Mohammed Nasser
Mohammed Nasser
Professor, Department of Statistics, Rajshahi University
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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
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
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
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
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, ...
Identification of multiple influential observations in logistic regression
AAM Nurunnabi, AHM Rahmatullah Imon, M Nasser
Journal of Applied Statistics 37 (10), 1605-1624, 2010
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
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
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
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
The risk of misclassifying subjects within principal component based asset index
MA Sharker, M Nasser, J Abedin, BF Arnold, SP Luby
Emerging themes in epidemiology 11 (1), 1-8, 2014
Comparison of GARCH, neural network and support vector machine in financial time series prediction
A Hossain, F Zaman, M Nasser, MM Islam
International Conference on Pattern Recognition and Machine Intelligence …, 2009
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
A Comparative Study of Kernel and Robust Canonical Correlation Analysis.
AM Alam, M Nasser, K Fukumizu
Journal of Multimedia 5 (1), 2010
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
Simple method for the simultaneous analysis of pipecolic acid and lysine by high-performance liquid chromatography and its application to rumen liquor and plasma of ruminants
H Hussain-Yusuf, R Onodera, MEA Nasser, H Sato
Journal of Chromatography B: Biomedical Sciences and Applications 735 (1), 63-72, 1999
New second-order optimality conditions in multiobjective optimization problems: differentiable case
MM Rizvi, M Nasser
Journal of the Indian Institute of Science 86 (3), 279, 2006
A new singular value decomposition based robust graphical clustering technique and its application in climatic data
N Kumar, M Nasser, SC Sarker
Journal of Geography and Geology 3 (1), 227, 2011
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
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
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Artículos 1–20