| Label-noise robust logistic regression and its applications J Bootkrajang, A Kabán Joint European conference on machine learning and knowledge discovery in …, 2012 | 133 | 2012 |
| Toward large-scale continuous EDA: A random matrix theory perspective A Kabán, J Bootkrajang, RJ Durrant Evolutionary computation 24 (2), 255-291, 2016 | 66 | 2016 |
| Learning kernel logistic regression in the presence of class label noise J Bootkrajang, A Kabán Pattern Recognition 47 (11), 3641-3655, 2014 | 45 | 2014 |
| Classification of mislabelled microarrays using robust sparse logistic regression J Bootkrajang, A Kabán Bioinformatics 29 (7), 870-877, 2013 | 45 | 2013 |
| Boosting in the presence of label noise J Bootkrajang, A Kabán arXiv preprint arXiv:1309.6818, 2013 | 33 | 2013 |
| A generalised label noise model for classification in the presence of annotation errors J Bootkrajang Neurocomputing 192, 61-71, 2016 | 31 | 2016 |
| Multi-class classification in the presence of labelling errors. J Bootkrajang, A Kabán ESANN, 345-350, 2011 | 24 | 2011 |
| Towards instance-dependent label noise-tolerant classification: a probabilistic approach J Bootkrajang, J Chaijaruwanich Pattern Analysis and Applications 23 (1), 95-111, 2020 | 13 | 2020 |
| Learning a label-noise robust logistic regression: Analysis and experiments J Bootkrajang, A Kabán International Conference on Intelligent Data Engineering and Automated …, 2013 | 12 | 2013 |
| Recognition-based character segmentation for multi-level writing style P Inkeaw, J Bootkrajang, P Charoenkwan, S Marukatat, SY Ho, ... International Journal on Document Analysis and Recognition (IJDAR) 21 (1), 21-39, 2018 | 11 | 2018 |
| Evolutionary hypernetwork classifiers for protein-protein interaction sentence filtering J Bootkrajang, S Kim, BT Zhang Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 8 | 2009 |
| Recognition of similar characters using gradient features of discriminative regions P Inkeaw, J Bootkrajang, S Marukatat, T Gonçalves, J Chaijaruwanich Expert Systems with Applications 134, 120-137, 2019 | 6 | 2019 |
| Supervised learning with random labelling errors J Bootkrajang University of Birmingham, 2013 | 3 | 2013 |
| Bus arrival time estimation for public transportation system using LSTM K Panyo, J Bootkrajang, P Inkeaw, J Chaijaruwanich 2020-5th International Conference on Information Technology (InCIT), 134-138, 2020 | 2 | 2020 |
| Orchids classification using spatial transformer network with adaptive scaling W Sarachai, J Bootkrajang, J Chaijaruwanich, S Somhom International Conference on Intelligent Data Engineering and Automated …, 2019 | 2 | 2019 |
| Least square reinforcement learning for solving inverted pendulum problem SN Panyakaew, P Inkeaw, J Bootkrajang, J Chaijaruwanich 2018 3rd International Conference on Computer and Communication Systems …, 2018 | 2 | 2018 |
| Rule-based page segmentation for palm leaf manuscript on color image P Inkeaw, J Bootkrajang, P Charoenkwan, S Marukatat, SY Ho, ... International Conference on Asian Digital Libraries, 127-136, 2016 | 2 | 2016 |
| Orchid classification using homogeneous ensemble of small deep convolutional neural network W Sarachai, J Bootkrajang, J Chaijaruwanich, S Somhom Machine Vision and Applications 33 (1), 1-13, 2022 | 1 | 2022 |
| Steam Trap Opening Sound Recognition P Damnong, P Taninpong, J Bootkrajang 2021 18th International Conference on Electrical Engineering/Electronics …, 2021 | 1 | 2021 |
| Reinforcement Learning Based Adaptive Video Streaming on Named Data Networking S Awiphan, J Bootkrajang, J Katto 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), 405-406, 2020 | 1 | 2020 |
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at cs.bham.ac.uk
