Kitsuchart Pasupa

发表

Sparse Fisher discriminant analysis with Jeffrey's hyperprior

K. Pasupa, Kitsuchart Pasupa, 2012, 2012 International Conference on Control, Automation and Information Sciences (ICCAIS).

Thai Paragraph Shortening Based on Binary Classification Model

P. Netisopakul, Kitsuchart Pasupa, 2012 .

Diagnosis of Metabolic Syndrome Using Radar Chart

Kitsuchart Pasupa, W. Chaiwong, Chulathip Boonma, 2019, The Bangkok Medical Journal.

Hybrid Loss for Improving Classification Performance with Unbalanced Data

Kitsuchart Pasupa, Thanawat Lodkaew, Kitsuchart Pasupa, 2020, ICONIP.

Selection of SNP Subsets for Severity of Beta-thalassaemia Classification Problem

Kitsuchart Pasupa, Sissades Tongsima, Ek Thamwiwatthana, 2018, Proceedings of the 9th International Conference on Computational Systems-Biology and Bioinformatics.

Augmenting Differentiable Neural Computer with Read Network and Key-Value Memory

Kitsuchart Pasupa, Alok Yadav, 2021, 2021 25th International Computer Science and Engineering Conference (ICSEC).

Hybrid Deep Learning Models for Thai Sentiment Analysis

Kitsuchart Pasupa, Thititorn Seneewong Na Ayutthaya, 2021, Cognitive Computation.

Clustering-Based Weighted Extreme Learning Machine for Classification in Drug Discovery Process

Kitsuchart Pasupa, Wasu Kudisthalert, Kitsuchart Pasupa, 2016, ICONIP.

Empirical Monocomponent Image Decomposition

Kitsuchart Pasupa, Kuntpong Woraratpanya, Ungsumalee Suttapakti, 2018, IEEE Access.

Description, analysis and evaluation of confidence estimation procedures for sub-categorisation

Jorma Laaksonen, John Shawe-Taylor, Kitsuchart Pasupa, 2009 .

Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part III

Andrew Chi-Sing Leung, Kitsuchart Pasupa, James T. Kwok, 2020, ICONIP.

A Comparison of Dimensionality Reduction Techniques in Virtual Screening

Kitsuchart Pasupa, Kitsuchart Pasupa, 2013, ICAISC.

Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features

Kitsuchart Pasupa, Thititorn Seneewong Na Ayutthaya, Kitsuchart Pasupa, 2018, 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2019, IEEE Access.

THE REVIEW OF VIRTUAL SCREENING TECHNIQUES

Kitsuchart Pasupa, Kitsuchart Pasupa, 2016 .

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2018, IEEE Access.

Power system stabilizer tuning based on multiobjective design using hierarchical and parallel micro genetic algorithm

S. Dechanupaprittha, K. Hongesombut, Y. Mitani, 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

Fashion Finder: A System for Locating Online Stores on Instagram from Product Images

Kitsuchart Pasupa, Chu Kiong Loo, Thanawat Lodkaew, 2018, 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE).

Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification

Kitsuchart Pasupa, Suchat Tungjitnob, Supawit Vatathanavaro, 2020, Multimedia Tools and Applications.

Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification

Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob, 2020, Multimedia Tools and Applications.

Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification

Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob, 2020, Journal of Ambient Intelligence and Humanized Computing.

Hybrid Deep Learning Models for Thai Sentiment Analysis

Kitsuchart Pasupa, Thititorn Seneewong, Na Ayutthaya, 2021, Cognitive Computation.

A comparison between shallow and deep architecture classifiers on small dataset

Wisuwat Sunhem, Kitsuchart Pasupa, Kitsuchart Pasupa, 2016, 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).

A comparative study of feature point matching versus foreground detection for computer detection of dairy cows in video frames

Natapon Pantuwong, Kitsuchart Pasupa, Suthasinee Nopparit, 2015, Artificial Life and Robotics.

Ranking algorithms for implicit feedback

Alex Po Leung, Kitsuchart Pasupa, Peter Auer, 2009 .

Hybrid Training of Speaker and Sentence Models for One-Shot Lip Password

Kitsuchart Pasupa, Kavin Ruengprateepsang, Somkiat Wangsiripitak, 2020, ICONIP.

Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling

Kitsuchart Pasupa, Chu Kiong Loo, Manjeevan Seera, 2020, Eng. Appl. Artif. Intell..

