Publications

Books (2)

2021
[2]Kitsuchart Pasupa, "Advanced Intelligent Systems: Theory, Algorithms, and Applications (In Thai)", King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand, 2021. [bibtex] [pdf]
2017
[1]Kitsuchart Pasupa, "Introduction to Machine Learning (In Thai)", Bangkok, Thailand, 2017. [bibtex] [pdf]

Edited Books (11)

2024
[11]Kitsuchart Pasupa, Haiqin Yang, Mufti Mahmud, Sung-Bae Cho, Min Pan, Hongzhi Kuai, Ah-Hwee Tan, Yiyu Yao and Jonathan Chan, "Web Intelligence and Intelligent Agent Technology - 23rd IEEE/WIC International Conference, WI-IAT 2024, Bangkok, Thailand, December 9-12, 2024, Proceedings", IEEE, 2024. [bibtex] [url] [doi]
2023
[10]Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa and Ali Selamat, "Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part I", Springer Nature Singapore, 2023. [bibtex] [url] [doi]
[9]Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa and Ali Selamat, "Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part II", Springer Nature Singapore, 2023. [bibtex] [url] [doi]
[8]Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa and Ali Selamat, "Recent Challenges in Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings", Springer Nature Switzerland, 2023. [bibtex] [url] [doi]
[7]Arit Thammano, Roni Irnawan, Kitsuchart Pasupa and Syukron Abu Ishaq Alfarozi, "Information Technology and Electrical Engineering - 15th International Conference, ICITEE 2023, Chiang Mai, Thailand, October 26-27, 2023, Proceedings", IEEE, 2023. [bibtex] [url] [doi]
2021
[6]Kitsuchart Pasupa, Chee Keong Kwoh, Sansanee Auephanwiriyakul and Nipon Theera-Umpon, "Computational Systems-Biology and Bioinformatics - 12th International Conference, CSBIO 2021, Virtual, October 14-15, 2021", ACM, 2021. [bibtex] [url] [doi]
2020
[5]Haiqin Yang, Kitsuchart Pasupa, Andrew Leung, James Kwok, Jonathan H. Chan and Irwin King, "Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings Part I", Springer International Publishing, 2020. [bibtex] [url] [doi]
[4]Haiqin Yang, Kitsuchart Pasupa, Andrew Leung, James Kwok, Jonathan H. Chan and Irwin King, "Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings Part II", Springer International Publishing, 2020. [bibtex] [url] [doi]
[3]Haiqin Yang, Kitsuchart Pasupa, Andrew Leung, James Kwok, Jonathan H. Chan and Irwin King, "Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings Part III", Springer International Publishing, 2020. [bibtex] [url] [doi]
[2]Haiqin Yang, Kitsuchart Pasupa, Andrew Leung, James Kwok, Jonathan H. Chan and Irwin King, "Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings Part IV", Springer International Publishing, 2020. [bibtex] [url] [doi]
[1]Haiqin Yang, Kitsuchart Pasupa, Andrew Leung, James Kwok, Jonathan H. Chan and Irwin King, "Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings Part V", Springer International Publishing, 2020. [bibtex] [url] [doi]

Journal Manuscripts (46)

