B. Kijsirikul

发表

Using Neural Network to Weight the Partial Rules : Application to Classification of Dopamine Antagonist Molecules

M. Numao, T. Okada, S. Sinthupinyo, 2004 .

Generalization of Clauses Containing Cross Connections

B. Kijsirikul, Chotiros Surapholchai, Mark E. Hall, 2002 .

Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines

Boonserm Kijsirikul, W. Rivepiboon, B. Kijsirikul, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Combining Trigram and Winnow in Thai OCR Error Correction

Boonserm Kijsirikul, Cholwich Nattee, Ananlada Chotimongkol, 1998, COLING.

Evolutionary Support Vector Regression based on Multi-Scale Radial Basis Function Kernel

B. Kijsirikul, Tanasanee Phienthrakul, 2022 .

Voice Impersonation for Thai Speech Using CycleGAN over Prosody

B. Kijsirikul, Nuttakorn Thubthong, Chatri Chuangulueam, 2022, MSIE.

Extraction and Calculation of Roadway Area from Satellite Images Using Improved Deep Learning Model and Post-Processing

Y. Iwahori, M. Bhuyan, Aili Wang, 2022, J. Imaging.

The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks

Y. Iwahori, B. Kijsirikul, Teerapong Panboonyuen, 2022, IEEE Access.

Mediastinal Lymph Node Detection and Segmentation Using Deep Learning

Y. Iwahori, B. Kijsirikul, Al-Akhir Nayan, 2022, IEEE Access.

Effective Crude Oil Trading Techniques Using Long Short-Term Memory and Convolution Neural Networks

B. Kijsirikul, Pittipol Kantavat, Wisaroot Lertthaweedech, 2022, Journal of Advances in Information Technology.

Fuzzy Logic and Genetic Algorithm for Optimizing the Approximate Match of Rules based on Backpropagation Neural Networks

Boonserm Kijsirikul, Jun Srisutapan, B. Kijsirikul, 2002, FSKD.

An Application of the Probabilistic Model to the Prediction of Student Graduation Using Bayesian Belief Network

Boonserm Kijsirikul, Prasong Praneetpolgrang, Jiraporn Yingkuachat, 1970 .

First-order logical neural networks

Boonserm Kijsirikul, Thanupol Lerdlamnaochai, B. Kijsirikul, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

Approximate Match of Rules Using Backpropagation Neural Networks

Boonserm Kijsirikul, Sukree Sinthupinyo, Kongsak Chongkasemwongse, 2001, Machine Learning.

Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition

Boonserm Kijsirikul, Sukree Sinthupinyo, S. Sinthupinyo, 1999, ILP.

A new kernelization framework for Mahalanobis distance learning algorithms

Boonserm Kijsirikul, Ratthachat Chatpatanasiri, Teesid Korsrilabutr, 2010, Neurocomputing.

Supervised and Unsupervised Learning Algorithms for Thai Web Pages Identification

Nuanwan Soonthornphisaj, Boonserm Kijsirikul, Puay Sasiphongpairoege, 2000, PRICAI.

Pseudometrics for Nearest Neighbor Classification of Time Series Data

Boonserm Kijsirikul, Teesid Korsrilabutr, B. Kijsirikul, 2009 .

Exploring the Spatial Effects of Built Environment on Quality of Life Related Transportation by Integrating GIS and Deep Learning Approaches

Y. Iwahori, Y. Hayashi, B. Kijsirikul, 2023, Sustainability.

Interdependent Multi-task Learning for Simultaneous Segmentation and Detection

Yuji Iwahori, Boonserm Kijsirikul, Manas Kamal Bhuyan, 2020, International Conference on Pattern Recognition Applications and Methods.

A Method for Isolated Thai Tone Recognition Using a Combination of Neural Networks

Boonserm Kijsirikul, Nuttakorn Thubthong, Apirath Pusittrakul, 2002, Comput. Intell..

Evolutionary strategies for multi-scale radial basis function kernels in support vector machines

Boonserm Kijsirikul, Tanasanee Phienthrakul, B. Kijsirikul, 2005, GECCO '05.

A Deep Neural Networks model for Restaurant Recommendation systems in Thailand

B. Kijsirikul, Apisara Saelim, 2022, ICMLC.

Enhancement of multi-class support vector machine construction from binary learners using generalization performance pdf

Boonserm Kijsirikul, Patoomsiri Songsiri, Thimaporn Phetkaew, 2013, Neurocomputing.

