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ORCIDAzliza Mohd Ali
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2020 – today
- 2024
[j2]Muhammad Yunus Iqbal Basheer
, Azliza Mohd Ali, Nurzeatul Hamimah Abdul Hamid, Muhammad Azizi Mohd Ariffin, Rozianawaty Osman, Sharifalillah Nordin, Xiaowei Gu:
Autonomous anomaly detection for streaming data. Knowl. Based Syst. 284: 111235 (2024)- 2021
- [c7]Adi Aiman Bin Ramlan, Azliza Mohd Ali, Nurzeatul Hamimah Abdul Hamid, Rozianawaty Osman:
The Implementation of Reinforcement Learning Algorithm for AI Bot in Fighting Video Game. ISAMSR 2021: 96-100 - [c6]Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Nurzeatul Hamimah Abdul Hamid, Muhammad Azizi Mohd Ariffin, Rozianawaty Osman, Sharifalillah Nordin:
Detecting Anomaly in IoT Devices using Multi-Threaded Autonomous Anomaly Detection. ISAMSR 2021: 111-118 - 2020
- [c5]Sarah Larson, Vitaliy Popov, Azliza Mohd Ali, Parameswaran Ramanathan, Sarah A. Jung:
Healthcare Professionals' Perceptions of Telehealth: Analysis of Tweets from Pre- and During the COVID-19 Pandemic. ICQE 2020: 390-405
2010 – 2019
- 2018
- [b1]Azliza Mohd Ali:
Anomalous behaviour detection using heterogeneous data. Lancaster University, UK, 2018 - [j1]Azliza Mohd Ali, Plamen Angelov:
Anomalous behaviour detection based on heterogeneous data and data fusion. Soft Comput. 22(10): 3187-3201 (2018) - 2017
- [c4]Xiaofeng Wang, Azliza Mohd Ali, Plamen Angelov:
Gender and Age Classification of Human Faces for Automatic Detection of Anomalous Human Behaviour. CYBCONF 2017: 1-6 - 2016
- [c3]Xiaowei Gu, Plamen P. Angelov, Azliza Mohd Ali, William A. Gruver, Georgi Gaydadjiev:
Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream. EAIS 2016: 169-175 - [c2]Azliza Mohd Ali, Plamen Angelov, Xiaowei Gu:
Detecting Anomalous Behaviour Using Heterogeneous Data. UKCI 2016: 253-273 - 2013
- [c1]Shuzlina Abdul Rahman, Sofianita Mutalib, Nur Amira Khanafi, Azliza Mohd Ali:
Exploring Feature Selection and Support Vector Machine in Text Categorization. CSE 2013: 1101-1104
Coauthor Index
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