M. Omair Shafiq

Orcid: 0000-0002-1859-8296

Affiliations:
  • Carleton University, Ottawa, Canada


According to our database1, M. Omair Shafiq authored at least 106 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Survey of transformers and towards ensemble learning using transformers for natural language processing.
J. Big Data, December, 2024

2023
A compliance-based architecture for supporting GDPR accountability in cloud computing.
Future Gener. Comput. Syst., August, 2023

Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions.
ACM Comput. Surv., 2023

Feature Engineering for Highly Irregular Network Traffic Prediction.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas.
Sensors, 2022

Augmented Score-CAM: High resolution visual interpretations for deep neural networks.
Knowl. Based Syst., 2022

A practical solution for blockchain-secured sharing of trustworthy traffic information in vehicular ad hoc networks.
Int. J. Sens. Networks, 2022

An empirical investigation of performance challenges within context-aware content sharing for vehicular ad hoc networks.
Trans. Emerg. Telecommun. Technol., 2022

A modified attention mechanism powered by Bayesian Network for user activity analysis and prediction.
Data Knowl. Eng., 2022

Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing.
CoRR, 2022

Differentially private self-normalizing neural networks for adversarial robustness in federated learning.
Comput. Secur., 2022

CARD-B: A stacked ensemble learning technique for classification of encrypted network traffic.
Comput. Commun., 2022

SmartCon: A Blockchain-Based Framework for Smart Contracts and Transaction Management.
IEEE Access, 2022

Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble.
IEEE Access, 2022

A Comprehensive Artificial Intelligence Based User Intention Assessment Model from Online Reviews and Social Media.
Appl. Artif. Intell., 2022

GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data.
Appl. Artif. Intell., 2022

Towards Emotion Cause Generation in Natural Language Processing using Deep Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2022

A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Energy Efficient Multiprocessing Solo Mining Algorithms for Public Blockchain Systems.
Sci. Program., 2021

DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning.
CoRR, 2021

Traffic Flow Management of Autonomous Vehicles Using Deep Reinforcement Learning and Smart Rerouting.
IEEE Access, 2021

Scene Recognition by Joint Learning of DNN from Bag of Visual Words and Convolutional DCT Features.
Appl. Artif. Intell., 2021

Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Towards Multi-class Sentiment Analysis With Limited Labeled Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020
Short-term stock market price trend prediction using a comprehensive deep learning system.
J. Big Data, 2020

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., 2020

A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment.
CoRR, 2020

Predicting purchase probability of retail items using an ensemble learning approach and historical data.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

An experimental study of different machine and deep learning techniques for classification of encrypted network traffic.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Detecting taxi movements using Random Swap clustering and sequential pattern mining.
J. Big Data, 2019

Extended results from the measurement and analysis of safety in a large city.
Int. J. Big Data Intell., 2019

The Threat of Adversarial Attacks on Machine Learning in Network Security - A Survey.
CoRR, 2019

Identifying High Value Users in Twitter Based on Text Mining Approaches.
Proceedings of the 18th IEEE International Conference On Trust, 2019

Learning Mobile Application Usage - A Deep Learning Approach.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

On Predicting Taxi Movements Modes in Porto City Using Classification and Periodic Pattern Mining.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Analyzing Adversarial Attacks against Deep Learning for Intrusion Detection in IoT Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles.
IEEE Access, 2018

HybLoc: Hybrid Indoor Wi-Fi Localization Using Soft Clustering-Based Random Decision Forest Ensembles.
IEEE Access, 2018

Large Scale and Parallel Sentiment Analysis Based on Label Propagation in Twitter Data.
Proceedings of the 17th IEEE International Conference On Trust, 2018

A Natural Language Based Approach to Generate Document Stores.
Proceedings of the Intelligent Technologies and Applications, 2018

Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

On the Analysis of a Public Dataset for Diabetes.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Opponent Resource Prediction in StarCraft Using Imperfect Information.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Towards a New Approach for Empowering the MR-DBSCAN Clustering for Massive Data Using Quadtree.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Deep Convolutional Neural Network Learning for Activity Recognition using real-life sensor's data in smart devices.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Towards a New Approach to Empower Periodic Pattern Mining for Massive Data using Map-Reduce.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
MapReduce Based Classification for Fault Detection in Big Data Applications.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Integrated Analytics for Application Management using Stream Clustering and Semantics.
Proceedings of the ICEIS 2017, 2017

Code style analytics for the automatic setting of formatting rules in IDEs: A solution to the Tabs vs. Spaces Debate.
Proceedings of the Twelfth International Conference on Digital Information Management, 2017

Measurement and analysis of citizens requests to government for non-emergency services.
Proceedings of the Twelfth International Conference on Digital Information Management, 2017

