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M. Omair Shafiq

M. Omair Shafique – Omair Shafiq 0001

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affiliation: Carleton University, Ottawa, Canada

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2015
[b1]
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M. Omair Shafiq:
Semantically Formalized Logging and Advanced Analytics for Enhanced Monitoring and Management of Large-scale Applications. University of Calgary, Alberta, Canada, 2015

Journal Articles

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2024
[j28]
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Hongzhi Zhang, M. Omair Shafiq:
Survey of transformers and towards ensemble learning using transformers for natural language processing. J. Big Data 11(1): 25 (2024)
2023
[j27]
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Rami Ibrahim, M. Omair Shafiq:
Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions. ACM Comput. Surv. 55(10): 206:1-206:37 (2023)
[j26]
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Chen Zhou, Masoud Barati, Omair Shafiq:
A compliance-based architecture for supporting GDPR accountability in cloud computing. Future Gener. Comput. Syst. 145: 104-120 (2023)
2022
[j25]
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Md. Riyadh, M. Omair Shafiq:
GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data. Appl. Artif. Intell. 36(1) (2022)
[j24]
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Archika Sharma, M. Omair Shafiq:
A Comprehensive Artificial Intelligence Based User Intention Assessment Model from Online Reviews and Social Media. Appl. Artif. Intell. 36(1) (2022)
[j23]
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Muhammad Muneeb, Zeeshan Raza, Irfan Ul Haq, M. Omair Shafique:
SmartCon: A Blockchain-Based Framework for Smart Contracts and Transaction Management. IEEE Access 10: 10719-10730 (2022)
[j22]
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Jawad-ur-Rehman Chughtai, Irfan Ul Haq, M. Omair Shafiq, Muhammad Muneeb:
Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble. IEEE Access 10: 98127-98139 (2022)
[j21]
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Thankgod Obasi, M. Omair Shafiq:
CARD-B: A stacked ensemble learning technique for classification of encrypted network traffic. Comput. Commun. 190: 110-125 (2022)
[j20]
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Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
Differentially private self-normalizing neural networks for adversarial robustness in federated learning. Comput. Secur. 116: 102631 (2022)
[j19]
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Alexis Amezaga Hechavarria, M. Omair Shafiq:
A modified attention mechanism powered by Bayesian Network for user activity analysis and prediction. Data Knowl. Eng. 140: 102034 (2022)
[j18]
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M. Najmul Islam Farooqui, Muhammad Mubashir Khan, Junaid Arshad, Omair Shafiq:
An empirical investigation of performance challenges within context-aware content sharing for vehicular ad hoc networks. Trans. Emerg. Telecommun. Technol. 33(10) (2022)
[j17]
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Zhaowei Ma, Li Zhu, Xiantao Jiang, F. Richard Yu, Omair Shafiq, Jeremy James:
A practical solution for blockchain-secured sharing of trustworthy traffic information in vehicular ad hoc networks. Int. J. Sens. Networks 39(1): 18-33 (2022)
[j16]
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Rami Ibrahim, M. Omair Shafiq:
Augmented Score-CAM: High resolution visual interpretations for deep neural networks. Knowl. Based Syst. 252: 109287 (2022)
