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Dr. Rashid Naseem
Dr. Rashid Naseem
Pak-Austria Fachhochschule Institute of Applied Sciences and Technology
Verified email at paf-iast.edu.pk
Title
Cited by
Cited by
Year
Common benchmark functions for metaheuristic evaluation: A review
K Hussain, MNM Salleh, S Cheng, R Naseem
JOIV: International Journal on Informatics Visualization 1 (4-2), 218-223, 2017
1282017
A survey on bug prioritization
J Uddin, R Ghazali, MM Deris, R Naseem, H Shah
Artificial Intelligence Review 47, 145-180, 2017
962017
An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
B Khan, R Naseem, F Muhammad, G Abbas, S Kim
IEEE Access 8, 55012-55022, 2020
822020
Cooperative Clustering for Software Modularization
R Naseem, O Maqbool, S Muhammad
Journal of Systems and Software 86 (8), 2045 – 2062, 2013
572013
Improved similarity measures for software clustering
R Naseem, O Maqbool, S Muhammad
2011 15th European Conference on Software Maintenance and Reengineering, 45-54, 2011
522011
Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
B Khan, R Naseem, MA Shah, K Wakil, A Khan, MI Uddin, M Mahmoud
Journal of Healthcare Engineering 2021, 2021
512021
Effect of negation in sentiment analysis
W Sharif, NA Samsudin, MM Deris, R Naseem
2016 sixth international conference on innovative computing technology …, 2016
462016
ABioNER: a BERT-based model for Arabic biomedical named-entity recognition
N Boudjellal, H Zhang, A Khan, A Ahmad, R Naseem, J Shang, L Dai
Complexity 2021, 1-6, 2021
422021
Artificial bee colony algorithm: A component-wise analysis using diversity measurement
K Hussain, MNM Salleh, S Cheng, Y Shi, R Naseem
Journal of King Saud University-Computer and Information Sciences 32 (7 …, 2020
372020
A review on data preprocessing methods for class imbalance problem
H Ali, MNM Salleh, K Hussain, A Ahmad, A Ullah, A Muhammad, ...
International Journal of Engineering & Technology 8 (3), 390-397, 2019
312019
Improving CBIR accuracy using convolutional neural network for feature extraction
A Shah, R Naseem, S Iqbal, MA Shah
2017 13th International Conference on Emerging Technologies (ICET), 1-5, 2017
302017
Exploration and exploitation measurement in swarm-based metaheuristic algorithms: An empirical analysis
MNM Salleh, K Hussain, S Cheng, Y Shi, A Muhammad, G Ullah, ...
Recent Advances on Soft Computing and Data Mining: Proceedings of the Third …, 2018
292018
Performance assessment of classification algorithms on early detection of liver syndrome
R Naseem, B Khan, MA Shah, K Wakil, A Khan, W Alosaimi, MI Uddin, ...
Journal of Healthcare Engineering 2020, 2020
262020
A dataset for software requirements risk prediction
ZS Shaukat, R Naseem, M Zubair
2018 IEEE International conference on computational science and engineering …, 2018
242018
An improved similarity measure for binary features in software clustering
R Naseem, O Maqbool, S Muhammad
2010 Second International Conference on Computational Intelligence …, 2010
222010
Machine learning approaches for liver disease diagnosing
B Khan, R Naseem, M Ali, M Arshad, N Jan
International Journal of Data Science and Advanced Analytics 1 (1), 27-31, 2019
212019
Fetal heart rate classification and comparative analysis using cardiotocography data and KNOWN classifiers
R Afridi, Z Iqbal, M Khan, A Ahmad, R Naseem
International Journal of Grid and Distributed Computing (IJGDC) 12, 31-42, 2019
202019
Identification of challenges during requirements implementation in global software development: A systematic
M Yaseen, R Naseem, Z Ali, G Ullah
vol 4, 23-40, 2019
192019
Hybrid guided artificial bee colony algorithm for numerical function optimization
H Shah, T Herawan, R Naseem, R Ghazali
Advances in Swarm Intelligence: 5th International Conference, ICSI 2014 …, 2014
192014
Empirical assessment of machine learning techniques for software requirements risk prediction
R Naseem, Z Shaukat, M Irfan, MA Shah, A Ahmad, F Muhammad, ...
Electronics 10 (2), 168, 2021
172021
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