Dr. Sajid Anwar
Cited by
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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
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
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
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
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
Automated GUI test coverage analysis using GA
A Rauf, S Anwar, MA Jaffer, AA Shahid
2010 Seventh International Conference on Information Technology: New …, 2010
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
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
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
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
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
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
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
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
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
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
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
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, 2020
Project scheduling conflict identification and resolution using genetic algorithms (GA)
M Ramzan, A Jaffar, A Iqbal, S Anwar, A Rauf, AA Shahid
Telecommunication Systems 51 (2), 167-175, 2012
Compromised user credentials detection in a digital enterprise using behavioral analytics
SA Saleh Shah,Babar Shah, Adnan Amin, Feras Al-Obeid ,Francis Chow, Fernando ...
Future Generation Computer Systems 93, 407-417, 2019
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