All Outputs (5)

CAM: A Combined Attention Model for Natural Language Inference (2018)
Conference Proceeding
Gajbhiye, A., Jaf, S., Al-Moubayed, N., Bradley, S., & McGough, A. S. (2018). CAM: A Combined Attention Model for Natural Language Inference. In N. Abe, H. Liu, C. Pu, X. Hu, N. Ahmed, M. Qiao, …J. Saltz (Eds.), 2018 IEEE International Conference on Big Data (Big Data) ; proceedings (1009-1014). https://doi.org/10.1109/bigdata.2018.8622057

Natural Language Inference (NLI) is a fundamental step towards natural language understanding. The task aims to detect whether a premise entails or contradicts a given hypothesis. NLI contributes to a wide range of natural language understanding appl... Read More about CAM: A Combined Attention Model for Natural Language Inference.

An Exploration of Dropout with RNNs for Natural Language Inference (2018)
Conference Proceeding
Gajbhiye, A., Jaf, S., Al-Moubayed, N., McGough, A. S., & Bradley, S. (2018). An Exploration of Dropout with RNNs for Natural Language Inference. In V. Kurková, Y. Manolopoulos, B. Hammer, L. S. Iliadis, & I. G. Maglogiannis (Eds.), Artificial neural networks and machine learning - ICANN 2018 : 27th international Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, proceedings. Part III (157-167). https://doi.org/10.1007/978-3-030-01424-7_16

Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the effectiveness at different layers and dropout rates in NLI models. In thi... Read More about An Exploration of Dropout with RNNs for Natural Language Inference.

Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition (2018)
Journal Article
Alabbas, M., Jaf, S., & Khudeyer, S. R. (2018). Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition. Journal of Chinese Language and Computing, 28(1), 1-12

There is a number of machine learning algorithms for recognizing Arabic characters. In this paper, we investigate a range of strategies for multiple machine learning algorithms for the task of Arabic characters recognition, where we are faced with im... Read More about Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition.

BotDet: A System for Real Time Botnet Command and Control Traffic Detection (2018)
Journal Article
Ghafir, I., Prenosil, V., Hammoudeh, M., Baker, T., Jabbar, S., Khalid, S., & Jaf, S. (2018). BotDet: A System for Real Time Botnet Command and Control Traffic Detection. IEEE Access, 6, 38947-38958. https://doi.org/10.1109/access.2018.2846740

Over the past decade, the digitization of services transformed the healthcare sector leading to a sharp rise in cybersecurity threats. Poor cybersecurity in the healthcare sector, coupled with high value of patient records attracted the attention of... Read More about BotDet: A System for Real Time Botnet Command and Control Traffic Detection.

Security Threats to Critical Infrastructure: The Human Factor (2018)
Journal Article
Ghafir, I., Saleem, J., Hammoudeh, M., Faour, H., Prenosil, V., Jaf, S., …Baker, T. (2018). Security Threats to Critical Infrastructure: The Human Factor. Journal of Supercomputing, 74(10), 4986-5002. https://doi.org/10.1007/s11227-018-2337-2

In the 21st century, globalisation made corporate boundaries invisible and difficult to manage. This new macroeconomic transformation caused by globalisation introduced new challenges for critical infrastructure management. By replacing manual tasks... Read More about Security Threats to Critical Infrastructure: The Human Factor.