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Semantic ScholarUsman Qamar
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2010 – today
- 2017
[b2]Muhammad Summair Raza, Usman Qamar:
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Springer 2017, ISBN 978-981-10-4964-4, pp. 1-194- [j21]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Lexicon based semantic detection of sentiments using expected likelihood estimate smoothed odds ratio. Artif. Intell. Rev. 48(1): 113-138 (2017) - [j20]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet. Knowl. Inf. Syst. 51(3): 851-872 (2017) - 2016
- [j19]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
SentiMI: Introducing point-wise mutual information with SentiWordNet to improve sentiment polarity detection. Appl. Soft Comput. 39: 140-153 (2016) - [j18]Usman Qamar, Rozina Nisa, Saba Bashir, Farhan Hassan Khan:
A Majority Vote Based Classifier Ensemble for Web Service Classification. Business & Information Systems Engineering 58(4): 249-259 (2016) - [j17]Saba Bashir, Usman Qamar, Farhan Hassan Khan:
A Multicriteria Weighted Vote-Based Classifier Ensemble for Heart Disease Prediction. Computational Intelligence 32(4): 615-645 (2016) - [j16]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Multi-Objective Model Selection (MOMS)-based Semi-Supervised Framework for Sentiment Analysis. Cognitive Computation 8(4): 614-628 (2016) - [j15]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Senti-CS: Building a lexical resource for sentiment analysis using subjective feature selection and normalized Chi-Square-based feature weight generation. Expert Systems 33(5): 489-500 (2016) - [j14]Muhammad Summair Raza, Usman Qamar:
An incremental dependency calculation technique for feature selection using rough sets. Inf. Sci. 343-344: 41-65 (2016) - [j13]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
eSAP: A decision support framework for enhanced sentiment analysis and polarity classification. Inf. Sci. 367-368: 862-873 (2016) - [j12]Saba Bashir, Usman Qamar, Farhan Hassan Khan:
IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework. Journal of Biomedical Informatics 59: 185-200 (2016) - [j11]Saba Bashir, Usman Qamar, Farhan Hassan Khan, Lubna Naseem:
HMV: A medical decision support framework using multi-layer classifiers for disease prediction. J. Comput. Science 13: 10-25 (2016) - [j10]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis. Knowl.-Based Syst. 100: 97-111 (2016) - [c21]Sobh Zeb, Usman Qamar, Faiza Hussain:
Sentiment Analysis on User Reviews Through Lexicon and Rule-Based Approach. APWeb Workshops 2016: 55-63 - [c20]Saadia Ismail, Majed Alshmari, Usman Qamar, Wasi Haider Butt, Khalid Latif, Hafiz Farooq Ahmad:
HL7 FHIR Compliant Data Access Model for Maternal Health Information System. BIBE 2016: 51-56 - [c19]Andleeb Shahnaz, Usman Qamar, Abdul Wahab Muzaffar:
Building a Core Biomedical Knowledge Base. BigDataService 2016: 283-285 - [c18]Muhammad Summair Raza, Usman Qamar:
A Rough Set Based Feature Selection Approach Using Random Feature Vectors. FIT 2016: 229-234 - [c17]Bushra Zafar, Michael Cochez, Usman Qamar:
Using Distributional Semantics for Automatic Taxonomy Induction. FIT 2016: 348-353 - [c16]Faiza Hussain, Usman Qamar:
Identification and Correction of Misspelled Drugs Names in Electronic Medical Records (EMR). ICEIS (2) 2016: 333-338 - [c15]A. B. N. Alvi, Usman Qamar, Abdul Wahab Muzaffar, Wasi Haider Butt:
A Novel Hybrid Classifiers based Model for mining in Neuro-imaging. ICC 2016 2016: 13:1-13:6 - [c14]Muhammad Summair Raza, Usman Qamar:
A hybrid feature selection approach based on heuristic and exhaustive algorithms using Rough set theory. ICC 2016 2016: 47:1-47:7 - [c13]Bushra Zafar, Usman Qamar, Ayesha Imran:
