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Faisal Zaman
Faisal Zaman
Principal Data Scientist
Adresă de e-mail confirmată pe accenture.com - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
1022016
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
1022012
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
362009
Classification performance of bagging and boosting type ensemble methods with small training sets
MF Zaman, H Hirose
New Generation Computing 29, 277-292, 2011
332011
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
282015
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
272010
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
232009
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
122014
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
102011
Double SVMbagging: A new double bagging with support vector machine
FM Zaman, H Hirose
idea 29, 14, 2009
92009
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
72016
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
72008
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
52020
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
52011
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
52010
Double SVMbagging: A subsampling approach to SVM ensemble
F Zaman, H Hirose
Intelligent Automation and Computer Engineering. Springer, Heidelberg, 2009
52009
A robust bagging method using median as a combination rule
F Zaman, H Hirose
2008 IEEE 8th International Conference on Computer and Information …, 2008
52008
An adaptive ensemble method for quantitative rainfall forecast
SS Monira, ZM Faisal, H Hirose
SICE Annual Conference 2011, 149-154, 2011
42011
A novel hybrid forecast model with weighted forecast combination with application to daily rainfall forecast of Fukuoka city
SM Sumi, MF Zaman, H Hirose
Intelligent Information and Database Systems: Third International Conference …, 2011
42011
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
42009
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