Följ
Mohammed Nasser
Mohammed Nasser
Professor, Department of Statistics, Rajshahi University
Verifierad e-postadress på ru.ac.bd
Titel
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År
Feature selection for intrusion detection using random forest
MAM Hasan, M Nasser, S Ahmad, KI Molla
Journal of information security 7 (3), 129-140, 2016
2002016
Support vector machine and random forest modeling for intrusion detection system (IDS)
MAM Hasan, M Nasser, B Pal, S Ahmad
Journal of Intelligent Learning Systems and Applications 2014, 2014
1962014
Making Waves: Collaboration in the time of SARS-CoV-2-rapid development of an international co-operation and wastewater surveillance database to support public health decision …
L Lundy, D Fatta-Kassinos, J Slobodnik, P Karaolia, L Cirka, N Kreuzinger, ...
Water research 199, 117167, 2021
532021
Comparison of the finite mixture of ARMA-GARCH, back propagation neural networks and support-vector machines in forecasting financial returns
A Hossain, M Nasser
Journal of Applied Statistics 38 (3), 533-551, 2011
522011
Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain
JA Vallejo, N Trigo-Tasende, S Rumbo-Feal, K Conde-Pérez, ...
Science of The Total Environment 811, 152334, 2022
432022
On the KDD’99 dataset: support vector machine based intrusion detection system (ids) with different kernels
M Al Mehedi Hasan, M Nasser, B Pal
Int. J. Electron. Commun. Comput. Eng 4 (4), 1164-1170, 2013
372013
Identification of multiple influential observations in logistic regression
AAM Nurunnabi, AHM Rahmatullah Imon, M Nasser
Journal of Applied Statistics 37 (10), 1605-1624, 2010
362010
Highly predictive regression model of active cases of COVID-19 in a population by screening wastewater viral load
J Vallejo, S Rumbo-Feal, K Conde, Á López-Oriona, J Tarrío, R Reif, ...
352020
Identification and classification of multiple outliers, high leverage points and influential observations in linear regression
AAM Nurunnabi, M Nasser, A Imon
Journal of Applied Statistics 43 (3), 509-525, 2016
312016
Canonical correlation analysis of infant's size at birth and maternal factors: a study in rural Northwest Bangladesh
A Kabir, RD Merrill, AA Shamim, RDW Klemn, AB Labrique, P Christian, ...
PloS one 9 (4), e94243, 2014
292014
The risk of misclassifying subjects within principal component based asset index
MAY Sharker, M Nasser, J Abedin, BF Arnold, SP Luby
Emerging themes in epidemiology 11, 1-8, 2014
242014
A diagnostic measure for influential observations in linear regression
AAM Nurunnabi, AHMR Imon, M Nasser
Communications in Statistics—Theory and Methods 40 (7), 1169-1183, 2011
232011
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
Recurrent support and relevance vector machines based model with application to forecasting volatility of financial returns
A Hossain, M Nasser
Journal of Intelligent Learning Systems and Applications 3 (04), 230, 2011
192011
A new singular value decomposition based robust graphical clustering technique and its application in climatic data
N Kumar, M Nasser, S Chandra Sarker
Journal of Geography and Geology 3 (1), 227-238, 2011
162011
A Comparative Study of Kernel and Robust Canonical Correlation Analysis.
AM Alam, M Nasser, K Fukumizu
Journal of Multimedia 5 (1), 2010
152010
Sensitivity analysis in robust and kernel canonical correlation analysis
MA Alam, M Nasser, K Fukumizu
2008 11th International Conference on Computer and Information Technology …, 2008
152008
Predicting the number of children ever born using logistic regression model
A Haque, T Hossain, M Nasser
Biom Biostat Int J 2 (4), 00034, 2015
142015
Support vector machine and random forest modeling for intrusion detection system (IDS)
M Al Hasan, M Nasser, B Pal, S Ahmad
Journal of Intelligent Learning Systems and Applications 6, 45-52, 2014
142014
Outlier diagnostics in logistic regression: a supervised learning technique
AAM Nurunnabi, M Nasser
2009 International Conference on Medicine Learning and Computing IPCSIT 3, 90-95, 2011
142011
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Artiklar 1–20