Jakramate Bootkrajang

According to our database, Jakramate Bootkrajang authored at least 34 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Heterogeneous sets in dimensionality reduction and ensemble learning.

Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang

Mach. Learn., April, 2024

Low-level feature image retrieval using representative images from minimum spanning tree clustering.

Piyavach Khunsongkiet, Jakramate Bootkrajang, Churee Techawut

Multim. Tools Appl., January, 2024

Economic and financial news hybrid- classification based on category-associated feature set.

Wilawan Yathongkhum, Yongyut Laosiritaworn, Jakramate Bootkrajang, Pucktada Treeratpituk, Jeerayut Chaijaruwanich

Intell. Data Anal., 2024

2023

Globular Cluster Detection in M33 Using Multiple Views Representation Learning.

Taned Singlor, Phonphrm Thawatdamrongkit, Prapaporn Techa-angkoon, Chutipong Suwannajak, Jakramate Bootkrajang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022

Orchid classification using homogeneous ensemble of small deep convolutional neural network.

Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom

Mach. Vis. Appl., 2022

Towards an improved label noise proportion estimation in small data: a Bayesian approach.

Jakramate Bootkrajang, Jeerayut Chaijaruwanich

Int. J. Mach. Learn. Cybern., 2022

Using Latent Dirichlet Allocation to investigate guest experience in Airbnb accommodation during COVID-19 pandemic in the United Kingdom.

Nathakit Keawtoomla, Arinya Pongwat, Jakramate Bootkrajang

Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022

2021

Identification of Discriminative Features from Light Curves for Automatic Classification of Variable Stars.

Prapaporn Techa-angkoon, Nahathai Tanakul, Jakramate Bootkrajang, Worawit Kaewplik, Douangpond Loongkum, Chutipong Suwannajak

Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021

Mitigation of Cold Start Problem in Experience-Based Adaptive Streaming over NDN.

Suphakit Awiphan, Jakramate Bootkrajang, Kanin Poobai, Jiro Katto

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020

Towards instance-dependent label noise-tolerant classification: a probabilistic approach.

Jakramate Bootkrajang, Jeerayut Chaijaruwanich

Pattern Anal. Appl., 2020

Boosting Ridge Regression for High Dimensional Data Classification.

Jakramate Bootkrajang

CoRR, 2020

Patch Relational Covariance Distance Similarity Approach for Image Ranking in Content-Based Image Retrieval.

Piyavach Khunsongkiet, Jakramate Bootkrajang, Churee Techawut

Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020

A System to Estimate the Amount and Calories of Food that Elderly People in the Hospital Consume.

Pisol Ruenin, Jakramate Bootkrajang, Jakarin Chawachat

Proceedings of the IAIT 2020: The 11th International Conference on Advances in Information Technology, 2020

Reinforcement Learning Based Adaptive Video Streaming on Named Data Networking.

Suphakit Awiphan, Jakramate Bootkrajang, Jiro Katto

Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

2019

Recognition of similar characters using gradient features of discriminative regions.

Papangkorn Inkeaw, Jakramate Bootkrajang, Sanparith Marukatat, Teresa Gonçalves, Jeerayut Chaijaruwanich

Expert Syst. Appl., 2019

Orchids Classification Using Spatial Transformer Network with Adaptive Scaling.

Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition.

Jakramate Bootkrajang, Jakarin Chawachat, Eakkapap Trakulsanguan

Proceedings of the Progress in Computer Recognition Systems, 2019

2018

Recognition-based character segmentation for multi-level writing style.

Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich

Int. J. Document Anal. Recognit., 2018

Handwritten Character Recognition Using Active Semi-supervised Learning.

Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonçalves, Jeerayut Chaijaruwanich

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017

Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System.

Kittikawin Lehsan, Jakramate Bootkrajang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016

A generalised label noise model for classification in the presence of annotation errors.

Jakramate Bootkrajang

Neurocomputing, 2016

Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective.

Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant

Evol. Comput., 2016

Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image.

Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich

Proceedings of the Digital Libraries: Knowledge, Information, and Data in an Open Access Society, 2016

2015

A generalised label noise model for classification.

Jakramate Bootkrajang

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Learning kernel logistic regression in the presence of class label noise.

Jakramate Bootkrajang, Ata Kabán

Pattern Recognit., 2014

2013

Supervised learning with random labelling errors.

Jakramate Bootkrajang

PhD thesis, 2013

Classification of mislabelled microarrays using robust sparse logistic regression.

Jakramate Bootkrajang, Ata Kabán

Bioinform., 2013

Boosting in the presence of label noise.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Towards large scale continuous EDA: a random matrix theory perspective.

Ata Kabán, Jakramate Bootkrajang, Robert John Durrant

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Label-Noise Robust Logistic Regression and Its Applications.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Multi-class classification in the presence of labelling errors.

Jakramate Bootkrajang, Ata Kabán

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

An XML Format for Sharing Evolutionary Algorithm Output and Analysis.

Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

2009

Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering.

Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2009