On the Measurement and Analysis of Safety in a Large City.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Towards MapReduce based Bayesian deep learning network for monitoring big data applications.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A Parallel K-Medoids Algorithm for Clustering based on MapReduce.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Event segmentation using MapReduce based big data clustering.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Semantically Formalized Logging and Advanced Analytics for Enhanced Monitoring and Management of Large-scale Applications.
PhD thesis, 2015

On personalizing Web search using social network analysis.
Inf. Sci., 2015

Reducing search space for Web Service ranking using semantic logs and Semantic FP-Tree based association rule mining.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2014
Log based business process engineering using fuzzy web service discovery.
Knowl. Based Syst., 2014

Analyzing Alzheimer's disease gene expression dataset using clustering and association rule mining.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Analyzing immediate correlations between names and pop culture of North America in the 21st century.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Frequent Pattern Mining Using Semantic FP-Growth for Effective Web Service Ranking.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Handling incomplete data using semantic logging based Social Network Analysis Hexagon for effective application monitoring and management.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Reducing problem space using Bayesian classification on semantic logs for enhanced application monitoring and management.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2013
Integrating Online Social Network Analysis in Personalized Web Search.
Proceedings of the Influence of Technology on Social Network Analysis and Mining, 2013

2012
Examining social networks between educational institutions, industrial partners, and the Canadian government.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

2011
Research 2.0: Research-supporting features of World Wide Web.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Semantically enhanced matchmaking of consumers and providers: a Canadian real estate case study.
Proceedings of the iiWAS'2011, 2011

On the Social Aspects of Personalized Ranking for Web Services.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

The Social Semantic Subweb of Virtual Patient Support Groups.
Proceedings of the 3rd Canadian Semantic Web Symposium (CSWS2011), 2011

2010
RuleML 1.0: The Overarching Specification of Web Rules.
Proceedings of the Semantic Web Rules - International Symposium, 2010

Light-weight semantics and Bayesian Classification: A hybrid technique for dynamic Web Service discovery.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Community Aware Personalized Web Search.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
GRISINO - A Semantic Web Services, Grid Computing and Intelligent Objects Integrated Infrastructure.
Proceedings of the Networked Knowledge - Networked Media, 2009

2008
WSMX Middleware for Dynamic Discovery in B2B Integration.
Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

Resolving Data Heterogeneity Issues in Open Distributed Communication Middleware.
Proceedings of the Third International Conference on Internet and Web Applications and Services, 2008

GRISINO - An Integrated Infrastructure for Semantic Web Services, Grid Computing and Intelligent Objects.
Proceedings of the Semantic Web: Research and Applications, 2008

2007
TSC - Triple Space Computing.
Elektrotech. Informationstechnik, 2007

On communication and coordination issues of Semantic Web Services.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

Investigating Semantic Web Service Execution Environments: A Comparison between WSMX and OWL-S Tools.
Proceedings of the International Conference on Internet and Web Applications and Services (ICIW 2007), 2007

On the Communication and Coordination Issues of Semantic Web Services using Triple Space Compunting.
Proceedings of the KWEPSY 2007 Knowledge Web PhD Symposium 2007, 2007

2006
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., 2006

Triple Space Computing for Semantic Web Services - A PhD Roadmap.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

Avoiding Deceptive Annotations in the Semantic Web.
Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW2006) located at the 5th International Semantic Web Conference ( ISWC 2006 ) 6th November 2006, 2006

Triple Space Computing Middleware for Semantic Web Services.
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

Bridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services.
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

GRISINO: Combining Semantic Web Services, Intelligent Content Objects and Grid Computing.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

Data Mediation Support for Triple Space Computing.
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

Triple Space Computing: Adding Semantics to Space-Based Computing.
Proceedings of the Semantic Web, 2006

2005
Autonomous Semantic Grid: Principles of Autonomous Decentralized Systems for Grid Computing.
IEICE Trans. Inf. Syst., 2005

AgentWeb Gateway - a middleware for dynamic integration of Multi Agent System and Web Services Framework.
Proceedings of the 14th IEEE International Workshops on Enabling Technologies (WETICE 2005), 2005

Detection and Prevention of Distributed Denial of Services Attacks on Wide Area Networks by Collaborative Effort of Software Agents.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005

Multi Agent Systems for Enhancement of Grid/Web Services Platforms.
Proceedings of The 2005 International Symposium on Web Services and Applications, 2005

Mobile Network End Host Remote Monitoring Agent.
Proceedings of The 2005 International Conference on Internet Computing, 2005

NETDEMO: openNet networked agents demonstration.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

A distributed services based conference planner application using software agents, grid services and web services.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Scalable fault tolerant Agent Grooming Environment: SAGE.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005


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