| 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 | 401 | 2014 |
| Combining naive bayes and decision tree for adaptive intrusion detection DM Farid, N Harbi, MZ Rahman arXiv preprint arXiv:1005.4496, 2010 | 218 | 2010 |
| 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 | 188 | 2014 |
| 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 | 176 | 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 | 129 | 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 | 118 | 2013 |
| Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm. DM Farid, MZ Rahman J. Comput. 5 (1), 23-31, 2010 | 104 | 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 | 84 | 2017 |
| Adaptive intrusion detection based on boosting and naïve Bayesian classifier CM Rahman, DM Farid, MZ Rahman International Journal of Computer Applications, 2011 | 73 | 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 | 60 | 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 | 58 | 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 | 54 | 2017 |
| 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 | 50 | 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 | 49 | 2019 |
| 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 | 35 | 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 | 34 | 2018 |
| FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction F Rayhan, S Ahmed, Z Mousavian, DM Farid, S Shatabda Heliyon 6 (3), e03444, 2020 | 33* | 2020 |
| Learning intrusion detection based on adaptive bayesian algorithm DM Farid, MZ Rahman 2008 11th International Conference on Computer and Information Technology …, 2008 | 29 | 2008 |
| 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 | 27 | 2018 |
| The prediction of traffic flow with regression analysis I Alam, DM Farid, RJF Rossetti Emerging Technologies in Data Mining and Information Security, 661-671, 2019 | 26 | 2019 |
Chowdhury Mofizur RahmanProfessor of Computer Science of United International UniversityVerified email at uiu.ac.bd
