Dewan Md. Farid
Dewan Md. Farid
Associate Professor, Dept. of Computer Science & Engineering, United International University
Verified email at - Homepage
Cited by
Cited by
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
DM Farid, L Zhang, CM Rahman, MA Hossain, R Strachan
Expert systems with applications 41 (4), 1937-1946, 2014
Combining naive bayes and decision tree for adaptive intrusion detection
DM Farid, N Harbi, MZ Rahman
arXiv preprint arXiv:1005.4496, 2010
An adaptive ensemble classifier for mining concept drifting data streams
DM Farid, L Zhang, A Hossain, CM Rahman, R Strachan, G Sexton, ...
Expert Systems with Applications 40 (15), 5895-5906, 2013
Feature selection and intrusion classification in NSL-KDD cup 99 dataset employing SVMs
MS Pervez, DM Farid
The 8th International Conference on Software, Knowledge, Information …, 2014
Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot
L Zhang, M Jiang, D Farid, MA Hossain
Expert Systems with Applications 40 (13), 5160-5168, 2013
Application of machine learning approaches in intrusion detection system: a survey
NF Haq, AR Onik, MAK Hridoy, M Rafni, FM Shah, DM Farid
IJARAI-International Journal of Advanced Research in Artificial Intelligence …, 2015
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm.
DM Farid, MZ Rahman
J. Comput. 5 (1), 23-31, 2010
iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting
F Rayhan, S Ahmed, S Shatabda, DM Farid, Z Mousavian, A Dehzangi, ...
Scientific reports 7 (1), 1-18, 2017
Adaptive intrusion detection based on boosting and naïve Bayesian classifier
CM Rahman, DM Farid, MZ Rahman
International Journal of Computer Applications, 2011
An adaptive rule-based classifier for mining big biological data
DM Farid, MA Al-Mamun, B Manderick, A Nowe
Expert Systems with Applications 64, 305-316, 2016
Attacks classification in adaptive intrusion detection using decision tree
CM Rahman, DM Farid, N Harbi, E Bahri, MZ Rahman
World Academy of Science, Engineering and Technology, 2010
Adaptive network intrusion detection learning: attribute selection and classification
D Farid, J Darmont, N Harbi, HH Nguyen, MZ Rahman
International Conference on computer systems Engineering (ICCSE 2009), TH60000, 2009
Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
S Adilina, DM Farid, S Shatabda
Journal of theoretical biology 460, 64-78, 2019
Cusboost: Cluster-based under-sampling with boosting for imbalanced classification
F Rayhan, S Ahmed, A Mahbub, R Jani, S Shatabda, DM Farid
2017 2nd International Conference on Computational Systems and Information …, 2017
Novel class detection in concept-drifting data stream mining employing decision tree
DM Farid, CM Rahman
2012 7th International Conference on Electrical and Computer Engineering …, 2012
EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features
MR Uddin, A Sharma, DM Farid, MM Rahman, A Dehzangi, S Shatabda
Journal of theoretical biology 443, 138-146, 2018
Learning intrusion detection based on adaptive bayesian algorithm
DM Farid, MZ Rahman
2008 11th International Conference on Computer and Information Technology …, 2008
Literature review of feature selection for mining tasks
MS Pervez, DM Farid
International Journal of Computer Applications 116 (21), 2015
Assigning weights to training instances increases classification accuracy
DM Farid, CM Rahman
International Journal of Data Mining & Knowledge Management Process 3 (1), 13, 2013
iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features
MM Islam, S Saha, MM Rahman, S Shatabda, DM Farid, A Dehzangi
Proteins: Structure, Function, and Bioinformatics 86 (7), 777-789, 2018
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