2026
[46]Zongying Liu, Xiaohan Xu, Kitsuchart Pasupa, Chu Kiong Loo, Yang Wei and Mingyang Pan, "Self-attention Hierarchical Kernel Reservoir State Network for Inland Water Level Prediction", Engineering Applications of Artificial Intelligence, Elsevier BV, vol. 164, pp. 113273, 2026. Comment: ISI (2024): Q1 Percentile 97.5% JIF 8, Scopus (2024): Q1 Percentile 88% CiteScore 9.5 [bibtex] [doi]
2025
[45]Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa and Kitsuchart Pasupa, "Optimizing Colorectal Polyp Detection and Localization: Impact of RGB Color Adjustment on CNN Performance", MethodsX, Elsevier BV, vol. 14, pp. 103187, 2025. Comment: ISI (2023): Q2 Percentile 56.3% JIF 1.7, Scopus (2023): Q1 Percentile 78% CiteScore 3.6 [bibtex] [doi]
[44]Gumpanart Veerakul, Kitsuchart Pasupa, Yod Pinroj, Lertlak Chaothawee, Pradit Somprakit, Pongtorn Kietdumrongwong, Somkiat Tonphu, Warut Chaiwong and Saowaluck Yasri, "Predicting Cardiovascular Diseases Risk in Thai Population by Machine Learning", The Bangkok Medical Journal, Bangkok Dusit Medical Service (BDMS), vol. 21, no. 2, pp. 133–144, 2025. [bibtex] [doi]
2024
[43]Krishanu Maity, A.S. Poornash, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha and Kitsuchart Pasupa, "HateThaiSent: sentiment-aided hate speech detection in Thai language", IEEE Transactions on Computational Social Systems, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–14, 2024. Comment: ISI (2022): Q1 Percentile 77.1% JIF 5.0, Scopus (2022): Q1 Percentile 98% CiteScore 10.0 [bibtex] [doi]
[42]Alok Yadav, Kitsuchart Pasupa, Chu Kiong Loo and Xiaofeng Liu, "Optimizing echo state networks for continuous gesture recognition in mobile devices: a comparative study", Heliyon, Elsevier BV, vol. 10, no. 5, pp. e27108, 2024. Comment: ISI (2022): Q2 Percentile 69.2% JIF 4.0, Scopus (2022): Q1 Percentile 86% CiteScore 5.6 [bibtex] [doi]
[41]Archana Mathur, Nikhilanand Arya, Kitsuchart Pasupa, Sriparna Saha, Sudeepa Roy Dey and Snehanshu Saha, "Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward", Briefings in Functional Genomics, Oxford University Press (OUP), pp. elae015, 2024. Comment: ISI (2022): Q2 Percentile 72.2% JIF 4.0 , Scopus (2022): Q1 Percentile 92% CiteScore 9.8 [bibtex] [doi]
[40]Zongying Liu, Wenru Zhang, Mingyang Pan, Chu Kiong Loo and Kitsuchart Pasupa, "Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction", Applied Soft Computing, Elsevier BV, vol. 165, pp. 112055, 2024. Comment: ISI (2023): Q1 Percentile 91.4% JIF 7.2, Scopus (2023): Q1 Percentile 93% CiteScore 15.8 [bibtex] [doi]
2023
[39]Zongying Liu, Ghalib Ahmed Tahir, Naoki Masuyama, Habeebah Adamu Kakudi, Zhongyu Fu and Kitsuchart Pasupa, "Error-output recurrent multi-layer kernel reservoir network for electricity load time series forecasting", Engineering Applications of Artificial Intelligence, Elsevier BV, vol. 117, pp. 105611, 2023. Comment: ISI (2022): Q1 Percentile 95% JIF 8.034, Scopus (2022): Q1 Percentile 93% CiteScore 12.3 [bibtex] [doi]
[38]Thanawat Lodkaew, Kitsuchart Pasupa and Chu Kiong Loo, "CowXNet: An automated cow estrus detection system", Expert Systems with Applications, Elsevier BV, vol. 211, pp. 118550, 2023. Comment: ISI (2022): Q1 Percentile 93% JIF 8.500, Scopus (2022): Q1 Percentile 96% CiteScore 12.6 [bibtex] [doi]
[37]Zipeng Wu, Chu Kiong Loo, Unaizah Hanum Binti Obaidellah and Kitsuchart Pasupa, "A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction", Heliyon, Elsevier BV, vol. 9, no. 8, pp. e18771, 2023. Comment: ISI (2022): Q2 Percentile 69.2% JIF 4.0, Scopus (2022): Q1 Percentile 86% CiteScore 5.6 [bibtex] [doi]
[36]Jutamash Wongwai, Prathan Buranasiri, Kitsuchart Pasupa and Anita Manassakorn, "Analysis of volumetric 3D reconstruction of lamina cribrosa images from swept-source optical coherence tomography in glaucomatous and healthy subjects", Biomedical Optics Express, Optica Publishing Group, vol. 14, no. 9, pp. 4627–4643, 2023. Comment: ISI (2022): Q2 Percentile 68.5% JIF 3.4, Scopus (2022): Q1 Percentile 77% CiteScore 6.7 [bibtex] [doi]
2022
[35]Wasu Kudisthalert, Kitsuchart Pasupa, Aythami Morales Moreno and Julian Fierrez, "SELM: Siamese extreme learning machine with application to face biometrics", Neural Computing and Applications, Springer Science and Business Media LLC, vol. 34, no. 14, pp. 12143–12157, 2022. Comment: ISI (2020): Q1 Percentile 78% JIF 5.606, Scopus (2020): Q1 Percentile 82% CiteScore 7.3 [bibtex] [url] [doi]
[34]Kitsuchart Pasupa, Phongsathorn Kittiworapanya, Napasin Hongngern and Kuntpong Woraratpanya, "Evaluation of deep learning algorithms for semantic segmentation of car parts", Complex & Intelligent Systems, Springer Science and Business Media LLC, vol. 8, no. 5, pp. 3613–3625, 2022. Comment: ISI (2021): Q1 Percentile 76% JIF 6.700, Scopus (2021) [bibtex] [doi]
2021
[33]Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa, "A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction", Sustainable Cities and Society, Elsevier BV, vol. 66, pp. 102613, 2021. Comment: ISI (2020): Q1 Percentile 94% JIF 7.587, Scopus (2020): Q1 Percentile 98% CiteScore 10.7 [bibtex] [doi]
[32]Kitsuchart Pasupa, "Hybrid deep learning models for Thai sentiment analysis", Cognitive Computation, Springer Science and Business Media LLC, vol. 14, no. 1, pp. 167–193, 2021. Comment: ISI (2020): Q1 Percentile 76% JIF 5.418, Scopus (2020): Q1 Percentile 90% CiteScore 8.6 [bibtex] [pdf] [doi]
[31]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Lim Chee Kau and Kitsuchart Pasupa, "Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: a systematic literature review", Malaysian Journal of Computer Science, Univ. of Malaya, vol. 34, no. 3, pp. 221–241, 2021. Comment: ISI (2020): Q4 Percentile 10% JIF 0.622, Scopus (2020): Q3 Percentile 39% CiteScore 1.4 [bibtex] [doi]
[30]Suchat Tungjitnob, Kitsuchart Pasupa and Boontawee Suntisrivaraporn, "Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches", Heliyon, Elsevier BV, vol. 7, no. 8, pp. e07761, 2021. Comment: ISI (2020): ESCI, Scopus (2020): Q1 Percentile 75% CiteScore 2.1 [bibtex] [doi]
2020
[29]Syukron Abu Ishaq Alfarozi, Kitsuchart Pasupa, Masanori Sugimoto and Kuntpong Woraratpanya, "Local sigmoid method: non-iterative deterministic learning algorithm for automatic model construction of neural network", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 8, pp. 20342–20362, 2020. Comment: ISI (2019): Q1 Percentile 77% JIF 3.745, Scopus (2019): Q1 Percentile 84% CiteScore 3.9 [bibtex] [doi]
[28]Wasu Kudisthalert, Kitsuchart Pasupa and Sissades Tongsima, "Counting and classification of malarial parasite from giemsa-stained thin film images", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 8, pp. 78663–78682, 2020. Comment: ISI (2019): Q1 Percentile 77% JIF 3.745, Scopus (2019): Q1 Percentile 84% CiteScore 3.9 [bibtex] [doi]
[27]Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa and Manjeevan Seera, "Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling", Engineering Applications of Artificial Intelligence, Elsevier BV, vol. 88, pp. 103327, 2020. Comment: ISI (2019): Q1 Percentile 86% JIF 4.201, Scopus (2019): Q1 Percentile 89% CiteScore 8.0 [bibtex] [doi]
[26]Kitsuchart Pasupa, Supawit Vatathanavaro and Suchat Tungjitnob, "Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification", Journal of Ambient Intelligence and Humanized Computing, Springer Science and Business Media LLC, 2020. Comment: ISI (2019): Q1 Percentile 83% JIF 4.594, Scopus (2019): Q1 Percentile 78% CiteScore 3.8 [bibtex] [url] [doi]
[25]Kitsuchart Pasupa, Suchat Tungjitnob and Supawit Vatathanavaro, "Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification", Multimedia Tools and Applications, Springer Science and Business Media LLC, vol. 79, no. 45–46, pp. 34209–34226, 2020. Comment: ISI (2019): Q2 Percentile 68% JIF 2.313, Scopus (2019): Q1 Percentile 80% CiteScore 3.7 [bibtex] [doi]