[j15]
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Noureen Zafar, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, Omair Shafiq:
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas. Sensors 22(9): 3348 (2022)
2021
[j14]
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Abdul Rehman, Summra Saleem, Muhammad Usman Ghani, Saira Jabeen, M. Omair Shafiq:
Scene Recognition by Joint Learning of DNN from Bag of Visual Words and Convolutional DCT Features. Appl. Artif. Intell. 35(9): 623-641 (2021)
[j13]
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Anum Mushtaq, Irfan Ul Haq, Muhammad Usman Imtiaz, Asifullah Khan, Omair Shafiq:
Traffic Flow Management of Autonomous Vehicles Using Deep Reinforcement Learning and Smart Rerouting. IEEE Access 9: 51005-51019 (2021)
[j12]
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Zeeshan Raza, Irfan Ul Haq, Muhammad Muneeb, M. Omair Shafiq:
Energy Efficient Multiprocessing Solo Mining Algorithms for Public Blockchain Systems. Sci. Program. 2021: 9996132:1-9996132:13 (2021)
2020
[j11]
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Omar Ibrahim Bani-Taha, M. Omair Shafiq:
Combining the richness of GIS techniques with visualisation tools to better understand the spatial distribution of data - a case study of Chicago City crime analysis. Int. J. Big Data Intell. 7(1): 29-46 (2020)
[j10]
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Jingyi Shen, M. Omair Shafiq:
Short-term stock market price trend prediction using a comprehensive deep learning system. J. Big Data 7(1): 66 (2020)
2019
[j9]
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Rami Ibrahim, M. Omair Shafiq:
Extended results from the measurement and analysis of safety in a large city. Int. J. Big Data Intell. 6(2): 86-101 (2019)
[j8]
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Rami Ibrahim, M. Omair Shafiq:
Detecting taxi movements using Random Swap clustering and sequential pattern mining. J. Big Data 6: 39 (2019)
2018
[j7]
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Beenish A. Akram, Ali Hammad Akbar, M. Omair Shafiq:
HybLoc: Hybrid Indoor Wi-Fi Localization Using Soft Clustering-Based Random Decision Forest Ensembles. IEEE Access 6: 38251-38272 (2018)
[j6]
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Razi Iqbal, Talal Ashraf Butt, M. Omair Shafique, Manar Wasif Abu Talib, Tariq Umer:
Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles. IEEE Access 6: 58182-58194 (2018)
2015
[j5]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
On personalizing Web search using social network analysis. Inf. Sci. 314: 55-76 (2015)
2014
[j4]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Log based business process engineering using fuzzy web service discovery. Knowl. Based Syst. 60: 1-9 (2014)
2007
[j3]
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Dieter Fensel, Reto Krummenacher, M. Omair Shafiq, Eva Kühn, Johannes Riemer, Ying Ding, Bernd Draxler:
TSC - Triple Space Computing. Elektrotech. Informationstechnik 124(1-2): 31-38 (2007)
2006
[j2]
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M. Omair Shafiq, Dieter Fensel, Hiroki Suguri, Arshad Ali:
A first step towards enabling Interoperability between Software Agents and Semantic Web Services: Multi Agent Systems adapting Web Services Standards. Int. J. Interoperability Bus. Inf. Syst. 2: 97-118 (2006)
2005
[j1]
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M. Omair Shafiq, Hafiz Farooq Ahmad, Hiroki Suguri, Arshad Ali:
Autonomous Semantic Grid: Principles of Autonomous Decentralized Systems for Grid Computing. IEICE Trans. Inf. Syst. 88-D(12): 2640-2650 (2005)

