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2020 – today
- 2024
[j38]Tahira Sadaf, Usman Qamar, Shoab Ahmed Khan, Sameera Amjad:
A novel data driven anticipatory framework for the communicable syndrome. Eng. Appl. Artif. Intell. 132: 107929 (2024)- [j37]Rana Muhammad Kaleem Ullah, Usman Qamar
, Muhammad Summair Raza, John Ahmet Erkoyuncu:
An incremental approach for calculating dominance-based rough set dependency. Soft Comput. 28(5): 3757-3781 (2024) - 2023
- [b5]Usman Qamar, Muhammad Summair Raza:
Data Science Concepts and Techniques with Applications, Second Edition. Springer 2023, ISBN 978-3-031-17441-4 - [j36]Usman Qamar, Muhammad Summair Raza:
A computationally efficient approximation calculation method in dominance-based rough set approach. Appl. Soft Comput. 148: 110926 (2023) - [c64]Sadia Khalid, Uzair Rasheed, Mishal Muneer, Wasi Haider Butt, Rabia Mehmood, Usman Qamar:
Common Problems in Software Requirement Engineering Process: An Overview of Pakistani Software Industry. ICACS 2023: 1-6 - 2022
- [j35]Faryal Nosheen, Usman Qamar, Muhammad Summair Raza:
A parallel rule-based approach to compute rough approximations of dominance based rough set theory. Eng. Appl. Artif. Intell. 115: 105285 (2022) - [j34]Faryal Nosheen, Usman Qamar, Muhammad Summair Raza:
Redefining preliminaries of dominance-based rough set approach. Soft Comput. 26(3): 977-1002 (2022) - [c63]Waseem Abbas, Muhammad Usman, Usman Qamar:
Churn Prediction of Customers in a Retail Business using Exploratory Data Analysis. FIT 2022: 130-135 - [c62]Madeha Arif, Usman Qamar, Amreen Riaz:
A Machine Learning-Based Approach for Improving TCP Congestion Detection Mechanism in IoTs. FIT 2022: 142-146 - [c61]Faryal Nosheen, Usman Qamar, Muhammad Summair Raza:
A Heuristic Approach to Dynamically Update Approximations of Dominance Based Rough Set Theory. ICACT 2022: 341-346 - 2021
- [j33]Khushbakht Iqtidar, Usman Qamar, Sumair Aziz, Muhammad Umar Khan:
Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns. Comput. Biol. Medicine 138: 104926 (2021) - [j32]Sumair Aziz, Muhammad Awais, Muhammad Umar Khan, Khushbakht Iqtidar, Usman Qamar:
Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals. Expert Syst. J. Knowl. Eng. 38(3) (2021) - [p1]Hina Anwar, Iffat Fatima, Dietmar Pfahl, Usman Qamar:
Tool Support for Green Android Development. Software Sustainability 2021: 153-182 - [i1]Gulshan Saleem, Nisar Ahmed, Usman Qamar:
Text Mining Through Label Induction Grouping Algorithm Based Method. CoRR abs/2112.08486 (2021) - 2020
- [b4]Usman Qamar, Muhammad Summair Raza:
Data Science Concepts and Techniques with Applications. Springer 2020, ISBN 978-981-15-6132-0, pp. 1-196 - [j31]Aleena Ahmad, Usman Qamar, Muhammad Summair Raza:
An optimized method to calculate approximations in Dominance based Rough Set Approach. Appl. Soft Comput. 97(Part B): 106731 (2020) - [c60]Iffat Fatima, Hina Anwar, Dietmar Pfahl, Usman Qamar:
Detection and Correction of Android-specific Code Smells and Energy Bugs: An Android Lint Extension. QuASoQ@APSEC 2020: 71-78 - [c59]Usman Ali, Usman Qamar, Kanwal Wahab, Khawaja Sarmad Arif:
A Knapsack Problem Based Algorithm for Local Level Management in Smart Grid. EIDWT 2020: 301-310 - [c58]Pakizah Saqib, Usman Qamar, Reda Ayesha Khan, Andleeb Aslam:
