| Banking assets and liability management S Riyadi Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia, 2003 | 1715 | 2003 |
| Multivariate cnn-lstm model for multiple parallel financial time-series prediction H Widiputra, A Mailangkay, E Gautama Complexity 2021, 1-14, 2021 | 43 | 2021 |
| Multiple time-series prediction through multiple time-series relationships profiling and clustered recurring trends H Widiputra, R Pears, N Kasabov Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011 | 37 | 2011 |
| Orientasi Kebahagiaan Siswa SMA, Tinjauan Psikologiindigenous pada Siswa Laki-laki dan Perempuan P Oetami, KW Yuniarti Universitas Ahmad Dahlan, 2011 | 36 | 2011 |
| A novel evolving clustering algorithm with polynomial regression for chaotic time-series prediction H Widiputra, H Kho, Lukas, R Pears, N Kasabov Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009 | 19 | 2009 |
| GA-optimized multivariate CNN-LSTM model for predicting multi-channel mobility in the COVID-19 pandemic H Widiputra Emerging Science Journal 5 (5), 619-635, 2021 | 15 | 2021 |
| Implementing Open Source Platform for Education Quality Enhancement in Primary Education: Indonesia Experience. MW Kisworo Turkish Online Journal of Educational Technology-TOJET 15 (3), 80-86, 2016 | 15 | 2016 |
| Evolving integrated multi-model framework for on line multiple time series prediction R Pears, H Widiputra, N Kasabov Evolving Systems 4, 99-117, 2013 | 15 | 2013 |
| An extended evolving spiking neural network model for spatio-temporal pattern classification HNA Hamed, N Kasabov, SM Shamsuddin, H Widiputra, K Dhoble The 2011 International Joint Conference on Neural Networks, 2653-2656, 2011 | 15 | 2011 |
| Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets H Widiputra, R Pears, A Serguieva, N Kasabov Intelligent Systems in Accounting, Finance & Management: International …, 2009 | 15 | 2009 |
| Dynamic learning of multiple time series in a nonstationary environment H Widiputra, R Pears, N Kasabov Learning in Non-Stationary Environments: Methods and Applications, 303-347, 2012 | 14 | 2012 |
| Lukas, and HD Widiputra. Clustering base intrusion detection for network profiling using k-means, ecm and k-nearest neighbor algorithms I Chairunnisa Konferensi Nasional Sistem dan Informatika, 2009 | 14 | 2009 |
| Dynamic interaction networks versus local trend models for multiple time-series prediction H Widiputra, R Pears, N Kasabov Cybernetics and Systems: An International Journal 42 (2), 100-123, 2011 | 12 | 2011 |
| Pengaruh Employee Engagement dan Workplace Well-being terhadap Turnover Intention (Studi pada Kantor Akuntan Publik ABC & Rekan) S Sadana, EA Vany Fakultas Ekonomi, Jurnal Akuntansi dan Bisnis, Jakarta: Fakultas Ekonomi dan …, 2014 | 8 | 2014 |
| Generating Indonesian slang lexicons from twitter W Muliady, H Widiputra 2012 2nd International Conference on Uncertainty Reasoning and Knowledge …, 2012 | 8 | 2012 |
| Optimized Sampling with Clustering Approach for Large Intrusion Detection Data N Yasmin, AS Nugroho, H Widiputra International Conference on Rural Information and Communication Technology …, 2009 | 8 | 2009 |
| Integrated multi-model framework for adaptive multiple time-series analysis and modelling H Widiputra Auckland University of Technology, 2011 | 6 | 2011 |
| Personalised modelling for multiple time-series data prediction: a preliminary investigation in asia pacific stock market indexes movement H Widiputra, R Pears, N Kasabov Advances in Neuro-Information Processing: 15th International Conference …, 2009 | 5 | 2009 |
| Lukas.(2009) L Lukmanto, H Widiputra Dynamic interaction network to model the interactive patterns of …, 0 | 4 | |
| Localized trend model for stock market sectoral indexes movement profiling H Widiputra Algorithmic Finance 8 (1-2), 27-46, 2019 | 3 | 2019 |
Stefanus MS SadanaPerbanas InstituteEmail yang diverifikasi di perbanas.id
