Journal Articles

• Bakirov, R., Gabrys, B. and Fay, D., 2017. Multiple adaptive mechanisms for data-driven soft sensors. Computers and Chemical Engineering, 96, 42-54.
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• Bakirov, R., Gabrys, B. and Fay, D.. Generic adaptation strategies for automated machine learning.
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Conferences

• Budka, D., Bennett, M.R., Budka, M. and Bakirov, R., 2017. COMPARING FOOTWEAR EVIDENCE AND THE POWER OF THE 3RD DIMENSION. 162-163.
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• Budka, D., Budka, M., Bennett, M.R. and Bakirov, R., 2017. CAPTURE AND ANALYSIS OF 3D FOOTWEAR EVIDENCE: NEW HORIZONS AND OPPORTUNITIES. 172.
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• Bakirov, R., Gabrys, B. and Fay, D., 2016. Augmenting adaptation with retrospective model correction for non-stationary regression problems. 771-779.
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• Bakirov, R., Gabrys, B. and Fay, D., 2015. On Sequences of Different Adaptive Mechanisms in Non-Stationary Regression Problems. In: 2015 International Joint Conference on Neural Networks 12-17 July 2015 Killarney, Ireland.
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• Bakirov, R. and Gabrys, B., 2013. Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms. Springer Berlin Heidelberg, 646-656.
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Theses

• Bakirov, 2017. Multiple adaptive mechanisms for predictive models on streaming data. PhD Thesis. Bournemouth University, Faculty of Science and Technology.
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Memberships

• British Computer Society, Member (2018-),