[24]Kitsuchart Pasupa, Wanthanee Rathasamuth and Sissades Tongsima, "Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique", BMC Bioinformatics, Springer Science and Business Media LLC, vol. 21, no. 1, pp. 216, 2020. Comment: ISI (2019): Q1 Percentile 85% JIF 3.242, Scopus (2019): Q1 Percentile 90% CiteScore 4.6 [bibtex] [doi]
2019
[23]Syukron Abu Ishaq Alfarozi, Kitsuchart Pasupa, Hiromichi Hashizume, Kuntpong Woraratpanya and Masanori Sugimoto, "Robust and unified VLC decoding system for square wave quadrature amplitude modulation using deep learning approach", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 7, pp. 163262–163276, 2019. Comment: ISI (2018): Q1 Percentile 86% JIF 4.098, Scopus (2018): Q1 Percentile 80% CiteScore 3.1 [bibtex] [doi]
[22]Syukron Abu Ishaq Alfarozi, Kitsuchart Pasupa, Hiromichi Hashizume, Kuntpong Woraratpanya and Masanori Sugimoto, "Square wave quadrature amplitude modulation for visible light communication using image sensor", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 7, pp. 94806–94821, 2019. Comment: ISI (2018): Q1 Percentile 86% JIF 4.098, Scopus (2018): Q1 Percentile 80% CiteScore 3.1 [bibtex] [doi]
[21]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama and Kitsuchart Pasupa, "Diagnosing metabolic syndrome using genetically optimised bayesian ARTMAP", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 7, pp. 8437–8453, 2019. Comment: ISI (2018): Q1 Percentile 85% JIF 4.098, Scopus (2018): Q1 Percentile 80% CiteScore 3.1 [bibtex] [doi]
[20]Ritthikrai Thaweecharoen, Warut Chaiwong, Chulathip Boonma, Kitsuchart Pasupa, Piyawan Massa-Ard and Chaiyos Kunanusont, "Diagnosis of metabolic syndrome using radar chart", The Bangkok Medical Journal, Bangkok Dusit Medical Service (BDMS), vol. 15, no. 1, pp. 11–18, 2019. [bibtex] [doi]
[19]Kitsuchart Pasupa, Wisuwat Sunhem and Chu Kiong Loo, "A hybrid approach to building face shape classifier for hairstyle recommender system", Expert Systems with Applications, Elsevier BV, vol. 120, pp. 14–32, 2019. Comment: ISI (2018): Q1 Percentile 92% JIF 4.292, Scopus (2018): Q1 Percentile 98% CiteScore 10.2 [bibtex] [doi]
[18]Gwanggil Jeon, Kitsuchart Pasupa, Marco Anisetti and Awais Ahmad, "Image enhancement in embedded devices for internet of things", Concurrency and Computation: Practice and Experience, Wiley, vol. 33, no. 3, pp. e5398, 2019. Comment: ISI (2018): Q3 Percentile 44% JIF 1.167, Scopus (2018): Q1 Percentile 77% CiteScore 3.6 [bibtex] [doi]
[17]Kitsuchart Pasupa, "Thai sentiment analysis with deep learning techniques: a comparative study based on word embedding, POS-tag, and sentic features", Sustainable Cities and Society, Elsevier BV, vol. 50, pp. 101615, 2019. Comment: ISI (2018): Q1 Percentile 91% JIF 4.624, Scopus (2018): Q1 Percentile 93% CiteScore 5.4 [bibtex] [doi]
[16]Wanthanee Rathasamuth, Kitsuchart Pasupa and Sissades Tongsima, "Selection of a minimal number of significant porcine SNPs by an information gain and genetic algorithm hybrid", Malaysian Journal of Computer Science, Univ. of Malaya, vol. 32, pp. 79–95, 2019. Comment: ISI (2018): Q4 Percentile 12% JIF 0.625, Scopus (2018): Q3 Percentile 44% CiteScore 1.3 [bibtex] [url] [doi]
2018
[15]Zongying Liu, Chu Kiong Loo, Naoki Masuyama and Kitsuchart Pasupa, "Recurrent kernel extreme reservoir machine for time series prediction", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 6, pp. 19583–19596, 2018. Comment: ISI (2017): Q1 Percentile 84% JIF 3.557, Scopus (2017): Q1 Percentile 75% CiteScore 2.4 [bibtex] [doi]
[14]Kitsuchart Pasupa, Sanparith Marukatat and Thavida Maneewarn, "The development of artificial intelligence, robotics, big data analytics in Thailand. (In Thai)", TCELS White Paper - Ethical Perspective on Science, Technology: Artificial Intelligence, Robotics, Big Data, pp. 31–53, 2018. [bibtex] [pdf]
[13]Ungsumalee Suttapakti, Kitsuchart Pasupa and Kuntpong Woraratpanya, "Empirical monocomponent image decomposition", IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), vol. 6, pp. 38706–38735, 2018. Comment: ISI (2017): Q1 Percentile 84% JIF 3.557, Scopus (2017): Q1 Percentile 75% CiteScore 2.4 [bibtex] [doi]
[12]Kitsuchart Pasupa and Wasu Kudisthalert, "Virtual screening by a new clustering-based weighted similarity extreme learning machine approach", PLOS One, Public Library of Science (PLoS), vol. 13, no. 4, pp. e0195478, 2018. Comment: ISI (2017): Q1 Percentile 77% JIF 2.766, Scopus (2017): Q1 Percentile 92% CiteScore 5.7 [bibtex] [doi]
2017
[11]Kitsuchart Pasupa and Sandor Szedmak, "Utilising Kronnecker decomposition and tensor-based multi-view learning to predict where people are looking in images", Neurocomputing, Elsevier BV, vol. 248, pp. 80–93, 2017. Comment: ISI (2016): Q1 Percentile 82% JIF 3.317, Scopus (2016): Q1 Percentile 83% CiteScore 4.9 [bibtex] [doi]
[10]Ponrudee Netisopakul, Kitsuchart Pasupa and Ratthawut Lertsuksakda, "Hypothesis testing based on observation from Thai sentiment classification", Artificial Life and Robotics, Springer Science and Business Media LLC, vol. 22, no. 2, pp. 184–190, 2017. Comment: ISI (2016): ESCI, Scopus (2016): Q4 Percentile 20% CiteScore 0.6 [bibtex] [url] [doi]
2016
[9]Kitsuchart Pasupa, Ponrudee Netisopakul and Ratthawut Lertsuksakda, "Sentiment analysis on Thai children stories", Artificial Life and Robotics, Springer Science and Business Media LLC, vol. 21, no. 3, pp. 357–364, 2016. Comment: ISI (2015): ESCI, Scopus (2015): Q4 Percentile 24% CiteScore 0.7 [bibtex] [url] [doi]
2015
[8]Kitsuchart Pasupa, Panawee Chatkamjuncharoen and Chotiros Wuttilertdeshar, "Prediction of Human Emotions toward Abstract Images by Image Features and Eye Tracking Device (In Thai)", Journal of Information Science and Technology, Faculty of Information Science and Technology, Mahanakorn University of Technology, vol. 5, no. 2, pp. 1–8, 2015. [bibtex] [url] [doi]
[7]Kitsuchart Pasupa, Natapon Pantuwong and Suthasinee Nopparit, "A comparative study of feature point matching versus foreground detection for computer detection of dairy cows in video frames", Artificial Life and Robotics, Springer Science and Business Media LLC, vol. 20, no. 4, pp. 320–326, 2015. Comment: ISI (2014): ESCI, Scopus (2014): Q4 Percentile 25% CiteScore 0.8 [bibtex] [doi]
2014
[6]Suthasinee Nopparit, Natapon Pantuwong and Kitsuchart Pasupa, "Behavioural analysis in dairy cow from video. (In Thai)", KMITL Journal of Information Technology, vol. 3, no. 2, pp. 51–58, 2014. [bibtex] [url]
2012
[5]Pattheera Janiam and Kitsuchart Pasupa, "The possibilities of broadcasting TV shows in 3D. (In Thai)", KMITL Journal of Information Technology, vol. 1, no. 1, pp. 14–23, 2012. [bibtex] [url]
[4]Kitsuchart Pasupa, "The review of virtual screening techniques", KMITL Journal of Information Technology, vol. 1, no. 1, pp. 60–82, 2012. [bibtex] [url]
2010
[3]Robert F. Harrison and Kitsuchart Pasupa, "A simple iterative algorithm for parsimonious binary kernel Fisher discrimination", Pattern Analysis & Applications, Springer Science and Business Media LLC, vol. 13, no. 1, pp. 15–22, 2010. Comment: ISI (2009): Q3 Percentile 46% JIF 1.293, Scopus (2009) [bibtex] [doi]
2009
[2]Robert F. Harrison and Kitsuchart Pasupa, "Sparse multinomial kernel discriminant analysis (sMKDA)", Pattern Recognition, Elsevier BV, vol. 42, no. 9, pp. 1795–1802, 2009. Comment: ISI (2008): Q1 Percentile 92% JIF 3.279, Scopus (2008) [bibtex] [doi]
2006
[1]Beining Chen, Robert F. Harrison, Kitsuchart Pasupa, Peter Willett, David J. Wilton, David J. Wood and Xiao Qing Lewell, "Virtual screening using binary kernel discrimination: effect of noisy training data and the optimization of performance", Journal of Chemical Information and Modeling, American Chemical Society (ACS), vol. 46, no. 2, pp. 478–486, 2006. Comment: ISI (2005): Q1 Percentile 93% JIF 2.923, Scopus (2005) [bibtex] [doi]

