Dr Amin Karami
| Name | Dr Amin Karami |
|---|---|
| ORCID | https://orcid.org/0000-0003-3635-513X |
| Job title | Associate Professor |
| Email address | a.karami@uel.ac.uk |
| Research institute | Architecture, Computing & Engineering |
Research outputs
Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data
Amirhosseini, M. H., Ayodele, A. L. and Karami, A. 2024. Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. IS'24: 12th IEEE International Conference on Intelligent Systems. Varna, Bulgaria 29 - 31 Aug 2024 IEEE. https://doi.org/10.1109/IS61756.2024.10705185Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing
Karami, A., Shemshaki, M. and Ghazanfar, M. 2024. Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing. Data Intelligence. p. In Press. https://doi.org/10.3724/2096-7004.di.2024.0055Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark
Chaudhury, M., Karami, A. and Ghazanfar, M. A. 2022. Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark. Electronics. 11 (16), p. 2567. https://doi.org/10.3390/electronics11162567Designing a Cost-Efficient Network for a Small Enterprise
Jafari, F., Karami, A. and Osemwengie, L. 2021. Designing a Cost-Efficient Network for a Small Enterprise. SAI Computing Conference 2021. Online 15 - 16 Jul 2021 Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_14A novel centroids initialisation for K-means clustering in the presence of benign outliers
Karami, A., Ur Rehman, S. and Ghazanfar, M. 2020. A novel centroids initialisation for K-means clustering in the presence of benign outliers. International Journal of Data Analysis Techniques and Strategies. 12 (4), pp. 287-298. https://doi.org/10.1504/IJDATS.2020.111498Stock market prediction using machine learning classifiers and social media, news
Khan, W., Ghazanfar, M., Azam, M. A., Karami, A., Alyoubi, K. H. and Alfakeeh, A. S. 2020. Stock market prediction using machine learning classifiers and social media, news. Journal of Ambient Intelligence and Humanized Computing. 13, pp. 3433-3456. https://doi.org/10.1007/s12652-020-01839-wThe Application of a Semantic-Based Process Mining Framework on a Learning Process Domain
Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network
Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities
Karami, A. 2018. An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities. Expert Systems with Applications. 108, pp. 36-60. https://doi.org/10.1016/j.eswa.2018.04.038A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks
Siddiqui, A., Karami, A. and Johnson, M. O. 2017. A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks. International Journal of Computer Applications. 174 (Art. 4). https://doi.org/10.5120/ijca2017915376Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options
Karami, A. and Johansson, Ronnie 2013. Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. Journal of Information Science and Engineering. 30 (2), pp. 519-534.A Framework for Uncertainty-Aware Visual Analytics in Big Data
Karami, A. 2015. A Framework for Uncertainty-Aware Visual Analytics in Big Data. CEUR Workshop Proceedings. 1510, pp. 146-155.ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network
Karami, A. 2015. ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network. Journal of Network and Computer Applications. 56 (Oct.), pp. 1-18. https://doi.org/10.1016/j.jnca.2015.05.017An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2015. An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking. Computer Networks. 80 (April), pp. 51-65. https://doi.org/10.1016/j.comnet.2015.01.020A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2014. A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking. Neurocomputing. 151 (3), pp. 1262-1282. https://doi.org/10.1016/j.neucom.2014.11.003A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks
Karami, A. and Guerrero-Zapata, Manel 2014. A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks. Neurocomputing. 149 (Part C), pp. 1253-1269. https://doi.org/10.1016/j.neucom.2014.08.070Choosing DBSCAN parameters automatically using differential evolution
Karami, A. and Johansson, Ronnie 2014. Choosing DBSCAN parameters automatically using differential evolution. International Journal of Computer Applications. 91 (7), pp. 1-11. https://doi.org/10.5120/15890-50594484
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