Bakirov, R.; Fay, D. and Gabrys, B.; “Automated adaptation strategies for stream learning” Machine Learning, 2021.
Majumdar, A.; Bakirov, R.; Hodges D.; Scott, S.; Rees, T. “Machine Learning for Understanding and Predicting Injuries in Soccer” Sports Medicine, 2021 (submitted)
Belvedere M.; Bennett, M.R.; Marty, D.; Budka, M.; Reynolds, S.C.; Bakirov, R. “Stat-tracks and mediotypes: powerful tools for modern ichnology based on 3D models” PeerJ 6: e4247, 2018.
Bakirov, R., Gabrys, B. and Fay, D., “Multiple Adaptive Mechanisms for Data-driven Soft Sensors”, Computers and Chemical Engineering, , vol. 96, pp. 42–54, 2017.
Conferences and workshops
Bakirov, R.; Gabrys, B.; Fay, D. “On-the-fly learning of adaptive strategies with bandit algorithms” ICML Workshop on Automated Machine Learning, 2021 (submitted)
Bakirov, R.; Gabrys, B.; Fay, D. “Generic adaptation strategies for automated machine learning” ECML PKDD 2019 Automating Data Science workshop.
Budka, D.; Budka, M.; Bennett, M.R.; Bakirov, R. “Capture and Analysis Of 3d Footwear Evidence: New Horizons And Opportunities” Forensic Science International. 277: 172. Aug 2017
Budka, D.; Bennett, M.R.; Budka, M.; Bakirov, R. “Comparing Footwear Evidence and the Power of the 3rd Dimension” Forensic Science International. 277: 162-163. Aug 2017
Bakirov, R.; Gabrys, B. and Fay, D. “Augmenting Adaptation with Retrospective Model Correction for Non-Stationary Regression Problems”. In: 2016 International Joint Conference on Neural Networks 24-29 July 2016 Vancouver, Canada.
Bakirov, R.; Gabrys, B. and Fay, D. “On Sequences of Different Adaptive Mechanisms in Non-Stationary Regression Problems.” In: 2015 International Joint Conference on Neural Networks 12 July-17 July 2015 Killarney, Ireland.
Schroeder, J.W.; Martin-Salvador, M.; Bakirov R.; Straus U. “Tactile Satellite Navigation System: Using haptic technology to enhance the sense of orientation and direction”, in: 66th International Astronautical Congress, 2015, Jerusalem, Israel.
Bakirov, R.; Gabrys, B. “Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms” In: Artificial Intelligence Applications and Innovations, 646-656, 30 September-2 October 2013, Paphos, Cyprus.
Bakirov, R.; Stich, C. “Data mining on the installed base information: Possibilities and Implementations”– In: ICAART 2011 pp. 649 - 654, 28 January - 30 January 2011, Rome, Italy.
Bakirov, R. “Multiple adaptive mechanisms for predictive models on streaming data” PhD Thesis. Bournemouth University, Faculty of Science and Technology, 2017.