Kitsuchart Pasupa

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Chu Kiong LooProfessor of Computer Science, University of MalayaDirección de correo verificada de um.edu.my
David R. HardoonUniversity College LondonDirección de correo verificada de cs.ucl.ac.uk
Samuel KaskiProfessor, Aalto University and University of ManchesterDirección de correo verificada de aalto.fi
John Shawe-TaylorUCLDirección de correo verificada de cs.ucl.ac.uk
Arto KlamiAssociate Professor, University of HelsinkiDirección de correo verificada de cs.helsinki.fi
Masanori SugimotoHokkaido University, University of TokyoDirección de correo verificada de ist.hokudai.ac.jp
Craig SaundersAmazon IncDirección de correo verificada de amazon.com
Peter AuerMontanuniversität LeobenDirección de correo verificada de unileoben.ac.at
Robert F HarrisonUniversity of SheffieldDirección de correo verificada de sheffield.ac.uk
Sandor SzedmakDepartment of Computer Science, Aalto UniversityDirección de correo verificada de aalto.fi
Peter WillettEmeritus professor, University of SheffieldDirección de correo verificada de sheffield.ac.uk
Steve GunnProfessor of Electronics and Computer Science, University of SouthamptonDirección de correo verificada de ecs.soton.ac.uk
Teofilo Emidio de CamposMicrosoft and University of BrasíliaDirección de correo verificada de unb.br
Dr. Sriparna SahaAssociate Professor, Department of Computer Science and Engineering, Indian Institute of TechnologyDirección de correo verificada de iitp.ac.in
Gabriela CsurkaPrincipal Scientist at Naver Labs EuropeDirección de correo verificada de naverlabs.com

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Kitsuchart Pasupa

School of Information Technology, King Mongkut's Institute of Technology Ladkrabang

Dirección de correo verificada de it.kmitl.ac.th - Página principal

Machine Learning Pattern Recognition Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A comparison between shallow and deep architecture classifiers on small dataset K Pasupa, W Sunhem 2016 8th International Conference on Information Technology and Electrical …, 2016	215	2016
Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features K Pasupa, T Seneewong Na Ayutthaya Sustainable Cities and Society 50, 101615, 2019	71	2019
Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification K Pasupa, S Vatathanavaro, S Tungjitnob Journal of Ambient Intelligence and Humanized Computing 14 (11), 15259-15275, 2023	64	2023
Image ranking with implicit feedback from eye movements DR Hardoon, K Pasupa Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010	49	2010
An approach to face shape classification for hairstyle recommendation W Sunhem, K Pasupa 2016 Eighth International Conference on Advanced Computational Intelligence …, 2016	46	2016
Virtual screening using binary kernel discrimination: effect of noisy training data and the optimization of performance B Chen, RF Harrison, K Pasupa, P Willett, DJ Wilton, DJ Wood, XQ Lewell Journal of chemical information and modeling 46 (2), 478-486, 2006	43	2006
A hybrid approach to building face shape classifier for hairstyle recommender system K Pasupa, W Sunhem, CK Loo Expert Systems with Applications 120, 14-32, 2019	42	2019
Evaluation of deep learning algorithms for semantic segmentation of car parts K Pasupa, P Kittiworapanya, N Hongngern, K Woraratpanya Complex & Intelligent Systems 8 (5), 3613-3625, 2022	38	2022
Pinview: Implicit feedback in content-based image retrieval P Auer, Z Hussain, S Kaski, A Klami, J Kujala, J Laaksonen, A Leung, ... JMLR: Workshop and Conference Proceedings 11, 51-57, 2010	35	2010
A comparative study of machine learning techniques for automatic product categorisation C Chavaltada, K Pasupa, DR Hardoon Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017	34	2017
Learning to rank images from eye movements K Pasupa, CJ Saunders, S Szedmak, A Klami, S Kaski, SR Gunn 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009	34	2009
Hybrid Deep Learning Models for Thai Sentiment Analysis K Pasupa, T Seneewong Na Ayutthaya Cognitive Computation, 2020	33	2020
Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification K Pasupa, S Tungjitnob, S Vatathanavaro Multimedia tools and applications 79 (45), 34209-34226, 2020	31	2020
A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction Z Liu, CK Loo, K Pasupa Sustainable Cities and Society 66, 102613, 2021	28	2021
Counting and classification of malarial parasite from giemsa-stained thin film images W Kudisthalert, K Pasupa, S Tongsima IEEE Access 8, 78663-78682, 2020	24	2020
Thai Sentiment Analysis via Bidirectional LSTM-CNN Model with Embedding Vectors and Sentic Features T Seneewong Na Ayutthaya, K Pasupa The 13th International Joint Symposium on Artificial Intelligence and …, 2018	24*	2018
CowXNet: An automated cow estrus detection system T Lodkaew, K Pasupa, CK Loo Expert Systems with Applications 211, 118550, 2023	23	2023
Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling Z Liu, CK Loo, K Pasupa, M Seera Engineering Applications of Artificial Intelligence 88, 103327, 2020	23	2020
Recurrent kernel extreme reservoir machine for time series prediction Z Liu, CK Loo, N Masuyama, K Pasupa IEEE Access 6, 19583-19596, 2018	23	2018
Modified adaptive thresholding using integral image K Peuwnuan, K Woraratpanya, K Pasupa 2016 13th International Joint Conference on Computer Science and Software …, 2016	23	2016

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