Conference and Workshop Papers

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2023
[c71]
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Hongzhi Zhang, Omair Shafiq:
Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data. Canadian AI 2023
[c70]
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  - conf/icmla/JoojiliHSSCA23
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Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid:
Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. ICMLA 2023: 1114-1119
[c69]
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Hongzhi Zhang, M. Omair Shafiq:
ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation. ICMLA 2023: 1120-1125
[c68]
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  - conf/ifip12/RiyadhS23
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Md. Riyadh, M. Omair Shafiq:
Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models. AIAI (2) 2023: 425-437
[c67]
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Alexis Amezaga Hechavarria, Nader Joojili, Ahmed Abdelmoaty, M. Omair Shafiq, Akram Bin Sediq, Mats Zachrison, Hatem Abou-Zeid:
Feature Engineering for Highly Irregular Network Traffic Prediction. VCC 2023: 80-85
2022
[c66]
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Cathy H. Zhang, M. Omair Shafiq:
A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications. IEEE Big Data 2022: 6125-6134
[c65]
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Lei Zhu, Zhizhong Zhang, Peng Lin, Omair Shafiq, Yu Zhang, F. Richard Yu:
Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing. GLOBECOM 2022: 4583-4588
[c64]
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Md. Riyadh, M. Omair Shafiq:
Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. ICMLA 2022: 140-147
2021
[c63]
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Abdul Hameed Azeemi, Muhammad Hamza Sohail, Talha Zubair, Muaz Maqbool, Irfan Younas, Omair Shafiq:
RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds. AALTD@ECML/PKDD 2021: 170-185
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Md. Riyadh, M. Omair Shafiq:
Towards Multi-class Sentiment Analysis With Limited Labeled Data. IEEE BigData 2021: 4955-4964
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Alexis Amezaga Hechavarria, M. Omair Shafiq:
Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution. ICMLA 2021: 682-687
2020
[c60]
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Thankgod Obasi, M. Omair Shafiq:
An experimental study of different machine and deep learning techniques for classification of encrypted network traffic. IEEE BigData 2020: 4690-4699
[c59]
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Rana Abou Khamis, M. Omair Shafiq, Ashraf Matrawy:
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization. ICC 2020: 1-7
[c58]
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Archika Sharma, M. Omair Shafiq:
Predicting purchase probability of retail items using an ensemble learning approach and historical data. ICMLA 2020: 723-728
2019
[c57]
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Thankgod Obasi, M. Omair Shafiq:
Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases. IEEE BigData 2019: 2393-2402
[c56]
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Jingyi Shen, Olga Baysal, M. Omair Shafiq:
Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering. DASC/PiCom/DataCom/CyberSciTech 2019: 1023-1030
[c55]
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Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
Analyzing Adversarial Attacks against Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM 2019: 1-6
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Rami Ibrahim, M. Omair Shafiq:
On Predicting Taxi Movements Modes in Porto City Using Classification and Periodic Pattern Mining. HPCC/SmartCity/DSS 2019: 1197-1204
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Jingyi Shen, M. Omair Shafiq:
Learning Mobile Application Usage - A Deep Learning Approach. ICMLA 2019: 287-292
[c52]
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  - conf/trustcom/YangS19
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Yibing Yang, M. Omair Shafiq:
Identifying High Value Users in Twitter Based on Text Mining Approaches. TrustCom/BigDataSE 2019: 634-641
2018
[c51]
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Rami Ibrahim, M. Omair Shafiq:
Towards a New Approach to Empower Periodic Pattern Mining for Massive Data using Map-Reduce. IEEE BigData 2018: 2206-2215
[c50]
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  - conf/healthcom/FekriS18
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Maryam Fekri, M. Omair Shafiq:
Deep Convolutional Neural Network Learning for Activity Recognition using real-life sensor's data in smart devices. HealthCom 2018: 1-6
[c49]
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Rami Ibrahim, M. Omair Shafiq:
Towards a New Approach for Empowering the MR-DBSCAN Clustering for Massive Data Using Quadtree. HPCC/SmartCity/DSS 2018: 91-98
[c48]
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  - conf/icbk/HamiltonS18
