2023
Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
2022
A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation.
IEEE Trans. Ind. Informatics, 2022
Evaluation of the trends in jobs and skill-sets using data analytics: a case study.
J. Big Data, 2022
2020
Utilizing data science techniques to analyze skill and demand changes in healthcare occupations: case study on USA and UAE healthcare sector.
Soft Comput., 2020
Explainable AI as a Social Microscope: A Case Study on Academic Performance.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
2019
Evaluating Skills Dimensions: Case Study on Occupational Changes in the UAE.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
2018
No Fragile Family Left Behind - Targeted Indicators of Academic Performance.
CoRR, 2018
Ethnic Diversity Increases Scientific Impact.
CoRR, 2018
Intelligent Monitoring of Transformer Insulation Using Convolutional Neural Networks.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018
Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018
Discovering Similarities in Malware Behaviors by Clustering of API Call Sequences.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Semiautomatic System Domain Data Analysis: A Smart Grid Feasibility Case Study.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Data mining approach to monitoring the requirements of the job market: A case study.
Inf. Syst., 2017
Online Prediction via Continuous Artificial Prediction Markets.
IEEE Intell. Syst., 2017
Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE.
Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017
Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
A Semi-automatic Approach for Tech Mining and Interactive Taxonomy Visualization.
Proceedings of the Data Analytics for Renewable Energy Integration, 2016
Cybersecurity for Smart Cities: A Brief Review.
Proceedings of the Data Analytics for Renewable Energy Integration, 2016
Security in Mobile Computing: Attack Vectors, Solutions, and Challenges.
Proceedings of the Mobile Networks and Management - 8th International Conference, 2016
Enhanced SVR ensembles for wind power prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Argument Visualization and Narrative Approaches for Collaborative Spatial Decision Making and Knowledge Construction: A Case Study for an Offshore Wind Farm Project.
Proceedings of the Data Analytics for Renewable Energy Integration, 2015
Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Soil Property Prediction: An Extreme Learning Machine Approach.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Software Clone Detection Using Clustering Approach.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
A Differential Sequence Component Protection Scheme for Microgrids With Inverter-Based Distributed Generators.
IEEE Trans. Smart Grid, 2014
NLP-KAOS for Systems Goal Elicitation: Smart Metering System Case Study.
IEEE Trans. Software Eng., 2014
Detecting click fraud in online advertising: a data mining approach.
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J. Mach. Learn. Res., 2014
Automatic Rooftop Detection Using a Two-Stage Classification.
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014
Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014
Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014
Document Versioning Using Feature Space Distances.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Augmented Query Strategies for Active Learning in Stream Data Mining.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Handling class imbalance in customer behavior prediction.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014
2013
Optimal Protection Coordination for Microgrids With Grid-Connected and Islanded Capability.
IEEE Trans. Ind. Electron., 2013
A Novel Ensemble Learning-Based Approach for Click Fraud Detection in Mobile Advertising.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013
An ensemble model for day-ahead electricity demand time series forecasting.
Proceedings of the Fourth International Conference on Future Energy Systems, 2013
2012
Semantic distances for technology landscape visualization.
J. Intell. Inf. Syst., 2012
2011
Optimal Sizing of Thyristor-Controlled Impedance for Smart Grids With Multiple Configurations.
IEEE Trans. Smart Grid, 2011
2010
Statistical and Entropy Based Human Motion Analysis.
KSII Trans. Internet Inf. Syst., 2010
2009
String alignment for automated document versioning.
Knowl. Inf. Syst., 2009
Asymmetric information distances for automated taxonomy construction.
Knowl. Inf. Syst., 2009
2008
Text plagiarism detection method based on path patterns.
Int. J. Bus. Intell. Data Min., 2008
An iterative approach to enhanced traffic signal optimization.
Expert Syst. Appl., 2008
2007
Simultaneous Mobility: Probability of Lost Binding Updates and Mean Time to Occurrence.
Int. J. Bus. Data Commun. Netw., 2007
Novel Features for Brain-Computer Interfaces.
Comput. Intell. Neurosci., 2007
Simultaneous Mobility: A New Analytical Approach.
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007
Simple Forward Method for Plagiarism Detection.
Proceedings of the MoMM'2007, 2007
2004
Can we learn anything from single-channel unaveraged MEG data?
Neural Comput. Appl., 2004
2001
Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data.
Proceedings of the Artificial Neural Networks, 2001