Proceeding Manuscripts (105)

2026
[105]Wongsapat Phuengpanyaloet, Kitsuchart Pasupa, Thanatwit Angsarawanee, Panumate Chetprayoon and Theerat Sakdejayont, "Unified Multimodal-Multitask Learning for Vehicle Damage Assessment in Insurance Applications", In Proceedings of the 23rd International Joint Conference on Computer Science and Software Engineering (JCSSE 2026), 24 - 27 June 2026, Bangkok, Thailand, IEEE, pp. 1–6, 2026. [bibtex] [doi]
[104]Chananyu Limcharoen, Keetaphat Sripinta and Kitsuchart Pasupa, "A Persona-based Automated Evaluation Framework for Intelligent AI Teaching Assistants", In Proceedings of the 14th International Conference on Advances in Information Technology (IAIT 2026), 17-19 June 2026, Bangkok, Thailand, ACM, pp. 1–10, 2026. [bibtex] [doi]
[103]Sarmistha Das, Shreyas Guha, Suvrayan Bandyopadhyay, Salisa Phosit, Kitsuchart Pasupa and Sriparna Saha, "When Meaning Isn't Literal: Exploring Idiomatic Meaning Across Languages and Modalities", In Proceedings of the 2026 IEEE International Conference on Multimedia and Expo (ICME 2026), 5-9 July 2026, Bangkok, Thailand, IEEE, pp. 1–6, 2026. Comment: CORE Ranking (2026): A [bibtex] [doi]
[102]Sarmistha Das, Vaibhav Vishal, Shreyas Guha, Amaan Ali, Kitsuchart Pasupa and Sriparna Saha, "When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models", In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Findings, 2-7 July 2026, San Diego, California, USA, Association for Computational Linguistics, pp. 1–18, 2026. Comment: CORE Ranking (2026): A* [bibtex] [doi]
2025
[101]Salisa Phosit, Sawarod Kongsamlit and Kitsuchart Pasupa, "Detecting Cyberbullying in Thai Memes: A Multimodal Approach Using Deep Learning", In Proceedings of the 17th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2025), 17-20 March 2025, Trondheim, Norway, IEEE, pp. 1–7, 2025. [bibtex] [doi]
[100]Dong Zhang, Kitsuchart Pasupa, Zongying Liu and Mingyang Pan, "MS-PatchTST: Leveraging Multi-Scale Temporal Features for Water Level Prediction", In Proceedings of the 17th International Conference on Information Technology and Electrical Engineering (ICITEE 2025), 20-21 October 2025, Bangkok, Thailand, IEEE, pp. 1–6, 2025. [bibtex] [doi]
[99]Sarmistha Das, Priya Mathur, Ishani Sharma, Sriparna Saha, Kitsuchart Pasupa and Alka Maurya, "Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters", In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025), 25-30 October, Bologna, Italy (Inês Lynce, Nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani, eds.), IOS Press, pp. 4370–4377, 2025. Comment: CORE Ranking (2023): A [bibtex] [url] [doi]
[98]Arkadeep Acharya, Akash Ghosh, Pradeepika Verma, Kitsuchart Pasupa, Sriparna Saha and Priti Singh, "M3Retrieve: Benchmarking Multimodal Retrieval for Medicine", In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Main Conference, 2-9 November 2025, Suzhou, China (Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, Violet Peng, eds.), Association for Computational Linguistics, pp. 15274–15287, 2025. Comment: CORE Ranking (2023): A* [bibtex] [url] [doi]
[97]Punit Kumar Singh, Nishant Kumar, Akash Ghosh, Kunal Pasad, Khushi Soni, Manisha Jaiswal, Sriparna Saha, Syukron Alfarozi, Asres Temam Abagissa, Kitsuchart Pasupa, Haiqin Yang and Jose G Moreno, "Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports", In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Main Conference, 2-9 November 2025, Suzhou, China (Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, Violet Peng, eds.), Association for Computational Linguistics, pp. 15205–15252, 2025. Comment: CORE Ranking (2023): A* [bibtex] [url] [doi]
[96]Nattawat Weradechtaweewon, Mongkol Boondamnoen and Kitsuchart Pasupa, "Towards Sentic-Aware Multimodal Models for Cyberbullying Detection in Thai Memes", In Proceedings of the 32nd International Conference on Neural Information Processing (ICONIP 2025), 20-24 November 2025, Okinawa, Japan (Tadahiro Taniguchi, Andrew Chi Sing Leung, Tadashi Kozuno, Junichiro Yoshimoto, Mufti Mahmud, Maryam Doborjeh, Kenji Doya, eds.), Springer Nature Singapore, pp. 228–242, 2025. Comment: CORE Ranking (2023): B [bibtex] [doi]
2024
[95]Kitsuchart Pasupa and Kuntpong Woraratpanya, "Enhancing Thai food recognition through multimodal fusion of image and fourier spectrum", In Proceedings of the 16th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2024), 15-18 April 2024, Ras Al Khaimah, UAE (Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz, eds.), Springer Nature Singapore, pp. 71–82, 2024. Comment: CORE Ranking (2023): B [bibtex] [doi]
[94]Krishanu Maity, A.S. Poornash, Sriparna Saha and Kitsuchart Pasupa, "ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos", In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 21-25 October 2024, Boise, Idaho, USA, ACM, pp. 3937–3942, 2024. Comment: CORE Ranking (2023): A [bibtex] [doi]
[93]Napat Paniangvait and Kitsuchart Pasupa, "Comparative Analysis of Online and Offline Learning Algorithms with Data Drift Detectors in Multi-Target Time Series", In Proceedings of the 16th International Conference on Information Technology and Electrical Engineering (ICITEE 2024), 23-25 October 2024, Bali, Indonesia, IEEE, pp. 1–6, 2024. [bibtex] [doi]
[92]Wongsapat Phuengpanyaloet, Nonpipat Boonruengkhao, Viktor Anchutin, Kitsuchart Pasupa and Chu Kiong Loo, "Highlight Detection in Podcasts: A Multimodal Deep Learning Approach", In Proceedings of the 31st International Conference on Neural Information Processing (ICONIP 2024), 2-6 December 2024, Auckland, New Zealand (Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M Tanveer, eds.), Springer Nature Singapore, pp. 1–15, 2024. Comment: CORE Ranking (2023): B [bibtex] [doi]
2023
[91]Mufti Irawan Fikri, Kitsuchart Pasupa, Kuntpong Woraratpanya, Igi Ardiyanto and Hanung Adi Nugroho, "An automatic brain tumor segmentation using 3D LSRA SegFormer", In Proceedings of the 9th International Conference on Science and Technology (ICST 2023), 1-2 November 2023, Yogyakarta, Indonesia, pp. 1–12, 2023. [bibtex] [url]
[90]Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha and Kitsuchart Pasupa, "Ex-ThaiHate: a generative multitask framework for sentiment and emotion aware hate speech detection with explanation in Thai", In Proceedings of the 34th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 18-22 September 2023, Torino, Italy (Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi, eds.), Springer Nature Switzerland, pp. 139–156, 2023. Comment: CORE Ranking (2021): A [bibtex] [doi]
[89]Qi Ding Ng, Chu Kiong Loo, Kitsuchart Pasupa, Nat Dilokthanakul and Jie Zhang, "Energy-efficient continual learning for autonomous driving", In Proceedings of the 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023), 26-27 October 2023, Chiang Mai, Thailand, IEEE, pp. 105–110, 2023. [bibtex] [doi]
[88]Zipeng Wu, Chu Kiong Loo and Kitsuchart Pasupa, "Correlated online k-nearest neighbors regressor chain for online multi-output regression", In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023), 20-23 November 2023, Changsha, China (Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, eds.), Springer Nature Singapore, pp. 28–39, 2023. Comment: CORE Ranking (2021): B [bibtex] [doi]
[87]Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha and Kitsuchart Pasupa, "HANCaps: a two-channel deep learning framework for fake news detection in Thai", In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023), 20-23 November 2023, Changsha, China (Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, eds.), Springer Nature Singapore, pp. 204–215, 2023. Comment: CORE Ranking (2021): B [bibtex] [doi]
[86]Nonthapaht Taspan, Bukorree Madthing, Panumate Chetprayoon, Thanatwit Angsarawanee, Kitsuchart Pasupa and Theerat Sakdejayont, "Generating pseudo-labels for car damage segmentation using deep spectral method", In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023), 20-23 November 2023, Changsha, China (Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, eds.), Springer Nature Singapore, pp. 468–482, 2023. Comment: CORE Ranking (2021): B [bibtex] [doi]
2022
[85]Krishanu Maity, Shaubhik Bhattacharya, Sriparna Saha, Suwika Janoai and Kitsuchart Pasupa, "FastThaiCaps: a transformer based capsule network for hate speech detection in Thai language", In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022), 22-26 November 2022, New Delhi, India (M. Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, eds.), Springer International Publishing, pp. 425–437, 2022. Comment: CORE Ranking (2021): B [bibtex] [doi]
[84]Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa and Licheng Xu, "An interpretable multi-target regression method for hierarchical load forecasting", In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022), 22-26 November 2022, New Delhi, India (M. Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, eds.), Springer Nature Singapore, pp. 3–12, 2022. Comment: CORE Ranking (2021): B [bibtex] [doi]
[83]Kitsuchart Pasupa, Werasut Karnbanjob and Massakorn Aksornsiri, "Hate speech detection in Thai social media with ordinal-imbalanced text classification", In Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering (JCSSE 2022), 22 - 25 June 2022, Bangkok, Thailand, IEEE, pp. 1–6, 2022. [bibtex] [doi]
[82]Sumet Prabhavat, Thananop Thongthavorn and Kitsuchart Pasupa, "Deep learning-based early detection and avoidance of traffic congestion in software-defined networks", In Proceedings of the 14th International Conference on Information Technology and Electrical Engineering (ICITEE 2022), 18-19 October 2022, Virtual, IEEE, pp. 1–6, 2022. [bibtex] [doi]