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William Hamilton, M. Omair Shafiq:
Opponent Resource Prediction in StarCraft Using Imperfect Information. ICBK 2018: 368-375
[c47]
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Abdihakim Mao, M. Omair Shafiq:
On the Analysis of a Public Dataset for Diabetes. ICDIM 2018: 88-93
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Rami Ibrahim, M. Omair Shafiq:
Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips. ICDIM 2018: 130-135
[c45]
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Jingyi Shen, M. Omair Shafiq:
Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach. ICMLA 2018: 572-577
[c44]
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Tayyaba Sana, Omair Shafiq:
A Natural Language Based Approach to Generate Document Stores. INTAP 2018: 363-368
[c43]
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Yibing Yang, M. Omair Shafiq:
Large Scale and Parallel Sentiment Analysis Based on Label Propagation in Twitter Data. TrustCom/BigDataSE 2018: 1791-1798
2017
[c42]
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M. Omair Shafiq, Eric Torunski:
Towards MapReduce based Bayesian deep learning network for monitoring big data applications. IEEE BigData 2017: 2112-2121
[c41]
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Rami Ibrahim, M. Omair Shafiq:
On the Measurement and Analysis of Safety in a Large City. DASC/PiCom/DataCom/CyberSciTech 2017: 1068-1075
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Eric Torunski, M. Omair Shafiq, Anthony D. Whitehead:
Code style analytics for the automatic setting of formatting rules in IDEs: A solution to the Tabs vs. Spaces Debate. ICDIM 2017: 6-14
[c39]
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Rami Ibrahim, M. Omair Shafiq:
Measurement and analysis of citizens requests to government for non-emergency services. ICDIM 2017: 286-291
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M. Omair Shafiq:
Integrated Analytics for Application Management using Stream Clustering and Semantics. ICEIS (1) 2017: 280-287
[c37]
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M. Omair Shafiq, Maryam Fekri, Rami Ibrahim:
MapReduce Based Classification for Fault Detection in Big Data Applications. ICMLA 2017: 637-642
2016
[c36]
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M. Omair Shafiq:
Event segmentation using MapReduce based big data clustering. IEEE BigData 2016: 1857-1866
[c35]
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M. Omair Shafiq, Eric Torunski:
A Parallel K-Medoids Algorithm for Clustering based on MapReduce. ICMLA 2016: 502-507
2015
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Reducing search space for Web Service ranking using semantic logs and Semantic FP-Tree based association rule mining. ICSC 2015: 1-8
2014
[c33]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Reducing problem space using Bayesian classification on semantic logs for enhanced application monitoring and management. ICCI*CC 2014: 296-304
[c32]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Handling incomplete data using semantic logging based Social Network Analysis Hexagon for effective application monitoring and management. ASONAM 2014: 634-641
[c31]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Frequent Pattern Mining Using Semantic FP-Growth for Effective Web Service Ranking. ICWS 2014: 725-727
[c30]
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Benoit Le Queau, M. Omair Shafiq, Reda Alhajj:
Analyzing Alzheimer's disease gene expression dataset using clustering and association rule mining. IRI 2014: 283-290
[c29]
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Abra Gurnett, Robin Besson, M. Omair Shafiq, Reda Alhajj:
Analyzing immediate correlations between names and pop culture of North America in the 21st century. IRI 2014: 442-449
2012
[c28]
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Connie Yau, Mark Straight, Rahul Bir, Omar Addam, M. Omair Shafiq, Reda Alhajj:
Examining social networks between educational institutions, industrial partners, and the Canadian government. IRI 2012: 664-671
2011
[c27]
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Harold Boley, M. Omair Shafiq, Derek Smith, Taylor Michael Osmun:
The Social Semantic Subweb of Virtual Patient Support Groups. CSWS 2011: 1-18
[c26]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
On the Social Aspects of Personalized Ranking for Web Services. HPCC 2011: 86-93
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Freddy Poon, Thomas Chin, Matt Bentrovato, M. Omair Shafiq, Alan Chia-Lung Chen, Flouris Triant, Jon G. Rokne, Reda Alhajj:
Semantically enhanced matchmaking of consumers and providers: a Canadian real estate case study. iiWAS 2011: 198-205
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Joe Strathern, Samer Awadh, Samir Chokshi, M. Omair Shafiq, Reda Alhajj:
Research 2.0: Research-supporting features of World Wide Web. IRI 2011: 52-57
2010
[c23]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne:
Community Aware Personalized Web Search. ASONAM 2010: 351-355
[c22]
