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Dr. Sajid Anwar
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Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study
A Amin, S Anwar, A Adnan, M Nawaz, N Howard, J Qadir, A Hawalah, ...
IEEE Access 4, 7940-7957, 2016
3092016
Customer churn prediction in the telecommunication sector using a rough set approach
A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang
Neurocomputing 237, 242-254, 2017
2762017
Customer churn prediction in telecommunication industry using data certainty
A Amin, F Al-Obeidat, B Shah, A Adnan, J Loo, S Anwar
Journal of Business Research 94, 290-301, 2019
2542019
Static malware detection and attribution in android byte-code through an end-to-end deep system
M Amin, TA Tanveer, M Tehseen, M Khan, FA Khan, S Anwar
Future generation computer systems 102, 112-126, 2020
1032020
Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods
A Amin, B Shah, AM Khattak, FJL Moreira, G Ali, A Rocha, S Anwar
International Journal of Information Management 46, 304-319, 2019
972019
Automated GUI test coverage analysis using GA
A Rauf, S Anwar, MA Jaffer, AA Shahid
2010 Seventh International Conference on Information Technology: New …, 2010
812010
Android malware detection through generative adversarial networks
M Amin, B Shah, A Sharif, T Ali, KI Kim, S Anwar
Transactions on Emerging Telecommunications Technologies 33 (2), e3675, 2022
572022
Churn prediction in telecommunication industry using rough set approach
A Amin, S Shehzad, C Khan, I Ali, S Anwar
New trends in computational collective intelligence, 83-95, 2015
542015
A novel learning method to classify data streams in the internet of things
MA Khan, A Khan, MN Khan, S Anwar
2014 national software engineering conference, 61-66, 2014
462014
Software component selection based on quality criteria using the analytic network process
S Nazir, S Anwar, SA Khan, S Shahzad, M Ali, R Amin, M Nawaz, ...
Abstract and Applied Analysis 2014, 2014
462014
Customer churn prediction in telecommunication industry: With and without counter-example
A Amin, C Khan, I Ali, S Anwar
Nature-Inspired Computation and Machine Learning: 13th Mexican International …, 2014
422014
Just-in-time customer churn prediction in the telecommunication sector
A Amin, F Al-Obeidat, B Shah, MA Tae, C Khan, HUR Durrani, S Anwar
The Journal of Supercomputing 76 (6), 3924-3948, 2020
402020
COVID-19 patient count prediction using LSTM
M Iqbal, F Al-Obeidat, F Maqbool, S Razzaq, S Anwar, A Tubaishat, ...
IEEE Transactions on Computational Social Systems 8 (4), 974-981, 2021
362021
A deep learning system for health care IoT and smartphone malware detection
M Amin, D Shehwar, A Ullah, T Guarda, TA Tanveer, S Anwar
Neural Computing and Applications, 1-12, 2022
352022
Conceptualization of smartphone usage and feature preferences among various demographics
ZH Ahmar Rashid, Muhammad Amir Zeb,Amad Rashid, Sajid Anwar, Fernando Joaquim
Cluster Computing, 2020
342020
Just-in-time customer churn prediction: With and without data transformation
A Amin, B Shah, AM Khattak, T Baker, S Anwar
2018 IEEE congress on evolutionary computation (CEC), 1-6, 2018
332018
The effective use of information technology and interactive activities to improve learner engagement
A Ullah, S Anwar
Education Sciences 10 (12), 349, 2020
322020
Value based fuzzy requirement prioritization and its evaluation framework
M Ramzan, MA Jaffar, MA Iqbal, S Anwar, AA Shahid
2009 Fourth International Conference on Innovative Computing, Information …, 2009
322009
A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction
A Amin, F Rahim, I Ali, C Khan, S Anwar
New Contributions in Information Systems and Technologies: Volume 1, 215-225, 2015
302015
Intrusion detection in networks using cuckoo search optimization
M Imran, S Khan, H Hlavacs, FA Khan, S Anwar
Soft Computing 26 (20), 10651-10663, 2022
292022
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Articles 1–20