientist, Cogninet Australia Pty LtdDirección de correo verificada de cogninet.ai
yu-chien KoChung Hua UniversityDirección de correo verificada de chu.edu.tw
Raghavendra UAssociate Professor, Manipal Institute of TechnologyDirección de correo verificada de manipal.edu
Zeshui Xu (徐泽水)Member of AE,EASA,IASCYS; DFIETI,FIEEE,FIFSA,FIET,FRSA,FORS,FBCS,FAAIA... Sichuan UniversityDirección de correo verificada de scu.edu.cn
Jenny CarterHuddersfield UniversityDirección de correo verificada de hud.ac.uk
Roberto RevetriaProfessore Ordinario di Impianti Industriali e Meccanici, Università degli Studi di GenovaDirección de correo verificada de unige.it
Sergei GorlatchUniversity of Muenster, GermanyDirección de correo verificada de wwu.de
Claudio De LazzariNational Reseach Council (CNR)Dirección de correo verificada de cnr.it

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Fujita H; Hamido Fujita; Fujita Hamido

Malaysia-Japan International Institiute of Technoloy (UTM), Editor-in-Chief: Applied Intelligence,

Dirección de correo verificada de acm.org - Página principal

Machine Learning Knowledge-Based Systems Human Computer Interaction


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam Information sciences 415, 190-198, 2017	1015	2017
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam Information sciences 405, 81-90, 2017	826	2017
25 years at knowledge-based systems: a bibliometric analysis MJ Cobo, MA Martínez, M Gutiérrez-Salcedo, H Fujita, E Herrera-Viedma Knowledge-based systems 80, 3-13, 2015	686	2015
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems H Faris, MM Mafarja, AA Heidari, I Aljarah, AM Al-Zoubi, S Mirjalili, ... Knowledge-Based Systems 154, 43-67, 2018	660	2018
Application of entropies for automated diagnosis of epilepsy using EEG signals: A review UR Acharya, H Fujita, VK Sudarshan, S Bhat, JEW Koh Knowledge-based systems 88, 85-96, 2015	550	2015
Consensus reaching in social network group decision making: Research paradigms and challenges Y Dong, Q Zha, H Zhang, G Kou, H Fujita, F Chiclana, E Herrera-Viedma Knowledge-Based Systems 162, 3-13, 2018	527	2018
Deep learning fault diagnosis method based on global optimization GAN for unbalanced data F Zhou, S Yang, H Fujita, D Chen, C Wen Knowledge-Based Systems 187, 104837, 2020	520	2020
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images U Raghavendra, H Fujita, SV Bhandary, A Gudigar, JH Tan, UR Acharya Information Sciences 441, 41-49, 2018	487	2018
A visual interaction consensus model for social network group decision making with trust propagation J Wu, F Chiclana, H Fujita, E Herrera-Viedma Knowledge-Based Systems 122, 39-50, 2017	444	2017
Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates J Sun, J Lang, H Fujita, H Li Information Sciences 425, 76-91, 2018	419	2018
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, M Adam, JH Tan, CK Chua Knowledge-Based Systems 132, 62-71, 2017	398	2017
Emergency decision making for natural disasters: An overview L Zhou, X Wu, Z Xu, H Fujita International journal of disaster risk reduction 27, 567-576, 2018	393	2018
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust J Wu, L Dai, F Chiclana, H Fujita, E Herrera-Viedma Information Fusion 41, 232-242, 2018	371	2018
Towards felicitous decision making: An overview on challenges and trends of Big Data H Wang, Z Xu, H Fujita, S Liu Information Sciences 367, 747-765, 2016	370	2016
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam, RS Tan Applied Intelligence 49, 16-27, 2019	345	2019
A study of graph-based system for multi-view clustering H Wang, Y Yang, B Liu, H Fujita Knowledge-Based Systems 163, 1009-1019, 2019	342	2019
Fuzzy group decision making with incomplete information guided by social influence N Capuano, F Chiclana, H Fujita, E Herrera-Viedma, V Loia IEEE Transactions on Fuzzy Systems 26 (3), 1704-1718, 2017	340	2017
Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting J Sun, H Li, H Fujita, B Fu, W Ai Information Fusion 54, 128-144, 2020	335	2020
Automated detection of atrial fibrillation using long short-term memory network with RR interval signals O Faust, A Shenfield, M Kareem, TR San, H Fujita, UR Acharya Computers in biology and medicine 102, 327-335, 2018	324	2018
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018	324	2018

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