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M. Omair Shafiq, Reda Alhajj, Jon G. Rokne, Ioan Toma:
Light-weight semantics and Bayesian Classification: A hybrid technique for dynamic Web Service discovery. IRI 2010: 121-125
[c21]
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Harold Boley, Adrian Paschke, M. Omair Shafiq:
RuleML 1.0: The Overarching Specification of Web Rules. RuleML 2010: 162-178
2008
[c20]
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Ioan Toma, Tobias Bürger, M. Omair Shafiq, Daniel Dögl:
GRISINO - An Integrated Infrastructure for Semantic Web Services, Grid Computing and Intelligent Objects. ESWC 2008: 869-873
[c19]
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M. Omair Shafiq, François Scharffe, Daniel Wutke, Germán Toro del Valle:
Resolving Data Heterogeneity Issues in Open Distributed Communication Middleware. ICIW 2008: 494-499
[c18]
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Maciej Zaremba, Tomas Vitvar, Jacek Kopecký, M. Omair Shafiq:
WSMX Middleware for Dynamic Discovery in B2B Integration. ICSC 2008: 496-497
2007
[c17]
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M. Omair Shafiq:
On the Communication and Coordination Issues of Semantic Web Services using Triple Space Compunting. KWEPSY 2007
[c16]
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M. Omair Shafiq, Matthew Moran, Emilia Cimpian, Adrian Mocan, Michal Zaremba, Dieter Fensel:
Investigating Semantic Web Service Execution Environments: A Comparison between WSMX and OWL-S Tools. ICIW 2007: 31
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M. Omair Shafiq, Michal Zaremba, Dieter Fensel:
On communication and coordination issues of Semantic Web Services. ICWS 2007: 553-560
2006
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Johannes Riemer, Francisco Martín-Recuerda, Ying Ding, Martin Murth, Brahmananda Sapkota, Reto Krummenacher, M. Omair Shafiq, Dieter Fensel, Eva Kühn:
Triple Space Computing: Adding Semantics to Space-Based Computing. ASWC 2006: 300-306
[c13]
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M. Omair Shafiq, François Scharffe, Reto Krummenacher, Ying Ding, Dieter Fensel:
Data Mediation Support for Triple Space Computing. CollaborateCom 2006
[c12]
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Ioan Toma, Tobias Bürger, M. Omair Shafiq, Daniel Dögl, Wernher Behrendt, Dieter Fensel:
GRISINO: Combining Semantic Web Services, Intelligent Content Objects and Grid Computing. e-Science 2006: 39
[c11]
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M. Omair Shafiq, Reto Krummenacher, Francisco Martín-Recuerda, Ying Ding, Dieter Fensel:
Triple Space Computing Middleware for Semantic Web Services. EDOC Workshops 2006: 15
[c10]
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M. Omair Shafiq, Ying Ding, Dieter Fensel:
Bridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services. EDOC 2006: 85-96
[c9]
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Yihong Ding, David W. Embley, Ying Ding, M. Omair Shafiq:
Avoiding Deceptive Annotations in the Semantic Web. SAAW@ISWC 2006
[c8]
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M. Omair Shafiq:
Triple Space Computing for Semantic Web Services - A PhD Roadmap. ISWC 2006: 989-991
2005
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Hafiz Farooq Ahmad, Hiroki Suguri, Arshad Ali, Sarmad Malik, Muazzam Mugal, M. Omair Shafiq, Amina Tariq, Amna Basharat:
Scalable fault tolerant Agent Grooming Environment: SAGE. AAMAS 2005: 125-126
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Steven Willmott, Martin D. Beer, Richard Hill, Dominic A. P. Greenwood, Monique Calisti, Ian D. Mathieson, Lin Padgham, Christine Reese, Kolja Lehmann, Thorsten Scholz, M. Omair Shafiq:
NETDEMO: openNet networked agents demonstration. AAMAS 2005: 129-130
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M. Omair Shafiq, Arshad Ali, Amina Tariq, Amna Basharat, Hafiz Farooq Ahmad, Hiroki Suguri, Fawad Nazir:
A distributed services based conference planner application using software agents, grid services and web services. AAMAS 2005: 137-138
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Hafiz Farooq Ahmad, Hiroki Suguri, M. Omair Shafiq, Arshad Ali:
Mobile Network End Host Remote Monitoring Agent. International Conference on Internet Computing 2005: 164-173
[c3]
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M. Omair Shafiq, Arshad Ali, Hafiz Farooq Ahmad, Hiroki Suguri:
Multi Agent Systems for Enhancement of Grid/Web Services Platforms. ISWS 2005: 121-131
[c2]
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M. Omair Shafiq, Arshad Ali, Ejaz Ahmad, Hafiz Farooq Ahmad, Hiroki Suguri:
Detection and Prevention of Distributed Denial of Services Attacks on Wide Area Networks by Collaborative Effort of Software Agents. Parallel and Distributed Computing and Networks 2005: 123-128
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M. Omair Shafiq, Arshad Ali, Hafiz Farooq Ahmad, Hiroki Suguri:
AgentWeb Gateway - a middleware for dynamic integration of Multi Agent System and Web Services Framework. WETICE 2005: 267-270