[81]Alok Yadav, Kitsuchart Pasupa and Chu Kiong Loo, "Revisiting echo state networks for continuous gesture recognition", In Proceedings of the 15th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022), 4-7 December 2022, Singapore, IEEE, pp. 1–6, 2022. [bibtex] [doi]
2021
[80]Pornprom Kiawjak, Somkiat Wangsiripitak and Kitsuchart Pasupa, "Improvement of text-independent speaker verification using gender-like feature", In Proceedings of the 13th International Conference on Knowledge and Smart Technology (KST 2021), 21-24 January 2021, Chonburi, Thailand, IEEE, pp. 219–224, 2021. [bibtex] [pdf] [doi]
[79]Jakkrit Sonsanit, Watcharin Sirigate, Kitsuchart Pasupa, Varut Wiseschinda and Chaiyos Kunanusont, "Analysis of dust exposure impact on cardiovascular diseases risk prediction in Bangkok, Thailand", In Proceedings of the 13th International Conference on Knowledge and Smart Technology (KST 2021), 21-24 January 2021, Chonburi, Thailand, IEEE, pp. 153–158, 2021. [bibtex] [doi]
[78]Nut Chukamphaeng, Kitsuchart Pasupa, Martin Antenreiter and Peter Auer, "Learning to drive with deep reinforcement learning", In Proceedings of the 13th International Conference on Knowledge and Smart Technology (KST 2021), 21-24 January 2021, Chonburi, Thailand, IEEE, pp. 147–152, 2021. [bibtex] [pdf] [doi]
[77]Phongsathorn Kittiworapanya, Kitsuchart Pasupa and Peter Auer, "Particle size estimation in mixed commercial waste images using deep learning", In Proceedings of the 12th International Conference on Advances in Information Technology (IAIT 2021), 19 June-1 July 2021, Bangkok, Thailand, ACM, pp. 1–5, 2021. [bibtex] [url] [doi]
[76]Alok Yadav and Kitsuchart Pasupa, "Augmenting differentiable neural computer with read network and key-value memory", In Proceedings of the 25th International Computer Science and Engineering Conference (ICSEC 2021), 18-20 November 2021, Chiang Rai, Thailand, IEEE, pp. 1–5, 2021. [bibtex] [doi]
2020
[75]Thanawat Lodkaew and Kitsuchart Pasupa, "Hybrid loss for improving classification performance with unbalanced data", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand (Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, eds.), Springer International Publishing, pp. 807–814, 2020. Comment: CORE Ranking (2018): A [bibtex] [doi]
[74]Paul S. Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Iqbal Gondal, Kitsuchart Pasupa, Fadi Aloul and Geong Sen Poh, "CDMC'19–the 10th International Cybersecurity Data Mining Competition", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand (Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, eds.), Springer International Publishing, pp. 235–245, 2020. Comment: CORE Ranking (2018): A [bibtex] [pdf] [doi]
[73]Wanthanee Rathasamuth and Kitsuchart Pasupa, "An efficient distributed SNP selection method for porcine breed classification", In Proceedings of the 8th Joint Symposium on Computational Intelligence (JSCI8), 21 May 2020, Virtual Conference, pp. 5–8, 2020. [bibtex] [pdf]
[72]Kavin Ruengprateepsang, Somkiat Wangsiripitak and Kitsuchart Pasupa, "Hybrid training of speaker and sentence models for one-shot lip password", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand (Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, eds.), Springer International Publishing, pp. 363–374, 2020. Comment: CORE Ranking (2018): A [bibtex] [doi]
[71]Suchat Tungjitnob, Kitsuchart Pasupa, Ek Thamwiwatthana and Boontawee Suntisrivaraporn, "SME user classification from click feedback on a mobile banking apps", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand (Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, eds.), Springer International Publishing, pp. 256–264, 2020. Comment: CORE Ranking (2018): A [bibtex] [pdf] [doi]
[70]Supawit Vatathanavaro, Kitsuchart Pasupa, Sorratat Sirirattanajakarin and Boontawee Suntisrivaraporn, "Improved identification of imbalanced multiple annotation intent labels with a hybrid BLSTM and CNN model and hybrid loss function", In Proceedings of the 31st European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020), 14-18 September 2020, Ghent, Belgium (Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig J. Saunders, Sofie Van Hoecke, eds.), Springer International Publishing, pp. 355–368, 2020. Comment: CORE Ranking (2018): A [bibtex] [doi]
[69]Wisuwat Sunhem and Kitsuchart Pasupa, "A scenario-based analysis of front-facing camera eye tracker for UX-UI survey on mobile banking app", In Proceedings of the 12th International Conference on Knowledge and Smart Technology (KST 2020), 29 January - 1 February 2020, Pattaya, Thailand, IEEE, pp. 80–85, 2020. [bibtex] [doi]
[68]Wanthanee Rathasamuth and Kitsuchart Pasupa, "Efficient distributed SNP selection by a modified binary flower pollination algorithm", In Proceedings of the 11th International Conference on Advances in Information Technology (IAIT 2020), 1-3 July 2020, Bangkok, Thailand, ACM, pp. 1–7, 2020. [bibtex] [doi]
[67]Zongying Liu and Kitsuchart Pasupa, "Online sequential extreme learning machine based intrinsic plasticity for classification", In Proceedings of the 12th International Conference on Information Technology and Electrical Engineering (ICITEE 2020), 6-8 October 2020, Yogyakarta, Indonesia, IEEE, pp. 374–379, 2020. [bibtex] [pdf] [doi]
[66]Phongsathorn Kittiworapanya and Kitsuchart Pasupa, "An image segment-based classification for chest X-ray image", In Proceedings of the 11th International Conference on Computational Systems-Biology and Bioinformatics (CSBio 2020), 19-21 November 2020, Bangkok, Thailand, ACM, pp. 68–74, 2020. [bibtex] [pdf] [doi]
2019
[65]Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa, "Real-time financial data prediction using meta-cognitive recurrent kernel online sequential extreme learning machine", In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP 2019), 12-15 December 2019, Sydney, Australia (Tamás Gedeon, Kevin Wong, Minho Lee, eds.), Springer International Publishing, pp. 488–498, 2019. Comment: CORE Ranking (2018): A [bibtex] [doi]
[64]Kitsuchart Pasupa and Thanawat Lodkaew, "A new approach to automatic heat detection of cattle in video", In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP 2019), 12-15 December 2019, Sydney, Australia (Tamás Gedeon, Kevin Wong, Minho Lee, eds.), Springer International Publishing, pp. 330–337, 2019. Comment: CORE Ranking (2018): A [bibtex] [doi]
[63]Boonyarith Piriyothinkul, Kitsuchart Pasupa and Masanori Sugimoto, "Detecting text in manga using stroke width transform", In Proceedings of the 11th International Conference on Knowledge and Smart Technology (KST 2019), 23-26 January 2019, Phuket, Thailand, IEEE, pp. 142–147, 2019. [bibtex] [doi]
[62]Wanthanee Rathasamuth and Kitsuchart Pasupa, "A modified binary flower pollination algorithm: a fast and effective combination of feature selection techniques for SNP classification", In Proceedings of the 11th International Conference on Information Technology and Electrical Engineering (ICITEE 2019), 10-11 October 2019, Pattaya, Thailand, IEEE, pp. 1–6, 2019. [bibtex] [doi]
2018
[61]Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa, "Handling concept drift in time-series data: meta-cognitive recurrent recursive-kernel OS-ELM", In Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2018), 14-16 December 2018, Siem Reap, Cambodia (Long Cheng, Andrew C.S. Leung, Seiichi Ozawa, eds.), Springer International Publishing, pp. 3–13, 2018. Comment: CORE Ranking (2017): A [bibtex] [doi]
[60]Wanthanee Rathasamuth, Kitsuchart Pasupa and Sissades Tongsima, "SNP selection for porcine breed classification by a hybrid information gain and genetic algorithm", In Proceedings of the 4th Joint Symposium on Computational Intelligence (JSCI5), 2 February 2018, Bangkok, Thailand, pp. 10–11, 2018. [bibtex] [pdf]
[59]Supawit Vatathanavaro, Suchat Tungjitnob and Kitsuchart Pasupa, "White blood cell classification: a comparison between VGG16 and ResNet50 model", In Proceedings of the 6th Joint Symposium on Computational Intelligence (JSCI6), 12 December 2018, Bangkok, Thailand, pp. 4–5, 2018. [bibtex] [pdf]
[58]Chanawee Chavaltada, Kitsuchart Pasupa and David R. Hardoon, "Combining multiple features for product categorisation by multiple kernel learning", In Proceedings of the 14th International Conference on Computing and Information Technology (IC2IT 2018), 5-6 July 2018, Chiang Mai, Thailand (Herwig Unger, Sunantha Sodsee, Phayung Meesad, eds.), Springer International Publishing, pp. 3–12, 2018. [bibtex] [doi]
[57]Thanawat Lodkaew, Weeruhputt Supsohmboon, Kitsuchart Pasupa and Chu Kiong Loo, "Fashion Finder: a system for locating online stores on Instagram from product images", In Proceedings of the 10th International Conference on Information Technology and Electrical Engineering (ICITEE 2018), 24-26 July 2018, Bali, Indonesia, IEEE, pp. 288–293, 2018. [bibtex] [doi]
[56]Boonyarith Piriyothinkul, Patcharapon Joksamut and Kitsuchart Pasupa, "The disaster victim locating system with a smartphone without a telecommunication system", In Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering (JCSSE 2018), 11-13 July 2018, Nakhon Pathom, Thailand, IEEE, pp. 327–332, 2018. [bibtex] [doi]
[55]Thititorn Seneewong Na Ayutthaya and Kitsuchart Pasupa, "Thai sentiment analysis via bidirectional LSTM-CNN model with embedding vectors and sentic features", In Proceedings of the 13th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2018), 15-17 November 2018, Pattaya, Thailand, IEEE, pp. 84–89, 2018. [bibtex] [doi]
