Kitsuchart Pasupa

发表

An approach to face shape classification for hairstyle recommendation

Wisuwat Sunhem, Kitsuchart Pasupa, 2016, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI).

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

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

Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification?

Yoshimitsu Kuroki, Wisuwat Sunhem, Kitsuchart Pasupa, 2017, ICONIP.

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.

Water levels forecast in Thailand: A case study of Chao Phraya river

Kitsuchart Pasupa, Siripen Jungjareantrat, 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP

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

CDMC'19 - The 10th International Cybersecurity Data Mining Competition

Iqbal Gondal, Kitsuchart Pasupa, Shaoning Pang, 2020, ICONIP.

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.

Font Descriptor Construction for Printed Thai Character Recognition

Kitsuchart Pasupa, Ungsumalee Suttapakti, Kuntpong Woraratpanya, 2013, MVA.

A Scenario-based Analysis of Front-facing Camera Eye Tracker for UX-UI Survey on Mobile Banking App

Kitsuchart Pasupa, Wisuwat Sunhem, 2020, 2020 12th International Conference on Knowledge and Smart Technology (KST).

Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM

Kitsuchart Pasupa, Chu Kiong Loo, Zongying Liu, 2018, ICONIP.

Ranking algorithms for implicit feedback

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

Investigations and comparisons of government open data websites through systematic functional analysis and efficient promotion approach

Wimol San-Um, Kitsuchart Pasupa, Phassarun Iamamphai, 2016, 2016 Management and Innovation Technology International Conference (MITicon).

Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction

Kitsuchart Pasupa, Chu Kiong Loo, Zongying Liu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

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.

Image ranking with implicit feedback from eye movements

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

THE REVIEW OF VIRTUAL SCREENING TECHNIQUES

Kitsuchart Pasupa, Kitsuchart Pasupa, 2016 .

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

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

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

Kitsuchart Pasupa, Sissades Tongsima, Wanthanee Rathasamuth, 2019 .

Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V

Andrew Chi-Sing Leung, Kitsuchart Pasupa, Raquel Oliveira Prates, 2020, Communications in Computer and Information Science.

Empirical Monocomponent Image Decomposition

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

Thai sentiment terms construction using the Hourglass of Emotions

Kitsuchart Pasupa, Ponrudee Netisopakul, Rathawut Lertsuksakda, 2014, 2014 6th International Conference on Knowledge and Smart Technology (KST).

Pinview: Implicit Feedback in Content-Based Image Retrieval

Jorma Laaksonen, Alex Po Leung, John Shawe-Taylor, 2010, WAPA.

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.

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

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

Sparse multinomial kernel discriminant analysis (sMKDA)

Kitsuchart Pasupa, Robert F. Harrison, 2009, Pattern Recognit..

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).

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

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

Robust and Unified VLC Decoding System for Square Wave Quadrature Amplitude Modulation Using Deep Learning Approach

Kitsuchart Pasupa, Kuntpong Woraratpanya, Masanori Sugimoto, 2019, IEEE Access.

Detecting Text in Manga Using Stroke Width Transform

Masanori Sugimoto, Kitsuchart Pasupa, Boonyarith Piriyothinkul, 2019, 2019 11th International Conference on Knowledge and Smart Technology (KST).

A hybrid approach to building face shape classifier for hairstyle recommender system

Wisuwat Sunhem, Kitsuchart Pasupa, Chu Kiong Loo, 2019, Expert Syst. Appl..

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

Kitsuchart Pasupa, Phongsathorn Kittiworapanya, Kitsuchart Pasupa, 2020 .

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).

Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network

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

Learning relevant eye movement feature spaces across users

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

Local variance image-based for scene text binarization under illumination effects

Yoshimitsu Kuroki, Kitsuchart Pasupa, Kuntpong Woraratpanya, 2017, 2017 2nd International Conference on Image, Vision and Computing (ICIVC).

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).

A New Approach to Automatic Heat Detection of Cattle in Video

Kitsuchart Pasupa, Thanawat Lodkaew, 2019, ICONIP.

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).

Learning to rank images from eye movements

Kitsuchart Pasupa, Samuel Kaski, Steve R. Gunn, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine

Kitsuchart Pasupa, Chu Kiong Loo, Zongying Liu, 2019, ICONIP.

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

Elisa Bertino, Andrew Chi-Sing Leung, Kitsuchart Pasupa, 2020, ICONIP.

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

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

The Disaster Victim Locating System with a Smartphone Without a Telecommunication System

Kitsuchart Pasupa, Boonyarith Piriyothinkul, Patcharapon Joksamut, 2018, 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE).

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

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

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.

Hinge Loss Projection for Classification

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

Parsimonious Kernel Fisher Discrimination

Kitsuchart Pasupa, Peter Willett, Robert F. Harrison, 2007, IbPRIA.

