| Clustering stationary and non-stationary time series based on autocorrelation distance of hierarchical and k-means algorithms MAA Riyadi, DS Pratiwi, AR Irawan, K Fithriasari International Journal of Advances in Intelligent Informatics 3 (3), 154-160, 2017 | 21 | 2017 |
| Data mining peramalan konsumsi listrik dengan pendekatan cluster time series sebagai preprocessing MAA Riyadi, K Fithriasari, DA Widodo Jurnal Sains dan Seni ITS 5 (1), D121-D126, 2016 | 14 | 2016 |
| GSTAR-SUR Modeling With Calendar Variations And Intervention To Forecast Outflow Of Currencies In Java Indonesia MS Akbar, BN Ruchjana, MAA Riyadi Journal of Physics: Conference Series 974 (1), 012060, 2018 | 5 | 2018 |
| How svm can compensate logit based response label with various characteristics in predictor? A simulation study MAA Riyadi, DD Prastyo, SW Purnami 2018 10th International Conference on Information Technology and Electrical …, 2018 | 1 | 2018 |
| Analisis Ensemble Support Vector Machine dan Survival Support Vector Machine pada Data Nasabah Gadai di Perusahaan Financial Technology-X MAA Riyadi Institut Teknologi Sepuluh Nopember, 2018 | | 2018 |
| Simulation Study Multistage Clustering for Classify Stationary, Trend, and Seasonal Time Series Data Based on Autocorrelation Distance with Hierarchical Algorithm KF Mohammad Alfan Alfian Riyadi, Aldho Riski Irawan, Dian Sukma Pratiwi Proceedings of The ISI Regional Statistics Conference 2017 (ISI RSC 2017), 970, 2017 | | 2017 |
