| A rainfall forecasting method using machine learning models and its application to the Fukuoka city case SM Sumi, MF Zaman, H Hirose International Journal of Applied Mathematics and Computer Science 22 (4 …, 2012 | 121 | 2012 |
| Multilevel pattern mining architecture for automatic network monitoring in heterogeneous wireless communication networks Z Qu, J Keeney, S Robitzsch, F Zaman, X Wang China communications 13 (7), 108-116, 2016 | 103 | 2016 |
| Effect of subsampling rate on subbagging and related ensembles of stable classifiers F Zaman, H Hirose Pattern Recognition and Machine Intelligence: Third International Conference …, 2009 | 41 | 2009 |
| Classification performance of bagging and boosting type ensemble methods with small training sets MF Zaman, H Hirose New Generation Computing 29, 277-292, 2011 | 34 | 2011 |
| Comparison of artificially intelligent methods in short term rainfall forecast SS Monira, ZM Faisal, H Hirose 2010 13th International Conference on Computer and Information Technology …, 2010 | 30 | 2010 |
| A recommender system architecture for predictive telecom network management F Zaman, G Hogan, S Van Der Meer, J Keeney, S Robitzsch, GM Muntean IEEE Communications Magazine 53 (1), 286-293, 2015 | 28 | 2015 |
| Comparison of GARCH, neural network and support vector machine in financial time series prediction A Hossain, F Zaman, M Nasser, MM Islam Pattern Recognition and Machine Intelligence: Third International Conference …, 2009 | 25 | 2009 |
| A heuristic correlation algorithm for data reduction through noise detection in stream-based communication management systems F Zaman, S Robitzsch, Z Wu, J Keeney, S van der Meer, GM Muntean 2014 IEEE Network Operations and Management Symposium (NOMS), 1-8, 2014 | 12 | 2014 |
| Mrmac: Mixed reality multi-user asymmetric collaboration F Zaman, C Anslow, A Chalmers, T Rhee 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2023 | 11 | 2023 |
| A neural network ensemble incorporated with dynamic variable selection for rainfall forecast SS Monira, ZM Faisal, H Hirose 2011 12th ACIS International Conference on Software Engineering, Artificial …, 2011 | 10 | 2011 |
| Double SVMbagging: A new double bagging with support vector machine FM Zaman, H Hirose idea 29, 14, 2009 | 9 | 2009 |
| More accurate diagnosis in electric power apparatus conditions using ensemble classification methods H Hirose, F Zaman IEEE Transactions on Dielectrics and Electrical Insulation 18 (5), 1584-1590, 2011 | 8 | 2011 |
| Spotted: connecting people, locations, and real-world events in a cellular network R Trestian, F Zaman, GM Muntean Handbook of Research on Innovations in Information Retrieval, Analysis, and …, 2016 | 7 | 2016 |
| Accuracy assessment for the trade-off curve and its upper bound curve in the bump hunting using the new tree genetic algorithm H Hirose, T Yukizane, F Zaman 7th World Congress in Probability and Statistics, 2008 | 7 | 2008 |
| A robust bagging method using median as a combination rule F Zaman, H Hirose 2008 IEEE 8th International Conference on Computer and Information …, 2008 | 7 | 2008 |
| Insights in to iron-based nanoparticles (hematite and magnetite) improving the maize growth (Zea mays L.) and iron nutrition with low environmental impacts N Yousaf, MF Sardar, M Ishfaq, B Yu, Y Zhong, F Zaman, F Zhang, C Zou Chemosphere 362, 142781, 2024 | 6 | 2024 |
| A deep learning knowledge graph approach to drug labelling J Sastre, F Zaman, N Duggan, C McDonagh, P Walsh 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 6 | 2020 |
| Diagnosis accuracy in electric power apparatus conditions using classification methods H Hirose, F Zaman IEEE Transactions on Dielectrics and Electrical Insulation 17 (1), 271-279, 2010 | 5 | 2010 |
| Double SVMbagging: A subsampling approach to SVM ensemble F Zaman, H Hirose Intelligent Automation and Computer Engineering. Springer, Heidelberg, 2009 | 5 | 2009 |
| A new double bagging via the support vector machine with application to the condition diagnosis for the electric power apparatus F Zaman, H Hirose International Conference on Data Mining and Applications (ICDMA’09), 654-660, 2009 | 5 | 2009 |
Hideo HiroseKurume University, Chuo UniversityVerified email at ces.kyutech.ac.jp