Sentiment analysis of Thai children stories

Kitsuchart Pasupa, Ponrudee Netisopakul, Rathawut Lertsuksakda, 2016, Artificial Life and Robotics.

Using Image Features and Eye Tracking Device to Predict Human Emotions Towards Abstract Images

Masanori Sugimoto, Kitsuchart Pasupa, Panawee Chatkamjuncharoen, 2015, PSIVT.

New heuristic-based design of robust power system stabilizers

S. Dechanupaprittha, K. Hongesombut, Y. Mitani, 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features

Kitsuchart Pasupa, Thititorn Seneewong Na Ayutthaya, Kitsuchart Pasupa, 2019, Sustainable Cities and Society.

Evaluation of deep learning algorithms for semantic segmentation of car parts

Kitsuchart Pasupa, Kuntpong Woraratpanya, Phongsathorn Kittiworapanya, 2021, Complex & Intelligent Systems.

Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images

Kitsuchart Pasupa, Sissades Tongsima, Wasu Kudisthalert, 2020, IEEE Access.

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

Kitsuchart Pasupa, Sándor Szedmák, S. Szedmák, 2017, Neurocomputing.

An Image Segment-based Classification for Chest X-Ray Image

Kitsuchart Pasupa, Phongsathorn Kittiworapanya, Kitsuchart Pasupa, 2020 .

White Blood Cell Classification : A Comparison between VGG-16 and ResNet-50 Models

Kitsuchart Pasupa, Suchat Tungjitnob, Supawit Vatathanavaro, 2018 .

Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network

Masanori Sugimoto, Kitsuchart Pasupa, Noor Akhmad Setiawan, 2016, ICONIP.

Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network

Kitsuchart Pasupa, Kuntpong Woraratpanya, Masanori Sugimoto, 2020, IEEE Access.

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation

Kitsuchart Pasupa, David R. Hardoon, Chanawee Chavaltada, 2017, ISNN.

A coefficient comparison of weighted similarity extreme learning machine for drug screening

Kitsuchart Pasupa, Wasu Kudisthalert, Kitsuchart Pasupa, 2016, 2016 8th International Conference on Knowledge and Smart Technology (KST).

Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function

B. Suntisrivaraporn, Kitsuchart Pasupa, Supawit Vatathanavaro, 2020, ECML/PKDD.

Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification

Kitsuchart Pasupa, Zongying Liu, Kitsuchart Pasupa, 2020, 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE).

Sign language recognition with microsoft Kinect's depth and colour sensors

Kitsuchart Pasupa, Yoshikazu Washizawa, Panupon Usachokcharoen, 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Deep Learning-Based Early Detection and Avoidance of Traffic Congestion in Software-Defined Networks

Kitsuchart Pasupa, S. Prabhavat, Thananop Thongthavorn, 2022, International Conferences on Information Technologies and Electrical Engineering.

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

Kitsuchart Pasupa, Peter Auer, Phongsathorn Kittiworapanya, 2021, IAIT.

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

S. Tongsima, Wanthanee Rathasamuth, Kitsuchart Pasupa, 2020, BMC Bioinformatics.

Square Wave Quadrature Amplitude Modulation for Visible Light Communication Using Image Sensor

Kitsuchart Pasupa, Kuntpong Woraratpanya, Syukron Abu Ishaq Alfarozi, 2019, IEEE Access.

Hinge Loss Projection for Classification

Masanori Sugimoto, Kitsuchart Pasupa, Syukron Abu Ishaq Alfarozi, 2016, ICONIP.

Image ranking with implicit feedback from eye movements

Kitsuchart Pasupa, David R. Hardoon, D. Hardoon, 2010, ETRA.

Learning relevant eye movement feature spaces across users

John Shawe-Taylor, Kitsuchart Pasupa, Zakria Hussain, 2010, ETRA.

A simple iterative algorithm for parsimonious binary kernel Fisher discrimination

Kitsuchart Pasupa, Robert F. Harrison, R. Harrison, 2010, Pattern Analysis and Applications.

Multiple steps time series prediction by a novel Recurrent Kernel Extreme Learning Machine approach

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2017, 2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE).

SELM: Siamese extreme learning machine with application to face biometrics pdf

Kitsuchart Pasupa, Aythami Morales, Julian Fierrez, 2021, Neural Computing and Applications.

Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach

Kitsuchart Pasupa, Wasu Kudisthalert, Kitsuchart Pasupa, 2018, PloS one.