Journal Articles

• Ali, A.R. and Budka, M., 2021. An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. Proceedings of the International Joint Conference on Neural Networks, 2021-July.
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Conferences

• Ali, A.R., 2020. Multi-Dialect Arabic Speech Recognition. Proceedings of the International Joint Conference on Neural Networks.
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• Ali, A.R., Budka, M. and Gabrys, B., 2019. Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11671 LNAI, 66-79.
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• Ali, A.R., Budka, M. and Gabrys, B., 2019. A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11671 LNAI, 93-106.
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• Ali, A., 2018. Cognitive Computing to Optimize IT Services. In: 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) 16-18 July 2018 Berkeley, CA, USA. , 54-60 IEEE.
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• Ali, A.R., Gabrys, B. and Budka, M., 2018. Cross-domain Meta-learning for Time-series Forecasting. Procedia Computer Science, 126, 9-18.
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Reports

• Abbas, A., Budka, M. and Gabrys, B., 2015. A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems.. Bournemouth University.
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Theses

• Abbas, A., 2020. Meta-level learning for the effective reduction of model search space. PhD Thesis. Bournemouth University, Faculty of Science and Technology.
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