Dr Usman Qamar
Dr Usman Qamar
Associate Professor & HoD (CSE), NUST & Director Knowledge and Data Science Research Centre (KDRC)
Verified email at ceme.nust.edu.pk - Homepage
Cited by
Cited by
TOM: Twitter opinion mining framework using hybrid classification scheme
FH Khan, S Bashir, U Qamar
Decision support systems 57, 245-257, 2014
Using blockchain for electronic health records
A Shahnaz, U Qamar, A Khalid
IEEE Access 7, 147782-147795, 2019
IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework
S Bashir, U Qamar, FH Khan
Journal of biomedical informatics 59, 185-200, 2016
Texture classification using rotation-and scale-invariant gabor texture features
F Riaz, A Hassan, S Rehman, U Qamar
IEEE Signal Processing Letters 20 (6), 607-610, 2013
SentiMI: Introducing point-wise mutual information with SentiWordNet to improve sentiment polarity detection
FH Khan, U Qamar, S Bashir
Applied Soft Computing 39, 140-153, 2016
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet
FH Khan, U Qamar, S Bashir
Knowledge and information Systems 51 (3), 851-872, 2017
HMV: A medical decision support framework using multi-layer classifiers for disease prediction
S Bashir, U Qamar, FH Khan, L Naseem
Journal of Computational Science 13, 10-25, 2016
Detection of glaucoma using retinal fundus images
F Khan, SA Khan, UU Yasin, I ul Haq, U Qamar
The 6th 2013 Biomedical Engineering International Conference, 1-5, 2013
SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis
FH Khan, U Qamar, S Bashir
Knowledge-Based Systems 100, 97-111, 2016
An incremental dependency calculation technique for feature selection using rough sets
MS Raza, U Qamar
Information Sciences 343, 41-65, 2016
Developing an expert system based on association rules and predicate logic for earthquake prediction
A Ikram, U Qamar
Knowledge-Based Systems 75, 87-103, 2015
BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting
S Bashir, U Qamar, FH Khan
Australasian physical & engineering sciences in medicine 38 (2), 305-323, 2015
eSAP: A decision support framework for enhanced sentiment analysis and polarity classification
FH Khan, U Qamar, S Bashir
Information Sciences 367, 862-873, 2016
Heterogeneous classifiers fusion for dynamic breast cancer diagnosis using weighted vote based ensemble
S Bashir, U Qamar, FH Khan
Quality & Quantity 49 (5), 2061-2076, 2015
An efficient rule-based classification of Diabetes using ID3, C4. 5, & CART ensembles
S Bashir, U Qamar, FH Khan, MY Javed
2014 12th International Conference on Frontiers of Information Technology …, 2014
Integrating DEA with DE and MODE for sustainable supplier selection
SK Jauhar, M Pant
Journal of computational science 21, 299-306, 2017
An ensemble based decision support framework for intelligent heart disease diagnosis
S Bashir, U Qamar, MY Javed
International conference on information society (i-Society 2014), 259-264, 2014
MAPS Database: Medicinal plant activities, phytochemical and structural database
UA Ashfaq, A Mumtaz, T ul Qamar, T Fatima
Bioinformation 9 (19), 993, 2013
Multidrug resistant microorganisms causing neonatal septicemia: In a tertiary care hospital Lahore, Pakistan
A Hannan, MU Qamar, M Usman, KAI Waheed, K Rauf
African Journal of Microbiology Research 7 (19), 1896-1902, 2013
MV5: a clinical decision support framework for heart disease prediction using majority vote based classifier ensemble
S Bashir, U Qamar, FH Khan, MY Javed
Arabian Journal for Science and Engineering 39 (11), 7771-7783, 2014
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