追蹤
Elly Matul Imah
Elly Matul Imah
Data Science Department, Universitas Negeri Surabaya
在 unesa.ac.id 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Heart beat classification using wavelet feature based on neural network
W Jatmiko, WP Nulad, IE Matul, IMA Setiawan, P Mursanto
WSEAS Transactions on Systems 10 (1), 17-26, 2011
412011
Arrhytmia classification using fuzzy-neuro generalized learning vector quantization
IMA Setiawan, EM Imah, W Jatmiko
2011 International Conference on Advanced Computer Science and Information …, 2011
332011
A comparative study of machine learning algorithms for epileptic seizure classification on eeg signals
EM Imah, A Widodo
2017 International Conference on Advanced Computer Science and Information …, 2017
282017
Integrating data selection and extreme learning machine for imbalanced data
U Mahdiyah, MI Irawan, EM Imah
Procedia Computer Science 59, 221-229, 2015
252015
Developing smart telehealth system in Indonesia: Progress and challenge
W Jatmiko, MA Ma'Sum, SM Isa, EM Imah, R Rahmatullah, B Wiweko
2015 International Conference on Advanced Computer Science and Information …, 2015
242015
Students' Cognitive Processes in Solving Problem Related to the Concept of Area Conservation.
R Ekawati, AW Kohar, EM Imah, SM Amin, S Fiangga
Journal on Mathematics Education 10 (1), 21-36, 2019
232019
A comparative study on Daubechies Wavelet Transformation, Kernel PCA and PCA as feature extractors for arrhythmia detection using SVM
EM Imah, F Al Afif, MI Fanany, W Jatmiko, T Basaruddin
TENCON 2011-2011 IEEE Region 10 Conference, 5-9, 2011
232011
Classification of Emotional State Based on EEG Signal using AMGLVQ
EM Imah, E Rahmawati
Procedia Computer Science 157, 552-559, 2019
212019
Enhanced tele ECG system using hadoop framework to deal with big data processing
MA Ma'Sum, W Jatmiko, H Suhartanto
2016 international workshop on big data and information security (IWBIS …, 2016
182016
Study comparison backpropogation, support vector machine, and extreme learning machine for bioinformatics data
U Mahdiyah, MI Irawan, EM Imah
Journal of Computer Science and Information 8 (1), 53-59, 2015
162015
Study comparison of svm-, k-nn-and backpropagation-based classifier for image retrieval
M Athoillah, MI Irawan, EM Imah
Jurnal Ilmu Komputer dan Informasi 8 (1), 11-18, 2015
162015
Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ) as new algorithm with integrating feature extraction and classification for Arrhythmia heartbeats …
EM Imah, W Jatmiko, T Basaruddin
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
152012
Support vector machine with multiple kernel learning for image retrieval
M Athoillah, MI Irawan, EM Imah
2015 International Conference on Information & Communication Technology and …, 2015
132015
Violence Classification Using Support Vector Machine and Deep Transfer Learning Feature Extraction
Karisma, EM Imah, A Wintarti
2021 International Seminar on Intelligent Technology and Its Applications …, 2021
112021
Integrating data selection and extreme learning machine to predict protein-ligand binding site
U Mahdiyah, EM Imah, MI Irawan
Contemp Eng Sci 9, 791-7, 2016
112016
Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification
EM Imah, W Jatmiko, T Basaruddin
The International Journal on Smart Sensing and Intelligent Systems 6, 2013
112013
Implementation vehicle classification on Distributed Traffic Light Control System neural network based
B Zaman, W Jatmiko, A Wibowo, EM Imah
2011 International Conference on Advanced Computer Science and Information …, 2011
102011
Plant leaf recognition using competitive based learning algorithm
EM Imah, YS Rahayu, A Wintarti
IOP Conference Series: Materials Science and Engineering 288 (1), 012058, 2018
92018
Automatic Arrhythmias detection using various types of artificial neural network based learning vector quantization (LVQ)
D Fitria, MA Ma'sum, EM Imah, AA Gunawan
Jurnal Ilmu Komputer dan Informasi 7 (2), 90-100, 2014
92014
Early detection and monitoring system of heart disease based on electrocardiogram signal
MA Ma'sum, EM Imah, AA Gunawan
Jurnal Ilmu Komputer dan Informasi 7 (1), 1-10, 2014
92014
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