Jakramate Bootkrajang
Jakramate Bootkrajang
Department of Computer Science, Chiang Mai University
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Cited by
Cited by
Label-noise robust logistic regression and its applications
J Bootkrajang, A KabŠn
Joint European conference on machine learning and knowledge discovery in†…, 2012
Toward large-scale continuous EDA: A random matrix theory perspective
A KabŠn, J Bootkrajang, RJ Durrant
Evolutionary computation 24 (2), 255-291, 2016
Learning kernel logistic regression in the presence of class label noise
J Bootkrajang, A KabŠn
Pattern Recognition 47 (11), 3641-3655, 2014
Classification of mislabelled microarrays using robust sparse logistic regression
J Bootkrajang, A KabŠn
Bioinformatics 29 (7), 870-877, 2013
Boosting in the presence of label noise
J Bootkrajang, A KabŠn
arXiv preprint arXiv:1309.6818, 2013
A generalised label noise model for classification in the presence of annotation errors
J Bootkrajang
Neurocomputing 192, 61-71, 2016
Multi-class classification in the presence of labelling errors.
J Bootkrajang, A KabŠn
ESANN, 345-350, 2011
Towards instance-dependent label noise-tolerant classification: a probabilistic approach
J Bootkrajang, J Chaijaruwanich
Pattern Analysis and Applications 23 (1), 95-111, 2020
Learning a label-noise robust logistic regression: Analysis and experiments
J Bootkrajang, A KabŠn
International Conference on Intelligent Data Engineering and Automated†…, 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
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
Recognition of similar characters using gradient features of discriminative regions
P Inkeaw, J Bootkrajang, S Marukatat, T GonÁalves, J Chaijaruwanich
Expert Systems with Applications 134, 120-137, 2019
Supervised learning with random labelling errors
J Bootkrajang
University of Birmingham, 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
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
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
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
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
Steam Trap Opening Sound Recognition
P Damnong, P Taninpong, J Bootkrajang
2021 18th International Conference on Electrical Engineering/Electronics†…, 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
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