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Sheikh Shah Mohammad Motiur Rahman
Sheikh Shah Mohammad Motiur Rahman
Researcher PhD Student, FEMTO-ST Institute, France
Verified email at femto-st.fr - Homepage
Title
Cited by
Cited by
Year
Evaluation of tree based machine learning classifiers for android malware detection
MS Rana, SSMM Rahman, AH Sung
Computational Collective Intelligence: 10th International Conference, ICCCI …, 2018
442018
PhishStack: evaluation of stacked generalization in phishing URLs detection
SSMM Rahman, T Islam, MI Jabiullah
Procedia Computer Science 167, 2410-2418, 2020
282020
StackDroid: Evaluation of a Multi-level Approach for Detecting the Malware on Android Using Stacked Generalization
S Rahman, SK Saha
Recent Trends in Image Processing and Pattern Recognition 1035, 611-623, 2019
19*2019
An investigation and evaluation of N-Gram, TF-IDF and ensemble methods in sentiment classification
SSMM Rahman, KBMB Biplob, MH Rahman, K Sarker, T Islam
Cyber Security and Computer Science: Second EAI International Conference …, 2020
182020
Revisiting the Class Imbalance Issue in Software Defect Prediction
MF Sohan, MA Kabir, MI Jabiullah, SSMM Rahman
2019 International Conference on Electrical, Computer and Communication …, 2019
182019
Supervised ensemble machine learning aided performance evaluation of sentiment classification
SSMM Rahman, MH Rahman, K Sarker, MS Rahman, N Ahsan, ...
Journal of Physics: Conference Series 1060, 012036, 2018
152018
Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction
SH Sohan, M. F., Jabiullah, M. I., Rahman, S. S. M. M., & Mahmud
2019 10th International Conference on Computing, Communication and …, 2019
142019
Performance Assessment of Multiple Machine Learning Classifiers for Detecting the Phishing URLs
SSMM Rahman, FB Rafiq, TR Toma, SS Hossain, KBB Biplob
Advances in Intelligent Systems and Computing 1079, 285-296, 2020
132020
Evaluation of N-gram based multi-layer approach to detect malware in Android
T Islam, SSMM Rahman, MA Hasan, ASMM Rahaman, MI Jabiullah
Procedia Computer Science 171, 1074-1082, 2020
132020
A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application
MM Rahman, SSMM Rahman, SM Allayear, MFK Patwary, MTA Munna
Advances in Intelligent Systems and Computing 1079, 397-407, 2020
102020
OSCRUM: A Modified Scrum for Open Source Software Development
SSMM Rahman, SA Mollah, S Anirban, MH Rahman, M Rahman, ...
International Journal of Simulation: Systems, Science & Technology, IJSSST …, 2018
102018
IntAnti-Phish: An Intelligent Anti-Phishing Framework Using Backpropagation Neural Network
SSMM Rahman, L Gope, T Islam, M Alazab
Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2020
82020
Depression Detection from Social Media Using Twitter’s Tweet
RJ Lia, AB Siddikk, F Muntasir, SSMM Rahman, N Jahan
Big Data Intelligence for Smart Applications 994, 2022
72022
Relative direction: location path providing method for allied intelligent agent
SR Kabir, MM Alam, SM Allayear, MTA Munna, SS Hossain, ...
Advances in Computing and Data Sciences: Second International Conference …, 2018
52018
Automatic classification of patients with myocardial infarction or myocarditis based only on clinical data: A quick response
SSMM Rahman, Z Chen, A Lalande, T Decourselle, A Cochet, T Pommier, ...
Plos one 18 (5), e0285165, 2023
42023
FakeTouch: Machine Learning Based Framework for Detecting Fake News
AB Siddikk, RJ Lia, MF Muntasir, SSMM Rahman, MS Arman, MR Jahan
Big Data Intelligence for Smart Applications. Studies in Computational …, 2022
42022
A Large-Scale Investigation to Identify the Pattern of App Component in Obfuscated Android Malwares
MOFK Russel, SSMM Rahman, T Islam
Communications in Computer and Information Science 1241, 513-526, 2020
42020
A large-scale investigation to identify the pattern of permissions in obfuscated Android malwares
MOFK Russel, SSMM Rahman, T Islam
Cyber Security and Computer Science: Second EAI International Conference …, 2020
42020
NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Users
MF Sohan, SSMM Rahman, MTA Munna, SM Allayear, MH Rahman, ...
International Conference on Next Generation Computing Technologies, 38-48, 2018
32018
AntiPhishTuner: Multi-level Approaches Focusing on Optimization by Parameters Tuning in Phishing URLs Detection
MF Muntasir, SSMM Rahman, N Jahan, AB Siddikk, T Islam
Artificial Intelligence and Blockchain for Future Cybersecurity Applications …, 2021
22021
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