[54]Ek Thamwiwatthana, Kitsuchart Pasupa and Sissades Tongsima, "Selection of SNP subsets for severity of beta-thalassaemia classification problem", In Proceedings of the 9th International Conference on Computational Systems-Biology and Bioinformatics (CSBio 2018), 10-13 December 2018, Bangkok, Thailand, ACM, pp. 1–7, 2018. [bibtex] [doi]
2017
[53]Chanawee Chavaltada, Kitsuchart Pasupa and David R. Hardoon, "A comparative study of machine learning techniques for automatic product categorisation", In Proceedings of the 14th International Symposium on Neural Networks (ISNN 2017), 21-23 June 2017, Hokkaido, Japan (Fengyu Cong, Andrew Leung, Qinglai Wei, eds.), Springer International Publishing, pp. 10–17, 2017. Comment: CORE Ranking (2014): C [bibtex] [doi]
[52]Habeebah Adamu Kakudi, Chu Kiong Loo and Kitsuchart Pasupa, "Risk quantification of metabolic syndrome with quantum particle swarm optimisation", In Proceedings of the 26th International Conference on World Wide Web (WWW 2017) - Companion, 3-7 April 2017, Perth, Australia, ACM Press, pp. 1141–1147, 2017. Comment: CORE Ranking (2014): A* [bibtex] [doi]
[51]Kitsuchart Pasupa, Wisuwat Sunhem, Chu Kiong Loo and Yoshimitsu Kuroki, "Can eye movement improve prediction performance on human emotions toward images classification?", In Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2017), 14-18 November 2017, Guangzhou, China (Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy, eds.), Springer International Publishing, pp. 830–838, 2017. Comment: CORE Ranking (2014): A [bibtex] [doi]
[50]Kittipop Peuwnuan, Kuntpong Woraratpanya, Kitsuchart Pasupa and Yoshimitsu Kuroki, "Local variance image-based for scene text binarization under illumination effects", In Proceedings of the 2nd International Conference on Image, Vision and Computing (ICIVC 2017), 2-4 June 2017, Chengdu, China, IEEE, pp. 798–802, 2017. [bibtex] [doi]
[49]Zongying Liu, Chu Kiong Loo, Naoki Masuyama and Kitsuchart Pasupa, "Multiple steps time series prediction by a novel recurrent kernel extreme learning machine approach", In Proceedings of the 9th International Conference on Information Technology and Electrical Engineering (ICITEE 2017), 12-13 October 2017, Phuket, Thailand, IEEE, pp. SIG5.5, 2017. [bibtex] [doi]
[48]Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa, "Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction", In Proceedings of the 10th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), 27 Nov-1 Dec 2017, Honolulu, Hawaii, USA, IEEE, pp. 1447–1453, 2017. [bibtex] [doi]
2016
[47]Syukron Abu Ishaq Alfarozi, Noor Akhmad Setiawan, Teguh Bharata Adji, Kuntpong Woraratpanya and Kitsuchart Pasupa, "Analytical incremental learning: fast constructive learning method for neural network", In Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), 16-21 October 2016, Kyoto, Japan (Hirose, Akira, Ozawa, Seiichi, Doya, Kenji, Ikeda, Kazushi, Lee, Minho, Liu, Derong, eds.), Springer International Publishing, pp. 259–268, 2016. Comment: CORE Ranking (2014): A [bibtex] [doi]
[46]Syukron Abu Ishaq Alfarozi, Kuntpong Woraratpanya and Kitsuchart Pasupa, "Hinge loss projection for classification", In Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), 16-21 October 2016, Kyoto, Japan (Hirose, Akira, Ozawa, Seiichi, Doya, Kenji, Ikeda, Kazushi, Lee, Minho, Liu, Derong, eds.), Springer International Publishing, pp. 250–258, 2016. Comment: CORE Ranking (2014): A [bibtex] [doi]
[45]Wasu Kudisthalert and Kitsuchart Pasupa, "Clustering-based weighted extreme learning machine for classification in drug discovery process", In Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), 16-21 October 2016, Kyoto, Japan (Hirose, Akira, Ozawa, Seiichi, Doya, Kenji, Ikeda, Kazushi, Lee, Minho, Liu, Derong, eds.), Springer International Publishing, pp. 441–450, 2016. Comment: CORE Ranking (2014): A [bibtex] [doi]
[44]Ponrudee Netisopakul, Ratthawut Lertsuksakda and Kitsuchart Pasupa, "Hypothesis testing based on observation from Thai sentiment classification", In Proceedings of the 21st International Symposium on Artificial Life and Robotics (AROB 2016), 20-22 Jan 2016, Beppu, Japan, pp. 8–13, 2016. Comment: CORE Ranking (2014): C [bibtex]
[43]Kitsuchart Pasupa, Panawee Chatkamjuncharoen, Chotiros Wuttilertdeshar and Masanori Sugimoto, "Using image features and eye tracking device to predict human emotions towards abstract images", In Proceedings of the 7th Pacific Rim Symposium on Image and Video Technology (PSIVT 2015), 23-27 November 2015, Auckland, New Zealand (Thomas Bräunl, Brendan McCane, Mariano Rivers, Xinguo Yu, eds.), Springer International Publishing, pp. 419–430, 2016. Comment: CORE Ranking (2014): B [bibtex] [doi]
[42]Wisuwat Sunhem, Kitsuchart Pasupa and Piyakorn Jansiripitikul, "Hairstyle recommendation system for women (In Thai)", In Proceedings of the 12th National Conference on Computing and Information Technology (NCCIT 2016), 7-8 July 2016, Khon Kaen, Thailand, pp. 1–6, 2016. [bibtex]
[41]Wasu Kudisthalert and Kitsuchart Pasupa, "A coefficient comparison of weighted similarity extreme learning machine for drug screening", In Proceedings of the 8th International Conference on Knowledge and Smart Technology (KST 2016), 3-6 February 2016, Chiang Mai, Thailand, IEEE, pp. 43–48, 2016. [bibtex] [doi]
[40]Wisuwat Sunhem and Kitsuchart Pasupa, "An approach to face shape classification for hairstyle recommendation", In Proceedings of the 8th International Conference on Advanced Computational Intelligence (ICACI 2016), 14-16 February 2016, Chiang Mai, Thailand, IEEE, pp. 390–394, 2016. [bibtex] [doi]
[39]Wisuwat Sunhem, Kitsuchart Pasupa and Piyakorn Jansiripitikul, "Hairstyle recommendation system for women", In Proceedings of the 5th ICT International Student Project Conference (ICT-ISPC 2016), 27-28 May 2016, Nakhon Pathom, Thailand, IEEE, pp. 166–169, 2016. [bibtex] [doi]
[38]Sarawut Bussadee, Sittipong Suwannatria, Arnon Chonrawut, Ek Thamwiwatthana and Kitsuchart Pasupa, "Inside Me: a proposal healthcare mobile application", In Proceedings of the 5th ICT International Student Project Conference (ICT-ISPC 2016), 27-28 May 2016, Nakhon Pathom, Thailand, IEEE, pp. 85–88, 2016. [bibtex] [doi]
[37]Kittipop Peuwnuan, Kuntpong Woraratpanya and Kitsuchart Pasupa, "Modified adaptive thresholding using integral image", In Proceedings of the 13th International Joint Conference on Computer Science and Software Engineering (JCSSE 2016), 13-15 July 2016, Khon Kaen, Thailand, IEEE, pp. 1–5, 2016. [bibtex] [doi]
[36]Kitsuchart Pasupa and Wisuwat Sunhem, "A comparison between shallow and deep architecture classifiers on small dataset", In Proceedings of the 8th International Conference on Information Technology and Electrical Engineering (ICITEE 2016), 5-6 October 2016, Yogyakarta, Indonesia, IEEE, pp. 390–395, 2016. [bibtex] [doi] [citations]
[35]Phassarun Iamamphai, Jeerana Noymanee, Wimol San-Um and Kitsuchart Pasupa, "Investigations and comparisons of government open data websites through systematic functional analysis and efficient promotion approach", In Proceedings of the 3rd Management and Innovation Technology International Conference (MITiCON 2016), 12-14 October 2016, Bang-Saen, Thailand, IEEE, pp. 142–147, 2016. [bibtex] [doi]
[34]Kitsuchart Pasupa and Siripen Jungjareantrat, "Water levels forecast in Thailand: A case study of Chao Phraya river", In Proceedings of the 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016), 13-15 November 2016, Phuket, Thailand, IEEE, pp. 1–6, 2016. Comment: CORE Ranking (2014): A [bibtex] [doi]
2015
[33]Sittipong Apichartstaporn, Kitsuchart Pasupa and Yoshikazu Washizawa, "Vibrotactile brain-computer interface with error-detecting codes", In Proceedings of the 5th International Conference on Cognitive Neurodynamics (ICCN 2015), 3-7 Jun 2015, Sanya, China (Rubin Wang, Xiaochuan Pan, eds.), Springer Singapore, pp. 355–361, 2015. [bibtex] [doi]
[32]Ratthawut Lertsuksakda, Kitsuchart Pasupa and Ponrudee Netisopakul, "Sentiment analysis on Thai children stories with support vector machine", In Proceedings of the 20th International Symposium on Artificial Life and Robotics (AROB 2015), 21-23 Jan 2015, Beppu, Japan, pp. 138–142, 2015. Comment: CORE Ranking (2014): C [bibtex] [pdf]
[31]Suthasinee Nopparit, Natapon Pantuwong and Kitsuchart Pasupa, "A comparative study of automatic dairy cow detection using image processing techniques", In Proceedings of the 20th International Symposium on Artificial Life and Robotics (AROB 2015), 21-23 Jan 2015, Beppu, Japan, pp. 445–450, 2015. Comment: CORE Ranking (2014): C [bibtex] [pdf]
[30]Kitsuchart Pasupa, Panawee Chatkamjuncharoen and Chotiros Wuttilertdeshar, "Prediction of human emotions by image features and eye movements (In Thai)", In Proceedings of the 7th National Conference on Information Technology (NCIT 2015), 29-30 October 2015, Chiang Mai, Thailand, pp. 298–303, 2015. [bibtex]
[29]Kitsuchart Pasupa and Sandor Szedmak, "Learning to predict where people look with tensor-based multi-view learning", In Proceedings of the 22nd International Conference on Neural Information Processing (ICONIP 2015), 9-12 November 2015, Istanbul, Turkey (Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu, eds.), Springer International Publishing, pp. 432–441, 2015. Comment: CORE Ranking (2014): A [bibtex] [doi]