Parts in Books or Collections

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2013
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M. Omair Shafiq, Tamer N. Jarada, Panagiotis Karampelas, Reda Alhajj, Jon G. Rokne:
Integrating Online Social Network Analysis in Personalized Web Search. The Influence of Technology on Social Network Analysis and Mining 2013: 589-613
2009
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Tobias Bürger, Ioan Toma, M. Omair Shafiq, Daniel Dögl, Andreas Gruber:
GRISINO - A Semantic Web Services, Grid Computing and Intelligent Objects Integrated Infrastructure. Networked Knowledge - Networked Media - Integrating Knowledge Management 2009: 113-128

Editorship

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2010
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Monica Palmirani, M. Omair Shafiq, Enrico Francesconi, Fabio Vitali:
Proceedings of the RuleML-2010 Challenge, at the 4th International Web Rule Symposium, Washington, DC, USA, October, 21-23, 2010. CEUR Workshop Proceedings 649, CEUR-WS.org 2010 [contents]
2008
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M. Omair Shafiq:
Proceedings of the Workshop on Semantics for Web Services, SemWS 2006, Zurich, Switzerland, December 4-6, 2006. CEUR Workshop Proceedings 316, CEUR-WS.org 2008 [contents]
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Raul Garcia-Castro, Asunción Gómez-Pérez, Charles J. Petrie, Emanuele Della Valle, Ulrich Küster, Michal Zaremba, M. Omair Shafiq:
Proceedings of the 6th International Workshop on Evaluation of Ontology-based Tools and the Semantic Web Service Challenge (EON-SWSC-2008), Tenerife, Spain, June 1-2, 2008. CEUR Workshop Proceedings 359, CEUR-WS.org 2008 [contents]

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2022
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Anum Mushtaq, Irfan Ul Haq, Muhammad Azeem Sarwar, Asifullah Khan, Omair Shafiq:
Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing. CoRR abs/2206.14608 (2022)
2021
[i6]
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Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning. CoRR abs/2101.03218 (2021)
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Abdul Hameed Azeemi, Muhammad Hamza Sohail, Talha Zubair, Muaz Maqbool, Irfan Younas, Omair Shafiq:
RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds. CoRR abs/2103.04390 (2021)
2020
[i4]
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  - journals/corr/abs-2011-06725
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Olakunle Ibitoye, Ashraf Matrawy, M. Omair Shafiq:
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment. CoRR abs/2011.06725 (2020)
2019
[i3]
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Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks. CoRR abs/1905.05137 (2019)
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  - journals/corr/abs-1910-14107
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Rana Abou Khamis, M. Omair Shafiq, Ashraf Matrawy:
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization. CoRR abs/1910.14107 (2019)
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  - journals/corr/abs-1911-02621
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Olakunle Ibitoye, Rana Abou Khamis, Ashraf Matrawy, M. Omair Shafiq:
The Threat of Adversarial Attacks on Machine Learning in Network Security - A Survey. CoRR abs/1911.02621 (2019)

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