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

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

SME User Classification from Click Feedback on a Mobile Banking Apps

Kitsuchart Pasupa, Boontawee Suntisrivaraporn, Suchat Tungjitnob, 2020, ICONIP.

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).

Learning to Predict Where People Look with Tensor-Based Multi-view Learning

Kitsuchart Pasupa, Sándor Szedmák, 2015, ICONIP.

Drug screening with Elastic-net multiple kernel learning

Kitsuchart Pasupa, John Shawe-Taylor, Peter Willett, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Description and evaluation of techniques for transfer learning across sub-categories

Jorma Laaksonen, Kitsuchart Pasupa, Gabriela Csurka, 2009 .

Prediction of relevance of an image from a scan pattern

Kitsuchart Pasupa, Samuel Kaski, Arto Klami, 2008 .

Combining Multiple Features for Product Categorisation by Multiple Kernel Learning

Kitsuchart Pasupa, David R. Hardoon, Chanawee Chavaltada, 2018 .

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

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

Modified adaptive thresholding using integral image

Kitsuchart Pasupa, Kuntpong Woraratpanya, Kittipop Peuwnuan, 2016, 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).

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.

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

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

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

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

Hypothesis testing based on observation from Thai sentiment classification

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

A simple iterative algorithm for parsimonious binary kernel Fisher discrimination

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

Hybrid Loss for Improving Classification Performance with Unbalanced Data

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

Vibrotactile Brain–Computer Interface with Error-Detecting Codes

Kitsuchart Pasupa, Yoshikazu Washizawa, Sittipong Apichartstaporn, 2016 .

Virtual Screening Using Binary Kernel Discrimination: Effect of Noisy Training Data and the Optimization of Performance

Kitsuchart Pasupa, Peter Willett, Robert F. Harrison, 2006, J. Chem. Inf. Model..

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..

Image Ranking with Eye Movements

Kitsuchart Pasupa, David R. Hardoon, Sandor Szedmak, 2009 .

Inside Me: A proposal for healthcare mobile application

Kitsuchart Pasupa, Ek Thamwiwatthana, Sarawut Busssadee, 2016, 2016 Fifth ICT International Student Project Conference (ICT-ISPC).

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).

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval

Alex Po Leung, John Shawe-Taylor, Kitsuchart Pasupa, 2010, ECML/PKDD.

Image enhancement in embedded devices for internet of things

Awais Ahmad, Gwanggil Jeon, Kitsuchart Pasupa, 2021, Concurr. Comput. Pract. Exp..

A Comparison of Dimensionality Reduction Techniques in Virtual Screening

Kitsuchart Pasupa, Kitsuchart Pasupa, 2013, ICAISC.

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).

Prediction of reference evapotranspiration with missing data in Thailand

Kitsuchart Pasupa, Ek Thamwiwatthana, 2013, 2013 International Conference on Information Technology and Electrical Engineering (ICITEE).

Hairstyle recommendation system for women

Wisuwat Sunhem, Kitsuchart Pasupa, Piyakorn Jansiripitikul, 2016, 2016 Fifth ICT International Student Project Conference (ICT-ISPC).

Efficient distributed SNP selection by a Modified Binary Flower Pollination Algorithm

Kitsuchart Pasupa, Wanthanee Rathasamuth, 2020 .

Text-background decomposition for thai text localization and recognition in natural scenes

Yoshimitsu Kuroki, Kitsuchart Pasupa, Kuntpong Woraratpanya, 2014, 2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE).

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.

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation

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

Evaluation of deep learning algorithms for semantic segmentation of car parts

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

Improvement of Text-Independent Speaker Verification Using Gender-like Feature

Kitsuchart Pasupa, Somkiat Wangsiripitak, Pornprom Kiawjak, 2021, 2021 13th International Conference on Knowledge and Smart Technology (KST).

Learning to Drive with Deep Reinforcement Learning

Kitsuchart Pasupa, Peter Auer, Nut Chukamphaeng, 2021, 2021 13th International Conference on Knowledge and Smart Technology (KST).

Hybrid Deep Learning Models for Thai Sentiment Analysis

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

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

Kitsuchart Pasupa, Peter Auer, Phongsathorn Kittiworapanya, 2021 .

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

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

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

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

Basic metric learning

John Shawe-Taylor, Kitsuchart Pasupa, Craig Saunders, 2008 .

Predicting relevance of parts of an image

Kitsuchart Pasupa, Gabriela Csurka, Samuel Kaski, 2009 .

A Modified Binary Flower Pollination Algorithm: A Fast and Effective Combination of Feature Selection Techniques for SNP Classification

Kitsuchart Pasupa, Wanthanee Rathasamuth, 2019, 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE).

Data Mining and Decision Support in Pharmaceutical Databases

Kitsuchart Pasupa, 2007 .

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.