Kitsuchart Pasupa

According to our database1, Kitsuchart Pasupa authored at least 65 papers between 2006 and 2023.

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Bibliography

2023
CowXNet: An automated cow estrus detection system.
Expert Syst. Appl., 2023

2022
SELM: Siamese extreme learning machine with application to face biometrics.
Neural Comput. Appl., 2022

Hybrid Deep Learning Models for Thai Sentiment Analysis.
Cogn. Comput., 2022

Revisiting Echo State Networks for Continuous Gesture Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022

An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Image enhancement in embedded devices for internet of things.
Concurr. Comput. Pract. Exp., 2021

Analysis of Dust Exposure Impact on Cardiovascular Diseases Risk Prediction in Bangkok, Thailand.
Proceedings of the 13th International Conference on Knowledge and Smart Technology, 2021

Improvement of Text-Independent Speaker Verification Using Gender-like Feature.
Proceedings of the 13th International Conference on Knowledge and Smart Technology, 2021

Learning to Drive with Deep Reinforcement Learning.
Proceedings of the 13th International Conference on Knowledge and Smart Technology, 2021

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning.
Proceedings of the IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021, 2021

2020
Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification.
Multim. Tools Appl., 2020

Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling.
Eng. Appl. Artif. Intell., 2020

Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification.
CoRR, 2020

Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique.
BMC Bioinform., 2020

Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images.
IEEE Access, 2020

Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network.
IEEE Access, 2020

Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App.
Proceedings of the 12th International Conference on Knowledge and Smart Technology, 2020

SME User Classification from Click Feedback on a Mobile Banking Apps.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hybrid Training of Speaker and Sentence Models for One-Shot Lip Password.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

CDMC'19 - The 10th International Cybersecurity Data Mining Competition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hybrid Loss for Improving Classification Performance with Unbalanced Data.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
A hybrid approach to building face shape classifier for hairstyle recommender system.
Expert Syst. Appl., 2019

Selection of a Minimal Number of Significant Porcine SNPs by an Information Gain and Genetic Algorithm Hybrid Model.
CoRR, 2019

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP.
IEEE Access, 2019

Robust and Unified VLC Decoding System for Square Wave Quadrature Amplitude Modulation Using Deep Learning Approach.
IEEE Access, 2019

Square Wave Quadrature Amplitude Modulation for Visible Light Communication Using Image Sensor.
IEEE Access, 2019

Detecting Text in Manga Using Stroke Width Transform.
Proceedings of the 11th International Conference on Knowledge and Smart Technology, 2019

A New Approach to Automatic Heat Detection of Cattle in Video.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Empirical Monocomponent Image Decomposition.
IEEE Access, 2018

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction.
IEEE Access, 2018

The Disaster Victim Locating System with a Smartphone Without a Telecommunication System.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018

Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images.
Neurocomputing, 2017

Hypothesis testing based on observation from Thai sentiment classification.
Artif. Life Robotics, 2017

Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification?
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Sentiment analysis of Thai children stories.
Artif. Life Robotics, 2016

A coefficient comparison of weighted similarity extreme learning machine for drug screening.
Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016

Clustering-Based Weighted Extreme Learning Machine for Classification in Drug Discovery Process.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hinge Loss Projection for Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Water levels forecast in Thailand: A case study of Chao Phraya river.
Proceedings of the 14th International Conference on Control, 2016

An approach to face shape classification for hairstyle recommendation.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015
A comparative study of feature point matching versus foreground detection for computer detection of dairy cows in video frames.
Artif. Life Robotics, 2015

Using Image Features and Eye Tracking Device to Predict Human Emotions Towards Abstract Images.
Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Sign language recognition with microsoft Kinect's depth and colour sensors.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Learning to Predict Where People Look with Tensor-Based Multi-view Learning.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2013
Font Descriptor Construction for Printed Thai Character Recognition.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

A Comparison of Dimensionality Reduction Techniques in Virtual Screening.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Drug screening with Elastic-net multiple kernel learning.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2010
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination.
Pattern Anal. Appl., 2010

Pinview: Implicit Feedback in Content-Based Image Retrieval.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning relevant eye movement feature spaces across users.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

Image ranking with implicit feedback from eye movements.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009
Sparse multinomial kernel discriminant analysis (sMKDA).
Pattern Recognit., 2009

Learning to rank images from eye movements.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2007
Parsimonious Kernel Fisher Discrimination.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Virtual Screening Using Binary Kernel Discrimination: Effect of Noisy Training Data and the Optimization of Performance.
J. Chem. Inf. Model., 2006


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