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ORCIDJakramate Bootkrajang
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2020 – today
- 2025
[j13]Supawat Taerungruang, Phimphaka Taninpong
, Vataya Chunwijitra, Sumonmas Thatphithakkul, Sawit Kasuriya, Viroj Inthanon, Pawat Paksaranuwat, Salinee Thumronglaohapun, Nawapon Nakharutai, Papangkorn Inkeaw, Jakramate Bootkrajang:
PaSCoNT - Parallel Speech Corpus of Northern-central Thai for automatic speech recognition. Comput. Speech Lang. 89: 101692 (2025)- 2024
- [j12]Wilawan Yathongkhum, Yongyut Laosiritaworn, Jakramate Bootkrajang, Pucktada Treeratpituk, Jeerayut Chaijaruwanich:
Economic and financial news hybrid- classification based on category-associated feature set. Intell. Data Anal. 28(1): 185-201 (2024) - [j11]Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang:
Heterogeneous sets in dimensionality reduction and ensemble learning. Mach. Learn. 113(4): 1683-1704 (2024) - [j10]Piyavach Khunsongkiet, Jakramate Bootkrajang, Churee Techawut:
Low-level feature image retrieval using representative images from minimum spanning tree clustering. Multim. Tools Appl. 83(2): 3335-3356 (2024) - [c21]Aomsap Inkongngarm, Jakramate Bootkrajang, Samerkae Somhom, Areerat Trongratsameethong, Prasert Luekhong:
Enhancing Educational Strategy Through K-Means Clustering: A Study on Academic Departments. JCSSE 2024: 310-315 - 2023
- [c20]Taned Singlor, Phonphrm Thawatdamrongkit, Prapaporn Techa-angkoon, Chutipong Suwannajak, Jakramate Bootkrajang:
Globular Cluster Detection in M33 Using Multiple Views Representation Learning. IDEAL 2023: 323-331 - 2022
- [j9]Jakramate Bootkrajang, Jeerayut Chaijaruwanich:
Towards an improved label noise proportion estimation in small data: a Bayesian approach. Int. J. Mach. Learn. Cybern. 13(4): 851-867 (2022) - [j8]Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom:
Orchid classification using homogeneous ensemble of small deep convolutional neural network. Mach. Vis. Appl. 33(1): 17 (2022) - [c19]Nathakit Keawtoomla, Arinya Pongwat, Jakramate Bootkrajang:
Using Latent Dirichlet Allocation to investigate guest experience in Airbnb accommodation during COVID-19 pandemic in the United Kingdom. JCSSE 2022: 1-6 - 2021
- [c18]Suphakit Awiphan, Jakramate Bootkrajang, Kanin Poobai, Jiro Katto:
Mitigation of Cold Start Problem in Experience-Based Adaptive Streaming over NDN. GCCE 2021: 99-100 - [c17]Prapaporn Techa-angkoon, Nahathai Tanakul, Jakramate Bootkrajang, Worawit Kaewplik, Douangpond Loongkum, Chutipong Suwannajak:
Identification of Discriminative Features from Light Curves for Automatic Classification of Variable Stars. JCSSE 2021: 1-6 - 2020
- [j7]Jakramate Bootkrajang, Jeerayut Chaijaruwanich:
Towards instance-dependent label noise-tolerant classification: a probabilistic approach. Pattern Anal. Appl. 23(1): 95-111 (2020) - [c16]Suphakit Awiphan, Jakramate Bootkrajang, Jiro Katto:
Reinforcement Learning Based Adaptive Video Streaming on Named Data Networking. GCCE 2020: 405-406 - [c15]Pisol Ruenin, Jakramate Bootkrajang, Jakarin Chawachat:
A System to Estimate the Amount and Calories of Food that Elderly People in the Hospital Consume. IAIT 2020: 8:1-8:7 - [c14]Piyavach Khunsongkiet, Jakramate Bootkrajang, Churee Techawut:
Patch Relational Covariance Distance Similarity Approach for Image Ranking in Content-Based Image Retrieval. ICCCM 2020: 38-43 - [i2]Jakramate Bootkrajang:
Boosting Ridge Regression for High Dimensional Data Classification. CoRR abs/2003.11283 (2020)
2010 – 2019
- 2019
- [j6]Papangkorn Inkeaw, Jakramate Bootkrajang, Sanparith Marukatat, Teresa Gonçalves, Jeerayut Chaijaruwanich:
Recognition of similar characters using gradient features of discriminative regions. Expert Syst. Appl. 134: 120-137 (2019) - [c13]Jakramate Bootkrajang, Jakarin Chawachat, Eakkapap Trakulsanguan:
Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition. CORES 2019: 235-245 - [c12]Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom:
Orchids Classification Using Spatial Transformer Network with Adaptive Scaling. IDEAL (1) 2019: 1-10 - 2018
- [j5]Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich:
Recognition-based character segmentation for multi-level writing style. Int. J. Document Anal. Recognit. 21(1-2): 21-39 (2018) - [c11]Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonçalves, Jeerayut Chaijaruwanich:
Handwritten Character Recognition Using Active Semi-supervised Learning. IDEAL (1) 2018: 69-78 - 2017
- [c10]Kittikawin Lehsan, Jakramate Bootkrajang:
Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System. IDEAL 2017: 36-44 - 2016
- [j4]Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant:
Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective. Evol. Comput. 24(2): 255-291 (2016) - [j3]Jakramate Bootkrajang:
A generalised label noise model for classification in the presence of annotation errors. Neurocomputing 192: 61-71 (2016) - [c9]Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich:
Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image. ICADL 2016: 127-136 - 2015
- [c8]Jakramate Bootkrajang:
A generalised label noise model for classification. ESANN 2015 - 2014
- [j2]Jakramate Bootkrajang, Ata Kabán:
Learning kernel logistic regression in the presence of class label noise. Pattern Recognit. 47(11): 3641-3655 (2014) - 2013
- [b1]Jakramate Bootkrajang:
Supervised learning with random labelling errors. University of Birmingham, UK, 2013 - [j1]Jakramate Bootkrajang, Ata Kabán:
Classification of mislabelled microarrays using robust sparse logistic regression. Bioinform. 29(7): 870-877 (2013) - [c7]Ata Kabán, Jakramate Bootkrajang, Robert John Durrant:
Towards large scale continuous EDA: a random matrix theory perspective. GECCO 2013: 383-390 - [c6]Jakramate Bootkrajang, Ata Kabán:
Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. IDEAL 2013: 569-576 - [c5]Jakramate Bootkrajang, Ata Kabán:
Boosting in the presence of label noise. UAI 2013 - [i1]Jakramate Bootkrajang, Ata Kabán:
Boosting in the presence of label noise. CoRR abs/1309.6818 (2013) - 2012
- [c4]Jakramate Bootkrajang, Ata Kabán:
Label-Noise Robust Logistic Regression and Its Applications. ECML/PKDD (1) 2012: 143-158 - 2011
- [c3]Jakramate Bootkrajang, Ata Kabán:
Multi-class classification in the presence of labelling errors. ESANN 2011 - 2010
- [c2]Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori:
An XML Format for Sharing Evolutionary Algorithm Output and Analysis. SEAL 2010: 384-388
2000 – 2009
- 2009
- [c1]Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang:
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. GECCO 2009: 185-192
Coauthor Index
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