Shadi Shahoud
Orcid: 0000-0002-3505-9438
According to our database1,
Shadi Shahoud
authored at least 11 papers
between 2018 and 2023.
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Bibliography
2023
Facilitating and Enhancing the Performance of Model Selection for Energy Time Series Forecasting in Cluster Computing Environments.
PhD thesis, 2023
2022
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies.
Internet Things, 2021
A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics.
Internet Things, 2021
2020
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.
Trans. Large Scale Data Knowl. Centered Syst., 2020
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics.
CoRR, 2020
A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020
Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020
2019
A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics.
Proceedings of the Parallel Processing and Applied Mathematics, 2019
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
2018
A generic distributed microservices and container based framework for metaheuristic optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018