Stephan Reiff-Marganiec
| Name | Stephan Reiff-Marganiec |
|---|---|
| Job title | Head of School of Computing and Engineering |
| Research institute | College of Science and Engineering |
Research outputs
Natural Language Processing and Information Systems
Métais, E., Meziane, F., Sugumaran, V., Manning, W. and Reiff-Marganiec, S. (ed.) 2023. Natural Language Processing and Information Systems. Switzerland Springer.A unified graph model based on molecular data binning for disease subtyping
Hassan Zada, M., Yuan, B, Khan, W., Anjum, A., Reiff-Marganiec, S. and Saleem, R. 2022. A unified graph model based on molecular data binning for disease subtyping. Journal of Biomedical Informatics. pp. 1-24. https://doi.org/10.1016/j.jbi.2022.104187Learning Disease Causality Knowledge from Web of Health Data
Yu, H. and Reiff-Marganiec, S. 2022. Learning Disease Causality Knowledge from Web of Health Data. International journal on semantic web and information systems. 18 (1), pp. 1-19. https://doi.org/10.4018/IJSWIS.297145Recommender Systems Evaluator: A Framework for Evaluating the Performance of Recommender Systems
dos Santos, Paulo V.G., Tardiole Kuehne, Bruno, Batista, Bruno G., Leite, Dionisio M., Peixoto, Maycon L.M., Moreira, Edmilson Marmo and Reiff-Marganiec, Stephan 2021. Recommender Systems Evaluator: A Framework for Evaluating the Performance of Recommender Systems. in: Springer.Performance evaluation of machine learning techniques for fault diagnosis in vehicle fleet tracking modules
Sepulevene, Luis, Drummond, Isabela, Kuehne, Bruno Tardiole, Frinhani, Rafael, Filho, Dionisio Leite, Peixoto, Maycon, Reiff-Marganiec, Stephan and Batista, Bruno 2021. Performance evaluation of machine learning techniques for fault diagnosis in vehicle fleet tracking modules. The Computer Journal. https://doi.org/10.1093/comjnl/bxab047Targeted ensemble machine classification approach for supporting IOT enabled skin disease detection
Yu, Hong Qing and Reiff-Marganiec, Stephan 2021. Targeted ensemble machine classification approach for supporting IOT enabled skin disease detection. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3069024Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)
Zada, Muhammad Sadiq Hassan, Yuan, Bo, Anjum, Ashiq, Azad, Muhammad Ajmal, Khan, Wajahat Ali and Reiff-Marganiec, Stephan 2020. Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). IEEE. https://doi.org/10.1109/bdcat50828.2020.00028A repairing missing activities approach with succession relation for event logs
Liu, Jie, Xu, Jiuyun, Zhang, Ruru and Reiff-Marganiec, Stephan 2020. A repairing missing activities approach with succession relation for event logs. Knowledge and Information Systems. https://doi.org/10.1007/s10115-020-01524-6A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem
Azevedo, Leonildo Jose de Melo de, Estrella, Julio C., Toledo, Claudia F. Motta and Reiff-Marganiec, Stephan 2020. A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3006171Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm
Martins de Oliveira, Edvard, Estrella, Júlio Cézar, Botazzo Delbem, Alexandre Claudio, Souza Pardo, Mário Henrique, Guzzo da Costa, Fausto, Defelicibus, Alexandre and Reiff‐Marganiec, Stephan 2020. Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm. Software Practice and Experience. 50 (6), pp. 899-924. https://doi.org/10.1002/spe.28081155
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