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Fujita H; Hamido Fujita; Fujita Hamido
Fujita H; Hamido Fujita; Fujita Hamido
Malaysia-Japan International Institiute of Technoloy (UTM), Editor-in-Chief: Applied Intelligence,
Verified email at acm.org - Homepage
Title
Cited by
Cited by
Year
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
9852017
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
7932017
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems
H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’m, S Mirjalili, H Fujita
Knowledge-Based Systems 154, 43-67, 2018
6352018
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
5842015
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
5232015
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
5032018
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
4872020
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
4862018
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
4232017
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
4062018
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
3782017
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
3692018
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
3642016
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
3452018
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
3302017
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
3242019
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
3142019
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
3142018
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
3132020
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
3082018
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