MF-GARF: Hybridizing Multiple Filters and GA Wrapper for Feature Selection of Microarray Cancer Datasets. ICACT 2020: 517-524 - [c57]Andleeb Aslam, Usman Qamar, Pakizah Saqib, Reda Ayesha Khan, Aiman Qadeer:
A Novel Framework For Sentiment Analysis Using Deep Learning. ICACT 2020: 525-529 - [c56]Aleena Ahmad, Usman Qamar, Muhammad Summair Raza:
Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach. ICACT 2020: 571-576 - [c55]Andleeb Aslam, Usman Qamar, Reda Ayesha Khan, Pakizah Saqib:
Improving K-Mean Method by Finding Initial Centroid Points. ICACT 2020: 624-627 - [c54]Iffat Fatima, Hina Anwar, Dietmar Pfahl, Usman Qamar:
Tool Support for Green Android Development: A Systematic Mapping Study. ICSOFT 2020: 409-417
2010 – 2019
- 2019
- [b3]Muhammad Summair Raza, Usman Qamar:
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition. Springer 2019, ISBN 978-981-32-9165-2, pp. 1-236 - [j30]Ayesha Shahnaz, Usman Qamar, Ayesha Khalid:
Using Blockchain for Electronic Health Records. IEEE Access 7: 147782-147795 (2019) - [j29]Muhammad Summair Raza, Usman Qamar:
A parallel approach to calculate lower and upper approximations in dominance based rough set theory. Appl. Soft Comput. 84 (2019) - [j28]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Enhanced cross-domain sentiment classification utilizing a multi-source transfer learning approach. Soft Comput. 23(14): 5431-5442 (2019) - [c53]Kanwal Wahab, Usman Qamar, Khawaja Sarmad Arif, Usman Ali:
Building a Biomedical Ontology for Chronic Liver Disease. CITS 2019: 1-5 - [c52]Andleeb Aslam, Usman Qamar, Reda Ayesha Khan, Pakizah Saqib, Aleena Ahmad, Aiman Qadeer:
Opinion Mining Using Live Twitter Data. CSE/EUC 2019: 36-39 - [c51]Reda Ayesha Khan, Usman Qamar, Andleeb Aslam, Pakizah Saqib, Aleena Ahmad:
Quality Framework for Ontologies Evaluation Based on Structural Characteristics. CSE/EUC 2019: 243-248 - [c50]Asma Shaheen, Usman Qamar, Aiman Khan Nazir, Raheela Bibi, Munazza Ansar, Iqra Zafar:
OOCQM: Object Oriented Code Quality Meter. CSII (selected papers) 2019: 149-163 - [c49]Anam Amjad, Usman Qamar:
UAMSA: Unified Approach for Multilingual Sentiment Analysis Using GATE. ECBS 2019: 25:1-25:5 - [c48]Khawaja Sarmad Arif, Usman Qamar, Kanwal Wahab, Muhammad Qasim Riaz:
Building a Biomedical Ontology for Respiratory Tract Infection. ICCCM 2019: 8-12 - [c47]Younas Khan, Usman Qamar, Nazish Yousaf, Aimal Khan:
Machine Learning Techniques for Heart Disease Datasets: A Survey. ICMLC 2019: 27-35 - [c46]Muhammad Asad, Usman Qamar, Babar Zeb, Aimal Khan, Younas Khan:
Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients. ICMLC 2019: 182-185 - [c45]Iqra Tahir, Usman Qamar, Hassan Abbas, Babar Zeb, Sana Abid:
Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy. ICMLC 2019: 197-203 - [c44]Muhammad Asad, Usman Qamar, Aimal Khan, Rahmat Ullah Safdar:
A Systematic Literature Review of Continuous Blood Glucose Monitoring and Suggesting the Quantity of Insulin or Artificial Pancreas (AP) for Diabetic Type 1 Patients. ICMLC 2019: 539-545 - [c43]Aiman Qadeer, Usman Qamar:
A Dynamic Ensemble Selection Framework Using Dynamic Weighting Approach. IntelliSys (1) 2019: 330-339 - [c42]Younas Khan, Usman Qamar, Muhammad Asad, Babar Zeb:
Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis. IntelliSys (1) 2019: 340-351 - [c41]Muhammad Asad, Younas Khan, Usman Qamar, Saba Bashir:
Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients. IntelliSys (2) 2019: 671-683 - [c40]Muhammad Asad, Usman Qamar:
A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) Using Artificial Neural Network (ANN). IntelliSys (2) 2019: 684-695 - [c39]Anila Umar, Usman Qamar:
Detection and Diagnosis of Psychological Disorders Through Decision Rule Set Formation. SERA 2019: 33-37 - [c38]Munazza Ansar, Usman Qamar, Raheela Bibi, Asma Shaheen:
Identification of Difficult English Words for Assisting Hearing Impaired Children in Learning Language. SERA 2019: 60-65 - [c37]Raheela Bibi, Usman Qamar, Munazza Ansar, Asma Shaheen:
Sentiment Analysis for Urdu News Tweets Using Decision Tree. SERA 2019: 66-70 - 2018
- [j27]Muhammad Summair Raza, Usman Qamar:
A parallel rough set based dependency calculation method for efficient feature selection. Appl. Soft Comput. 71: 1020-1034 (2018) - [j26]Muhammad Summair Raza, Usman Qamar:
Feature selection using rough set-based direct dependency calculation by avoiding the positive region. Int. J. Approx. Reason. 92: 175-197 (2018) - [j25]Saba Bashir, Usman Qamar, Farhan Hassan Khan:
WebMAC: A web based clinical expert system. Inf. Syst. Frontiers 20(5): 1135-1151 (2018) - [j24]Muhammad Summair Raza, Usman Qamar:
A heuristic based dependency calculation technique for rough set theory. Pattern Recognit. 81: 309-325 (2018) - [c36]Alia Fatima, Usman Qamar, Saad Rehman, Aiman Khan Nazir:
Incremental Wrapper Based Random Forest Gene Subset Selection for Tumor Discernment. DEXA Workshops 2018: 161-167 - [c35]Sadia Majeed, Usman Qamar, Aftab Farooq:
State of Art Techniques for Social Influence Analysis: A Systematic Literature Review. FIT 2018: 200-205 - [c34]Alia Fatima, Tayyaba Rasool, Usman Qamar:
GDGSE: Game Development with Global Software Engineering. GEM 2018: 1-9 - [c33]Fateh ur Rehman, Muhammad Abbas, Sajjad Murtaza, Wasi Haider Butt, Saad Rehman, Usman Qamar:
SimFiller. Similarity-Based Missing Values Filling Algorithm. ICDIM 2018: 77-81 - [c32]Madeha Arif, Usman Qamar, Farhan Hassan Khan, Saba Bashir:
A Survey of Customer Review Helpfulness Prediction Techniques. IntelliSys (1) 2018: 215-226 - [c31]Rabia Noureen, Usman Qamar, Farhan Hassan Khan, Iqra Muhammad:
InstaSent: A Novel Framework for Sentiment Analysis Based on Instagram Selfies. IntelliSys (1) 2018: 323-336 - [c30]Iqra Muhammad, Usman Qamar, Farhan Hassan Khan:
Temporal Spam Identification: A Multifaceted Approach to Identifying Review Spam. IntelliSys (2) 2018: 773-787 - [c29]Sidra Shafi, Usman Qamar:
[WiP] Web Services Classification Using an Improved Text Mining Technique. SOCA 2018: 210-215 - 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 - [j23]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) - [j22]Muhammad Summair Raza, Usman Qamar:
Redefining core preliminary concepts of classic Rough Set Theory for feature selection. Eng. Appl. Artif. Intell. 65: 375-387 (2017) - [j21]Asad Bukhari, Usman Qamar, Um-e-Ghazia:
URWF: user reputation based weightage framework for twitter micropost classification. Inf. Syst. E Bus. Manag. 15(3): 623-659 (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) - [c28]Qadeem Khan, Usman Qamar, Wasi Haider Butt, Saad Rehman:
