| Survival Support Vector Machines: A Simulation Study and Its Health-Related Application (in Supervised and Unsupervised Learning for Data Science) DD Prastyo, HA Khoiri, SW Purnami, S Suhartono, SF Fam, N Suhermi Supervised and Unsupervised Learning for Data Science, 85-100, 2020 | 358* | 2020 |
| Support Vector Machines with Evolutionary Model Selection for Default Prediction (in The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics) W Haerdle, D Prastyo, C Hafner http://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199857944.001.0001 …, 2014 | 87* | 2014 |
| Roll motion prediction using a hybrid deep learning and ARIMA model N Suhermi, DD Prastyo, B Ali Procedia computer science 144, 251-258, 2018 | 80 | 2018 |
| Robust Adaptive Multivariate Hotelling's T2 Control Chart based on Kernel Density Estimation for Intrusion Detection System M Ahsan, M Mashuri, MH Lee, H Kuswanto, DD Prastyo Expert Systems with Applications 145 (1 May 2020), 113105, 2020 | 49 | 2020 |
| Two levels ARIMAX and regression models for forecasting time series data with calendar variation effects Suhartono, MH Lee, DD Prastyo AIP Conference Proceedings 1691 (1), 050026, 2015 | 46 | 2015 |
| Bioremediation of micropollutants using living and non-living algae-Current perspectives and challenges A Ratnasari, A Syafiuddin, NS Zaidi, ABH Kueh, T Hadibarata, DD Prastyo, ... Environmental Pollution 292, 118474, 2022 | 43 | 2022 |
| Multivariate control chart based on PCA mix for variable and attribute quality characteristics M Ahsan, M Mashuri, H Kuswanto, DD Prastyo, H Khusna Production & Manufacturing Research 6 (1), 364-384, 2018 | 42 | 2018 |
| Intrusion detection system using multivariate control chart Hotelling’s T2 based on PCA M Ahsan, M Mashuri, H Kuswanto, DD Prastyo Int. J. Adv. Sci. Eng. Inf. Technol 8 (5), 1905-1911, 2018 | 41 | 2018 |
| Bootstrap-based maximum multivariate CUSUM control chart H Khusna, M Mashuri, M Ahsan, S Suhartono, DD Prastyo Quality Technology & Quantitative Management 17 (1), 52-74, 2020 | 40 | 2020 |
| Advances in pretreatment technology for handling the palm oil mill effluent: Challenges and prospects A Ratnasari, A Syafiuddin, R Boopathy, S Malik, MA Mehmood, R Amalia, ... Bioresource Technology 344, 126239, 2022 | 33 | 2022 |
| Shifting from conventional to organic filter media in wastewater biofiltration treatment: a review ZZ Loh, NS Zaidi, A Syafiuddin, EL Yong, R Boopathy, AB Hong Kueh, ... Applied Sciences 11 (18), 8650, 2021 | 32 | 2021 |
| Embedded Predictor Selection for Default Risk Calculation: A Southeast Asian Industry Study (in Handbook of Asian finance: Financial markets and sovereign wealth funds) WK Härdle, DD Prastyo http://www.sciencedirect.com/science/article/pii/B978012800982600007X 1, 131–148, 2014 | 32* | 2014 |
| VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting DD Prastyo, FS Nabila, MH Lee, N Suhermi, SF Fam Communications in Computer and Information Science 937, 46-57, 2019 | 28 | 2019 |
| Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR models for forecasting oil production S Suhartono, DD Prastyo, H Kuswanto, MH Lee Matematika, 103-111, 2018 | 28 | 2018 |
| Lean manufacturing and overall equipment efficiency (OEE) in paper manufacturing and paper products industry SF Fam, N Ismail, H Yanto, DD Prastyo, BP Lau Journal of Advanced Manufacturing Technology (JAMT) 12 (1 (2)), 461-474, 2018 | 27 | 2018 |
| Outlier detection using PCA mix based T2 control chart for continuous and categorical data M Ahsan, M Mashuri, H Kuswanto, DD Prastyo, H Khusna Communications in Statistics-Simulation and Computation 50 (5), 1496-1523, 2021 | 25 | 2021 |
| PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection M Mashuri, M Ahsan, MH Lee, DD Prastyo Computers & Industrial Engineering 158, 107447, 2021 | 23 | 2021 |
| Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes H Khusna, M Mashuri, Suhartono, DD Prastyo, MH Lee, M Ahsan Production & Manufacturing Research 7 (1), 364-394, 2019 | 20 | 2019 |
| Multivariate Gamma Regression: Parameter Estimation, Hypothesis Testing, and Its Application A Rahayu, P Purhadi, S Sutikno, DD Prastyo Symmetry 12 (5), 813, 2020 | 19 | 2020 |
| Markov Chain Monte Carlo–Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty N Iriawan, S Astutik, DD Prastyo International Journal of Computer Science and Network Security 10 (12), 211-216, 2010 | 18 | 2010 |
SuhartonoDepartment of Statistics, Institut Teknologi Sepuluh Nopember在 statistika.its.ac.id 的电子邮件经过验证
