Learning in non-stationary environments: methods and applications M Sayed-Mouchaweh, E Lughofer Springer Science & Business Media, 2012 | 193 | 2012 |
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 |
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, 114-121, 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 |
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 |
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 |
Buku Ajar Data Mining Z Setiawan, M Fajar, AM Priyatno, AYP Putri, M Aryuni, S Yuliyanti, ... PT. Sonpedia Publishing Indonesia, 2023 | 7* | 2023 |
Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings JZ Huang, L Cao, J Srivastava Springer Science & Business Media, 2011 | 7 | 2011 |
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 |
Localized trend model for stock market sectoral indexes movement profiling H Widiputra Algorithmic Finance 8 (1-2), 27-46, 2019 | 3 | 2019 |
Nearest neighbour approach with non-parametric regression analysis for multiple time-series modelling and predictions H Widiputra International Journal of Business Intelligence and Data Mining 10 (3), 253-279, 2015 | 3 | 2015 |
Inter-transaction association rule mining in the Indonesia stock exchange market H Widiputra, B Pahlevi 2012 2nd International Conference on Uncertainty Reasoning and Knowledge …, 2012 | 3 | 2012 |