A step towards high quality one-class Collaborative Filtering using online social relationships

Boonserm Kijsirikul, Sirawit Sopchoke, B. Kijsirikul, 2011, 2011 International Conference on Advanced Computer Science and Information Systems.

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting pdf

Masayuki Numao, Boonserm Kijsirikul, Ken-ichi Fukui, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Learning First-Order Bayesian Networks

Boonserm Kijsirikul, Ratthachat Chatpatanasiri, B. Kijsirikul, 2003, Canadian Conference on AI.

Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals

Masayuki Numao, Boonserm Kijsirikul, Masamichi Shimura, 1991, ML.

A unified semi-supervised dimensionality reduction framework for manifold learning

Boonserm Kijsirikul, Ratthachat Chatpatanasiri, B. Kijsirikul, 2008, Neurocomputing.

Text data-augmentation using Text Similarity with Manhattan Siamese long short-term memory for Thai language

Boonserm Kijsirikul, Thananya Phreeraphattanakarn, B. Kijsirikul, 2021 .

Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2019, 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA).

Improved image classification explainability with high-accuracy heatmaps

E. Chuangsuwanich, S. Sriswasdi, B. Kijsirikul, 2022, iScience.

Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels

Boonserm Kijsirikul, Tanasanee Phienthrakul, B. Kijsirikul, 2010, Soft Comput..

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation

B. Kijsirikul, P. Vateekul, Piyawat Lertvittayakumjorn, 2022, Computational Linguistics.

Rational LAMOL: A Rationale-based Lifelong Learning Framework

Boonserm Kijsirikul, Peerapon Vateekul, Thanapapas Horsuwan, 2021, ACL.

Robust Principal Component Analysis Using Statistical Estimators pdf

Peratham Wiriyathammabhum, Boonserm Kijsirikul, B. Kijsirikul, 2012, ArXiv.

Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score

Peratham Wiriyathammabhum, Boonserm Kijsirikul, B. Kijsirikul, 2009, ICONIP.

A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2021, Sensors.

Tone Recognition of Continuous Thai Speech Under Tonal Assimilation and Declination Effects Using Half-Tone Model

Boonserm Kijsirikul, Nuttakorn Thubthong, B. Kijsirikul, 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Minkowski Metric for GARCH (1,1)

Jimson Mathew, Boonserm Kijsirikul, Kabin Kanjamapornkul, 2014, 2014 3rd International Conference on Eco-friendly Computing and Communication Systems.

Adaptive Directed Acyclic Graphs for Multiclass Classification

Boonserm Kijsirikul, Surapant Meknavin, Nitiwut Ussivakul, 2002, PRICAI.

Multiclass support vector machines using adaptive directed acyclic graph

Boonserm Kijsirikul, Nitiwut Ussivakul, B. Kijsirikul, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Efficient All-and-One Support Vector Machines Based on One-versus-All Data Inseparability

Boonserm Kijsirikul, Patoomsiri Songsiri, B. Kijsirikul, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Sub-classifier construction for error correcting output code using minimum weight perfect matching

Ryutaro Ichise, Boonserm Kijsirikul, Patoomsiri Songsiri, 2013, 2014 International Joint Conference on Neural Networks (IJCNN).

SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor

Boonserm Kijsirikul, Tanasanee Phienthrakul, Anantaporn Srisawat, 2006, PRICAI.

Decision tree pruning using backpropagation neural networks

Boonserm Kijsirikul, K. Chongkasemwongse, B. Kijsirikul, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms

Boonserm Kijsirikul, Anantaporn Srisawat, B. Kijsirikul, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

MRBF: A Method for Predicting HIV-1 Drug Resistance

Boonserm Kijsirikul, Anantaporn Srisawat, B. Kijsirikul, 2006, Intelligent Information Processing.

Using associative classification for predicting HIV-1 drug resistance

Boonserm Kijsirikul, Anantaporn Srisawat, B. Kijsirikul, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening pdf

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2019, ArXiv.

Sentiment Classification with Support Vector Machines and Multiple Kernel Functions

Boonserm Kijsirikul, Tanasanee Phienthrakul, Hiroya Takamura, 2009, ICONIP.

Evolving parameters of multi-scale radial basis function kernels for support vector machines

Boonserm Kijsirikul, Tanasanee Phienthrakul, B. Kijsirikul, 2007 .