Dewan Md. Farid
Dewan Md. Farid
Professor of Computer Science, 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
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
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
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
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
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm.
DM Farid, MZ Rahman
J. Comput. 5 (1), 23-31, 2010
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
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), 17731, 2017
Adaptive intrusion detection based on boosting and naïve Bayesian classifier
CM Rahman, DM Farid, MZ Rahman
International Journal of Computer Applications, 2011
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
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
Adaptive network intrusion detection learning: attribute selection and classification
DM Farid, J Darmont, N Harbi, HH Nguyen, MZ Rahman
International Conference on computer systems Engineering (ICCSE 2009), TH60000, 2009
FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction
F Rayhan, S Ahmed, Z Mousavian, DM Farid, S Shatabda
Heliyon 6 (3), 2020
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
The prediction of traffic flow with regression analysis
I Alam, DM Farid, RJF Rossetti
Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019
Hybrid methods for class imbalance learning employing bagging with sampling techniques
S Ahmed, A Mahbub, F Rayhan, R Jani, S Shatabda, DM Farid
2017 2nd International Conference on Computational Systems and Information …, 2017
Improving detection accuracy for imbalanced network intrusion classification using cluster-based under-sampling with random forests
MO Miah, SS Khan, S Shatabda, DM Farid
2019 1st international conference on advances in science, engineering and …, 2019
Mining complex data streams: discretization, attribute selection and classification
DM Farid, CM Rahman
Journal of Advances in Information Technology 4 (3), 129-135, 2013
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
The system can't perform the operation now. Try again later.
Articles 1–20