[28]Trust Rukkunnatham, Chodok Posew and Kitsuchart Pasupa, "Driving simulator system", In Proceedings of the 7th National Conference on Information Technology (NCIT 2015), 29-30 October 2015, Chiang Mai, Thailand, pp. 57–62, 2015. [bibtex]
[27]Nutchaphon Rewik, Kittipop Peuwnuan, Kuntpong Woraratpanya and Kitsuchart Pasupa, "Particle-flow interactive animation for painting image", In Proceedings of the 7th International Conference on Information Technology and Electrical Engineering (ICITEE 2015), 29-30 Oct 2015, Chiang Mai, Thailand, IEEE, pp. 237–240, 2015. [bibtex] [doi]
[26]Panupon Usachokcharoen, Yoshikazu Washizawa and Kitsuchart Pasupa, "Sign language recognition with Microsoft Kinect’s depth and colour sensors", In Proceedings of the International Conference on Signal and Image Processing Applications (ICSIPA 2015), 19-21 October 2015, Kuala Lumpur, Malaysia, IEEE, pp. 186–190, 2015. [bibtex] [doi]
2014
[25]Kittipun Khantitrirat, Chayaphol Prapaipornlert and Kitsuchart Pasupa, "The development of music information retrieval system on iOS (In Thai)", In Proceedings of the 10th National Conference on Computing and Information Technology (NCCIT 2014), 8-9 May 2014, Phuket, Thailand, pp. 683–688, 2014. [bibtex] [pdf]
[24]Suthasinee Nopparit, Natapon Pantuwong and Kitsuchart Pasupa, "Automatic detection algorithm of dairy cows in freestall barns using feature points matching", In Proceedings of the 2014 Regional Conference on Computer and Information Engineering (RCCIE 2014), 7-8 October 2014, Yogyakarta, Indonesia, pp. 70–74, 2014. [bibtex]
[23]Kittaboon Panjarattankorn, Ubolwan Chaovanakij and Kitsuchart Pasupa, "The development of next generation sequencing tool for annotation and variant filtrating of human nucleotide alteration (In Thai)", In Proceedings of the 10th National Conference on Computing and Information Technology (NCCIT 2014), 8-9 May 2014, Phuket, Thailand, pp. 115–120, 2014. [bibtex] [pdf]
[22]Sarawuth Rungcharoenkit and Kitsuchart Pasupa, "The development of automatic programming exercise verification system (In Thai)", In Proceedings of the 10th National Conference on Computing and Information Technology (NCCIT 2014), 8-9 May 2014, Phuket, Thailand, pp. 258–263, 2014. [bibtex] [pdf]
[21]Ratthawut Lertsuksakda, Ponrudee Netisopakul and Kitsuchart Pasupa, "Thai sentiment terms construction using the Hourglass of Emotions", In Proceedings of the 6th International Conference on Knowledge and Smart Technology (KST 2014), 30-31 January 2014, Chonburi, Thailand, IEEE, pp. 46–50, 2014. [bibtex] [doi]
[20]Ungsumalee Suttapakti, Kuntpong Woraratpanya, Kitsuchart Pasupa, Pimlak Boonchukusol, Taravichet Titijaroonroj, Rattaphon Hokking, Yoshimitsu Kuroki and Yasushi Kato, "Text-background decomposition for Thai text localization and recognition in natural scenes", In Proceedings of the 6th International Conference on Information Technology and Electrical Engineering (ICITEE 2014), 7-8 Oct 2014, Yogyakarta, Indonesia, IEEE, pp. 138–143, 2014. [bibtex] [doi]
2013
[19]Kitsuchart Pasupa, "A comparison of dimensionality reduction techniques in virtual screening", In Proceedings of the 12th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2013), 9-13 June 2013, Zakopane, Poland (Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, eds.), Springer Berlin Heidelberg, pp. 297–308, 2013. Comment: ERA Ranking (2010): C [bibtex] [doi]
[18]Ungsumalee Suttapakti, Kuntpong Woraratpanya and Kitsuchart Pasupa, "Font descriptor construction for printed Thai character recognition", In Proceedings of the 13th IAPR Conference on Machine Vision Applications (MVA 2013), 21-23 May 2013, Kyoto, Japan, pp. 45-48, 2013. Comment: ERA Ranking (2010): C [bibtex] [pdf]
[17]Krit Thangchoeywilai and Kitsuchart Pasupa, "Wonderland of Laddie: an adventure game on Windows 8 and Windows RT (In Thai)", In Proceedings of the 5th Conference on Application Research and Development (ECTI-CARD 2013), 8-10 May 2013, Nakornratchasima, Thailand, pp. 127-132, 2013. [bibtex]
[16]Krit Thangchoeywilai and Kitsuchart Pasupa, "Wonderland of Laddie: an adventure game on Windows 8 and Windows RT", In Proceedings of the 2nd ICT International Senior Project Conference (ICT-ISPC 2013), 28-29 March 2013, Nakhon Pathom, Thailand, pp. 90-93, 2013. [bibtex]
[15]Kitsuchart Pasupa and Ek Thamwiwatthana, "Prediction of reference evapotranspiration with missing data in Thailand", In Proceedings of the 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013), 7-8 October 2013, Yogyakarta, Indonesia, IEEE, pp. 181-186, 2013. [bibtex] [doi]
[14]Kitsuchart Pasupa, Zakria Hussain, John Shawe-Taylor and Peter Willett, "Drug screening with elastic-net multiple kernel learning", In Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2013), 10-13 November 2013, Chania, Greece, IEEE, pp. 1–5, 2013. Comment: ERA Ranking (2010): C [bibtex] [doi]
2012
[13]Kitsuchart Pasupa, "Prediction by posterior estimation in virtual screening", In Proceedings of the 2nd International Conference on Engineering, Applied Sciences, and Technology (ICEAST 2012), 21-24 November 2012, Bangkok, Thailand, pp. 165-170, 2012. [bibtex]
[12]Kitsuchart Pasupa, "Sparse Fisher discriminant analysis with Jeffrey’s hyperprior", In Proceedings of the 1st International Conference on Control, Automation & Information Sciences (ICCAIS 2012), 26-29 November 2012, Ho Chi Minh City, Vietnam, IEEE, pp. 36-41, 2012. [bibtex] [doi]
2011
[11]Kitsuchart Pasupa and Ponrudee Netisopakul, "Thai paragraph shortening based on binary classification model", In Proceedings of the Joint International Symposium on Natural Language Processing and Agricultural Ontology Service (SNLP-AOS 2011), 9-10 February 2012, Bangkok, Thailand, pp. 181-185, 2011. [bibtex] [url]
2010
[10]Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa and John Shawe-Taylor, "Pinview: Implicit feedback in content-based image retrieval", In Proceedings of the Workshop on Applications of Pattern Analysis (WAPA 2010), 1-2 September 2010, Cumberland Lodge, UK (Tom Diethe, Nello Cristianini, John Shawe-Taylor, eds.), pp. 51-57, 2010. [bibtex] [pdf]
[9]Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa and John Shawe-Taylor, "Pinview: Implicit feedback in content-based image retrieval", In Proceedings of the 27th International Conference on Machine Learning (ICML 2010) Workshop on Reinforcement Learning and Search in Very Large Spaces, 25 June 2010, Haifa, Israel, pp. 1-4, 2010. [bibtex] [url]
[8]David R. Hardoon, Kitsuchart Pasupa and John Shawe-Taylor, "Image ranking with implicit feedback from eye movements", In Proceedings of the 6th Biennial Symposium on Eye Tracking Research & Applications (ETRA 2010), 22-24 March 2010, Austin, USA (Carlos Hitoshi Morimoto, Howell O. Istance, Aulikki Hyrskykari, Qiang Ji, eds.), ACM Press, pp. 291-298, 2010. [bibtex] [url] [doi]
[7]Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer and John Shawe-Taylor, "Exploration-exploitation of eye movement enriched multiple feature spaces for content-based image retrieval", In Proceedings of the 21st European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2010), 20-24 September 2010, Barcelona, Spain (José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag, eds.), Springer Berlin Heidelberg, pp. 554–569, 2010. Comment: ERA Ranking (2008): A [bibtex] [doi]
[6]Zakria Hussain, Kitsuchart Pasupa and John Shawe-Taylor, "Learning relevant eye movement feature spaces across users", In Proceedings of the 6th Biennial Symposium on Eye Tracking Research & Applications (ETRA 2010), 22-24 March 2010, Austin, USA (Carlos Hitoshi Morimoto, Howell O. Istance, Aulikki Hyrskykari, Qiang Ji, eds.), ACM Press, pp. 181-185, 2010. [bibtex] [url] [doi]
2009
[5]Kitsuchart Pasupa, Sandor Szedmak and David R. Hardoon, "Image ranking with eye movements", In Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009) Workshop on Advance in Rankings, 11 December 2009, Whistler, Canada (Shivani Agarwal, Chris Burges, Koby Crammer, eds.), pp. 37-42, 2009. [bibtex] [url]
[4]Kitsuchart Pasupa, Craig J. Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski and Steve R. Gunn, "Learning to rank images from eye movements", In Proceedings of the 12th International Conference on Computer Vision (ICCV 2009) Workshops on Human-Computer Interaction (HCI 2009), 27 September-4 October 2009, Kyoto, Japan, IEEE, pp. 2009-2016, 2009. [bibtex] [url] [doi]
2007
[3]Kitsuchart Pasupa, Robert F. Harrison and Peter Willett, "Parsimonious kernel Fisher discrimination", In Proceedings of the 3rd Iberian Conference on Pattern Recognition and Image Analysis, 6-8 June 2007, Girona, Spain (Joan Martí, José-Miguel Benedí, Ana Maria Mendonça, Joan Serrat, eds.), Springer Berlin Heidelberg, pp. 531-538, 2007. [bibtex] [url] [doi]
2004
[2]Sanchai Dechanupaprittha, Issarachai Ngamroo, Kitsuchart Pasupa, Jarurote Tippayachai, Komsan Hongesombut and Yasunori Mitani, "New heuristic-based design of robust power system stabilizers", In Proceedings of the International Conference on Power System Technology (POWERCON 2004), 21-24 November 2004, Singapore, IEEE, pp. 618–623, 2004. [bibtex] [doi]
[1]Komsan Hongesombut, Yasunori Mitani, Sanchai Dechanupaprittha, Issarachai Ngamroo, Kitsuchart Pasupa and Jarurote Tippayachai, "Power system stabilizer tuning based on multiobjective design using hierarchical and parallel micro genetic algorithm", In Proceedings of the International Conference on Power System Technology (POWERCON 2004), 21-24 November 2004, Singapore, IEEE, pp. 402–407, 2004. [bibtex] [doi]