Implementation and Analysis of Novel Clustering Algorithm Without Initial Value Selection for Software Architectural Styles Data Set. FIT 2017: 64-69 - [c27]Sundus Ayyaz, Usman Qamar:
Improving collaborative filtering by selecting an effective user neighborhood for recommender systems. ICIT 2017: 1244-1249 - [c26]Amna Noureen, Usman Qamar, Mubashir Ali:
Semantic analysis of social media and associated psychotic behavior. ICNC-FSKD 2017: 1621-1630 - [c25]Shaista Sabir, Usman Qamar, Tanveer Ahmed, Mubashir Ali:
A preconception gender assessment using data mining techniques based on implementation of natural laws & favoring factors. IML 2017: 5:1-5:8 - [c24]Adnan Ullah, Usman Qamar, Farhan Hassan Khan, Saba Bashir:
Dimensionality reduction approaches and evolving challenges in high dimensional data. IML 2017: 67:1-67:8 - [c23]Aamna Iqtidar, Abdul Wahab Muzaffar, Usman Qamar, Saad Rehman:
A biomedical ontology on genetic disease. ICC 2017: 67:1-67:6 - 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. Bus. Inf. Syst. Eng. 58(4): 249-259 (2016) - [j17]Saba Bashir, Usman Qamar, Farhan Hassan Khan:
A Multicriteria Weighted Vote-Based Classifier Ensemble for Heart Disease Prediction. Comput. Intell. 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. Cogn. Comput. 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 Syst. J. Knowl. Eng. 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. J. Biomed. 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. Sci. 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) - [c22]Sobh Zeb, Usman Qamar, Faiza Hussain:
Sentiment Analysis on User Reviews Through Lexicon and Rule-Based Approach. APWeb Workshops 2016: 55-63 - [c21]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 - [c20]Andleeb Shahnaz, Usman Qamar, Abdul Wahab Muzaffar:
Building a Core Biomedical Knowledge Base. BigDataService 2016: 283-285 - [c19]Muhammad Summair Raza, Usman Qamar:
A Rough Set Based Feature Selection Approach Using Random Feature Vectors. FIT 2016: 229-234 - [c18]Bushra Zafar, Michael Cochez, Usman Qamar:
Using Distributional Semantics for Automatic Taxonomy Induction. FIT 2016: 348-353 - [c17]Faiza Hussain, Usman Qamar:
Identification and Correction of Misspelled Drugs Names in Electronic Medical Records (EMR). ICEIS (2) 2016: 333-338 - [c16]Hiba Khalid, Mazhar Hameed, Usman Qamar:
Evolutionary Testing Using Particle Swarm Optimization in IOT Applications. IntelliSys (2) 2016: 351-358 - [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. Comput. Math. Methods Medicine 2015: 910423:1-910423:12 (2015) - [j8]Rozina Nisa, Usman Qamar:
A text mining based approach for web service classification. Inf. Syst. E Bus. Manag. 13(4): 751-768 (2015) - [j7]Farhan Hassan Khan, Usman Qamar, Saba Bashir:
Building Normalized SentiMI to enhance semi-supervised sentiment analysis. J. Intell. Fuzzy Syst. 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. Decis. Support Syst. 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. J. Commun. Networks 16(4): 397-406 (2014) - [j3]Usman Qamar:
A dissimilarity measure based Fuzzy c-means (FCM) clustering algorithm. J. Intell. Fuzzy Syst. 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
Coauthor Index
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