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Dedy Dwi Prastyo
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2020 – today
- 2023
- [c12]Mety Agustini, Kartika Fithriasari, Dedy Dwi Prastyo:
The Impact of Clustering-Based Sequential Multivariate Outliers Detection in Handling Missing Values. DaSET 2023: 221-235 - [c11]Christopher Andreas, Achmad Choiruddin, Dedy Dwi Prastyo:
Modeling Earthquake Catalog in Sumatra by Space-Time Epidemic-Type Aftershock Sequences Model: Combining Davidon-Fletcher-Powell and Stochastic Declustering Algorithms. DaSET 2023: 335-351 - [c10]Muhammad Adlansyah Muda, Dedy Dwi Prastyo, Muhammad Sjahid Akbar:
Clustering Stock Prices of Industrial and Consumer Sector Companies in Indonesia Using Fuzzy C-Means and Fuzzy C-Medoids Involving ACF and PACF. SCDS 2023: 275-290 - 2022
- [j9]Andreas Riyanto, Heri Kuswanto, Dedy Dwi Prastyo:
Mutual Information-Based Variable Selection on Latent Class Cluster Analysis. Symmetry 14(5): 908 (2022) - [c9]Supriadi Hia, Heri Kuswanto, Dedy Dwi Prastyo:
Robustness of Support Vector Regression and Random Forest Models: A Simulation Study. DaSET 2022: 465-479 - 2021
- [j8]Rumaisa Kruba, Muhammad Mashuri, Dedy Dwi Prastyo:
Max-Half-Mchart: A Simultaneous Control Chart Using a Half-Normal Distribution for Subgroup Observations. IEEE Access 9: 105369-105381 (2021) - [j7]Muhammad Mashuri, Muhammad Ahsan, Muhammad Hisyam Lee, Dedy Dwi Prastyo, Wibawati:
PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection. Comput. Ind. Eng. 158: 107447 (2021) - [j6]Muhammad Ahsan, Muhammad Mashuri, Heri Kuswanto, Dedy Dwi Prastyo, Hidayatul Khusna:
Outlier detection using PCA mix based T2 control chart for continuous and categorical data. Commun. Stat. Simul. Comput. 50(5): 1496-1523 (2021) - [j5]Dyah P. Rahmawati, I Nyoman Budiantara, Dedy Dwi Prastyo, Made A. D. Octavanny:
Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression. Int. J. Math. Math. Sci. 2021: 6611084:1-6611084:14 (2021) - [j4]Rumaisa Kruba, Muhammad Mashuri, Dedy Dwi Prastyo:
The effectiveness of Max-half-Mchart over Max-Mchart in simultaneously monitoring process mean and variability of individual observations. Qual. Reliab. Eng. Int. 37(6): 2334-2347 (2021) - [c8]Selvi Mardalena, Purhadi, Jerry Dwi Trijoyo Purnomo, Dedy Dwi Prastyo:
A Modified Inverse Gaussian Poisson Regression with an Exposure Variable to Model Infant Mortality. SCDS 2021: 286-300 - [c7]Hendri Prabowo, Dedy Dwi Prastyo, Setiawan:
Hybrid of Time Series Regression, Multivariate Generalized Space-Time Autoregressive, and Machine Learning for Forecasting Air Pollution. SCDS 2021: 351-365 - 2020
- [j3]Muhammad Ahsan, Muhammad Mashuri, Muhammad Hisyam Lee, Heri Kuswanto, Dedy Dwi Prastyo:
Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system. Expert Syst. Appl. 145: 113105 (2020) - [j2]Anita Rahayu, Purhadi, Sutikno, Dedy Dwi Prastyo:
Multivariate Gamma Regression: Parameter Estimation, Hypothesis Testing, and Its Application. Symmetry 12(5): 813 (2020) - [j1]Selvi Mardalena, Purhadi, Jerry Dwi Trijoyo Purnomo, Dedy Dwi Prastyo:
Parameter Estimation and Hypothesis Testing of Multivariate Poisson Inverse Gaussian Regression. Symmetry 12(10): 1738 (2020)
2010 – 2019
- 2019
- [c6]Suhartono, Hendri Prabowo, Dedy Dwi Prastyo, Muhammad Hisyam Lee:
New Hybrid Statistical Method and Machine Learning for PM10 Prediction. SCDS 2019: 142-155 - 2018
- [c5]Novri Suhermi, Suhartono, Dedy Dwi Prastyo, Baharuddin Ali:
Roll motion prediction using a hybrid deep learning and ARIMA model. INNS Conference on Big Data 2018: 251-258 - [c4]Suhartono, Novri Suhermi, Dedy Dwi Prastyo:
Design of Experiment to Optimize the Architecture of Deep Learning for Nonlinear Time Series Forecasting. INNS Conference on Big Data 2018: 269-276 - [c3]Dedy Dwi Prastyo, Halwa Annisa Khoiri, Santi Wulan Purnami, Suhartono, Soo-Fen Fam:
Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data. SCDS 2018: 34-45 - [c2]Dedy Dwi Prastyo, Feby Sandi Nabila, Suhartono, Muhammad Hisyam Lee, Novri Suhermi, Soo-Fen Fam:
VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting. SCDS 2018: 46-57 - 2017
- [c1]Suhartono, Prilyandari Dina Saputri, Farah Fajrina Amalia, Dedy Dwi Prastyo, Brodjol Sutijo Suprih Ulama:
Model Selection in Feedforward Neural Networks for Forecasting Inflow and Outflow in Indonesia. SCDS 2017: 95-105
Coauthor Index
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last updated on 2024-05-08 01:03 CEST by the dblp team
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