Thesis (4)

2007
[4]Kitsuchart Pasupa, "Data mining and decision support in pharmaceutical databases", PhD thesis, Department of Automatic Control & Systems Engineering, University of Sheffield, 2007. [bibtex]
2004
[3]Kitsuchart Pasupa, "Intelligent Decision Support in a Safety-Critical Setting", Master's thesis, Department of Automatic Control & Systems Engineering, University of Sheffield, 2004. [bibtex]
2003
[2]Kitsuchart Pasupa, "Application of Modern Heuristic Methods to Robust Design of Power System Damping Controllers in Multimachine", 2003. [bibtex]
2002
[1]Kitsuchart Pasupa and Vissawat Techapalalert, "Application of Tabu Search Algorithm to Robust Design of Power System Damping Controllers", 2002. [bibtex]

Abstract (2)

2009
[2]Kitsuchart Pasupa, Arto Klami, Craig J. Saunders, Teofilo de Campos and Samuel Kaski, "Can relevance of images be inferred from eye movements?", pp. 50, 2009. [bibtex]
2007
[1]Kitsuchart Pasupa, "Prediction by nonparametric posterior estimation in virtual screening", 2007. [bibtex]

Technical Reports (9)

2014
[9]Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen and John Shawe-Taylor, "Pinview: Implicit feedback in content-based image retrieval", Technical report, ArXiv 1410.0471, pp. 1-12, 2014. [bibtex] [url]
2010
[8]Antti Ajanki, Zakria Hussain, Jorma Laaksonen, Kitsuchart Pasupa, Alex Po Leung, Teemu Ruokolainen, Rudolf Traunmüller and He Zhang, "Prototype framework implementation, stage II", Technical report, Pinview Deliverable D.8.5.2, 2010. [bibtex] [url]
[7]Peter Auer, Steve R. Gunn, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Sasan Mahmoodi, Ivan Markovsky, Kitsuchart Pasupa, Amirthalingam Ramanan, John Shawe-Taylor and Sandor Szedmak, "Summary of personal information navigator experiments", Technical report, Pinview Deliverable D.8.5.3, 2010. [bibtex] [url]
2009
[6]Teofilo de Campos, Gabriela Csurka, Florent Perronnin, Julian McAuley, Martin Antenreiter, Ronald Ortner, Peter Auer, Ville Viitaniemi, Jorma Laaksonen, Kitsuchart Pasupa, Craig J. Saunders, Zakria Hussain and John Shawe-Taylor, "Description and evaluation of techniques for transfer learning across sub-categories", Technical report, Pinview Deliverable D.6.3, 2009. [bibtex] [url]
[5]Arto Klami, Samuel Kaski, Kitsuchart Pasupa, Sandor Szedmak, Steve R. Gunn, David R. Hardoon and Gabriela Csurka, "Predicting relevance of parts of an image", Technical report, Pinview Deliverable D.2.2, 2009. [bibtex] [url]
[4]Kitsuchart Pasupa, Craig J. Saunders, Sandor Szedmak, Steve R. Gunn, David R. Hardoon, Arto Klami, Samuel Kaski, Alex Po Leung and Peter Auer, "Ranking algorithms for implicit feedback", Technical report, Pinview Deliverable D.5.1, 2009. [bibtex] [url]
2008
[3]Teofilo de Campos, Gabriela Csurka, Florent Perronnin, Zakria Hussain, John Shaew-Taylor, Kitsuchart Pasupa, Craig J. Saunders, Haider Ali, Martin Antenreiter, Ronald Ortner, Peter Auer, Ville Viitaniemi and Jorma Laaksonen, "Description, analysis and evaluation of confidence estimation procedures for sub-categorisation", Technical report, Pinview Deliverable D.6.2.1, 2008. [bibtex] [url]
[2]Zakria Hussain, John Shawe-Taylor, Craig J. Saunders and Kitsuchart Pasupa, "Basic metric learning", Technical report, Pinview Deliverable D.3.1, 2008. [bibtex] [url]
[1]Arto Klami, Samuel Kaski, Kitsuchart Pasupa, Craig J. Saunders and Teofilo de Campos, "Prediction of relevance of an image from a scan pattern", Technical report, Pinview Deliverable D.2.1, 2008. [bibtex] [url]

Petty Patent (1)

2021
[1]Kitsuchart Pasupa and Thanawat Lodkaew, "An approach to detect heat behaviour in cattle", Department of Intellectual Property, Thailand, 2021. [bibtex] [url]

Talks (8)

2025
[8]Kitsuchart Pasupa, "AI for Orthopedic: Applications & Opportunities", 2025. [bibtex] [url]
[7]Kitsuchart Pasupa, "Responsible AI and Explainable AI: What are they?", 2025. [bibtex] [url]
2023
[6]Kitsuchart Pasupa, "Hate speech detection in low-resource Thai language", 2023. [bibtex] [html]
2017
[5]Kitsuchart Pasupa, "Data in action", 2017. [bibtex]
2016
[4]Kitsuchart Pasupa, "Computational Intelligence, Machine Learning, and Applications", 2016. [bibtex]
2014
[3]Kitsuchart Pasupa, "Using Eye Movements in Image Retrieval", 2014. [bibtex]
2008
[2]Kitsuchart Pasupa, "Data mining and decision support in pharmaceutical databases", 2008. [bibtex]
2005
[1]Kitsuchart Pasupa, "The comparison of similarity coefficients in binary kernel density estimation", 2005. [bibtex]