A Domain-Independent Hybrid Approach for Automatic Taxonomy Induction. PDCAT 2016: 372-375 - [c12]Faiza Hussain, Usman Qamar, Sobh Zeb:
A Novel Approach for Searching Linguistic Synonyms through Parts of Speech Tagging. WI 2016: 465-468 - 2015
- [j9]Abdul Wahab Muzaffar, Farooque Azam, Usman Qamar:
A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set. Comp. Math. Methods in Medicine 2015: 910423:1-910423:12 (2015) - [j8]Rozina Nisa, Usman Qamar:
A text mining based approach for web service classification. Inf. Syst. E-Business Management 13(4): 751-768 (2015) - [j7]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Building Normalized SentiMI to enhance semi-supervised sentiment analysis. Journal of Intelligent and Fuzzy Systems 29(5): 1805-1816 (2015) - [j6]Aqdas Ikram, Usman Qamar:
Developing an expert system based on association rules and predicate logic for earthquake prediction. Knowl.-Based Syst. 75: 87-103 (2015) - [c11]Kashif Ullah Khan, Usman Qamar:
Improved Single-Label Text Categorization by Instance Filtration. CISIS 2015: 28-35 - [c10]Samiullah Khan, Usman Qamar, Abdul Wahab Muzaffar:
A Framework for Evaluation of OWL Biomedical Ontologies Based on Properties Coverage. FIT 2015: 59-64 - [c9]Shoaib Hassan, Usman Qamar, Taimoor Hassan, Muhammad Waqas:
Software Reverse Engineering to Requirement Engineering for Evolution of Legacy System. ICITCS 2015: 1-4 - [c8]Zahoor Ahmad, Musarrat Hussain, Abdur Rehman, Usman Qamar, Muhammad Afzal:
Impact minimization of requirements change in software project through requirements classification. IMCOM 2015: 15:1-15:5 - [c7]Fareeha Choudhry, Usman Qamar, Madeeha Chaudhry:
Rule based inference engine to forecast the prevalence of congenital malformations in live births. SNPD 2015: 664-670 - [c6]Muhammad Zubair Khan, Usman Qamar:
Towards Service Evaluation and Ranking Model for Cloud Infrastructure Selection. UIC/ATC/ScalCom 2015: 1282-1287 - 2014
- [j5]Farhan Hassan Khan, Saba Bashir, Usman Qamar:
TOM: Twitter opinion mining framework using hybrid classification scheme. Decision Support Systems 57: 245-257 (2014) - [j4]Abid Hussain, Nazar Abbas Saqib, Usman Qamar, Muhammad Zia, Hasan Mahmood:
Protocol-aware radio frequency jamming in Wi-Fi and commercial wireless networks. Journal of Communications and Networks 16(4): 397-406 (2014) - [j3]Usman Qamar:
A dissimilarity measure based Fuzzy c-means (FCM) clustering algorithm. Journal of Intelligent and Fuzzy Systems 26(1): 229-238 (2014) - [j2]Aqdas Ikram, Usman Qamar:
A rule-based expert system for earthquake prediction. J. Intell. Inf. Syst. 43(2): 205-230 (2014) - [c5]Sobia Shafiq, Wasi Haider Butt, Usman Qamar:
Attack Type Prediction Using Hybrid Classifier. ADMA 2014: 488-498 - [c4]Bureera Sabir, Usman Qamar, Abdul Wahab Muzzafar:
Ontology development and evaluation for urinal tract infection. CIBIM 2014: 195-201 - [c3]Saba Bashir, Usman Qamar, Farhan Hassan Khan, M. Younus Javed:
An Efficient Rule-Based Classification of Diabetes Using ID3, C4.5, & CART Ensembles. FIT 2014: 226-231 - [c2]Aniqa Azam, M. Usman Akram, Usman Qamar:
Optic Disc Segmentation from Colored Retinal Images Using Vessel Density. FIT 2014: 313-318 - 2013
- [j1]Farhan Riaz, Ali Hassan, Saad Rehman, Usman Qamar:
Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features. IEEE Signal Process. Lett. 20(6): 607-610 (2013) - [c1]Usman Qamar:
A Rough-Set Feature Selection Model for Classification and Knowledge Discovery. SMC 2013: 788-793
2000 – 2009
- 2009
- [b1]Usman Qamar:
Faster : A hybrid algorithm for feature selection and record reduction. University of Manchester, UK 2009
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last updated on 2017-09-17 20:41 CEST by the dblp team