Jakramate Bootkrajang

Orcid: 0000-0002-9158-1570

According to our database1, Jakramate Bootkrajang authored at least 37 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2025
PaSCoNT - Parallel Speech Corpus of Northern-central Thai for automatic speech recognition.
Comput. Speech Lang., 2025

2024
Heterogeneous sets in dimensionality reduction and ensemble learning.
Mach. Learn., April, 2024

Low-level feature image retrieval using representative images from minimum spanning tree clustering.
Multim. Tools Appl., January, 2024

Economic and financial news hybrid- classification based on category-associated feature set.
Intell. Data Anal., 2024

Enhancing Educational Strategy Through K-Means Clustering: A Study on Academic Departments.
Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering, 2024

EQAH: Edge-Based Quality Adaptation Heuristic for Video Streaming.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023
Globular Cluster Detection in M33 Using Multiple Views Representation Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022
Orchid classification using homogeneous ensemble of small deep convolutional neural network.
Mach. Vis. Appl., 2022

Towards an improved label noise proportion estimation in small data: a Bayesian approach.
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.
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.
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.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020
Towards instance-dependent label noise-tolerant classification: a probabilistic approach.
Pattern Anal. Appl., 2020

Boosting Ridge Regression for High Dimensional Data Classification.
CoRR, 2020

Patch Relational Covariance Distance Similarity Approach for Image Ranking in Content-Based Image Retrieval.
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.
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.
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

2019
Recognition of similar characters using gradient features of discriminative regions.
Expert Syst. Appl., 2019

Orchids Classification Using Spatial Transformer Network with Adaptive Scaling.
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.
Proceedings of the Progress in Computer Recognition Systems, 2019

2018
Recognition-based character segmentation for multi-level writing style.
Int. J. Document Anal. Recognit., 2018

Handwritten Character Recognition Using Active Semi-supervised Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System.
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.
Neurocomputing, 2016

Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective.
Evol. Comput., 2016

Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image.
Proceedings of the Digital Libraries: Knowledge, Information, and Data in an Open Access Society, 2016

2015
A generalised label noise model for classification.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Learning kernel logistic regression in the presence of class label noise.
Pattern Recognit., 2014

2013
Supervised learning with random labelling errors.
PhD thesis, 2013

Classification of mislabelled microarrays using robust sparse logistic regression.
Bioinform., 2013

Boosting in the presence of label noise.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Towards large scale continuous EDA: a random matrix theory perspective.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Label-Noise Robust Logistic Regression and Its Applications.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Multi-class classification in the presence of labelling errors.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
An XML Format for Sharing Evolutionary Algorithm Output and Analysis.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

2009
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009


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