| Multiple adaptive mechanisms for data-driven soft sensors R Bakirov, B Gabrys, D Fay Computers & Chemical Engineering 96, 42-54, 2017 | 47 | 2017 |
| Machine learning for understanding and predicting injuries in football A Majumdar, R Bakirov, D Hodges, S Scott, T Rees Sports Medicine-Open 8 (1), 73, 2022 | 45 | 2022 |
| Stat-tracks and mediotypes: powerful tools for modern ichnology based on 3D models M Belvedere, MR Bennett, D Marty, M Budka, SC Reynolds, R Bakirov PeerJ 6, e4247, 2018 | 43* | 2018 |
| Automated adaptation strategies for stream learning R Bakirov, D Fay, B Gabrys Machine Learning 110 (6), 1429-1462, 2021 | 18* | 2021 |
| On sequences of different adaptive mechanisms in non-stationary regression problems R Bakirov, B Gabrys, D Fay 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 16 | 2015 |
| Investigation of expert addition criteria for dynamically changing online ensemble classifiers with multiple adaptive mechanisms R Bakirov, B Gabrys Artificial Intelligence Applications and Innovations: 9th IFIP WG 12.5 …, 2013 | 9 | 2013 |
| DigTrace academic M Budka, R Bakirov, S Deng, PL Falkingham, SC Reynolds, MR Bennett | 6 | 2016 |
| Augmenting adaptation with retrospective model correction for non-stationary regression problems R Bakirov, B Gabrys, D Fay 2016 International Joint Conference on Neural Networks (IJCNN), 771-779, 2016 | 5 | 2016 |
| A multi-season machine learning approach to examine the training load and injury relationship in professional soccer A Majumdar, R Bakirov, D Hodges, S McCullagh, T Rees Journal of Sports Analytics 10 (1), 47-65, 2024 | 3 | 2024 |
| Multiple adaptive mechanisms for predictive models on streaming data. R Bakirov Bournemouth University, 2017 | 2 | 2017 |
| Data Mining on the Installed Base Information - Possibilities and Implementations. R Bakirov, C Stich ICAART, 649-654, 2011 | 2 | 2011 |
| Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control T Reich, R Bakirov, D Budka, D Kelly, J Smith, T Richardson, M Budka The Journal of Clinical Endocrinology & Metabolism, dgae642, 2024 | | 2024 |
| Response to “Comment on: Machine Learning for Understanding and Predicting Injuries in Football” A Majumdar, R Bakirov, T Rees Sports medicine-open 10 (1), 85, 2024 | | 2024 |
| Female motorsport fan engagement on social media-based brand communities E Lick, R Bakirov, TA Ramjaun Journal of Digital & Social Media Marketing 12 (1), 28-51, 2024 | | 2024 |
| Towards an automated app-based dose prescription of carbimazole for hyperthyroidism patients T Reich, R Bakirov, D Budka, D Kelly, J Smith, T Richardson, M Budka Endocrine Abstracts 86, 2022 | | 2022 |
| Data-driven Automatic Attribution of Azerbaijani Flat Woven Carpets R Bakirov, R Taghieva, N Eyvazli, U Mammadzada Proceedings of the 4th ACM International workshop on Structuring and …, 2022 | | 2022 |
| On-the-fly learning of adaptive strategies with bandit algorithms R Bakirov, D Fay, B Gabrys 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | | 2021 |
| Generic adaptation strategies for automated machine learning R Bakirov, B Gabrys, D Fay Automating Data Science workshop, ECML PKDD 2019, 2019 | | 2019 |
| CAPTURE AND ANALYSIS OF 3D FOOTWEAR EVIDENCE: NEW HORIZONS AND OPPORTUNITIES D Budka, M Budka, MR Bennett, R Bakirov FORENSIC SCIENCE INTERNATIONAL 277, 172-172, 2017 | | 2017 |
| Tactile satellite navigation system: Using haptic technology to enhance the sense of orientation and direction US Jan Walter Schroeder, Manuel Martin-Salvador, Rashid Bakirov 66th International Astronautical Congress 5, 3364-3371, 2015 | | 2015 |
Bogdan GabrysProf. of Data Science, University of Technology SydneyVerified email at uts.edu.au
