Boonserm Kijsirikul

Peratham Wiriyathammabhum, Boonserm Kijsirikul, Hiroya Takamura, Manabu Okumura: Applying Deep Belief Networks to Word Sense Disambiguation. CoRR abs/1207.0396 (2012)

Peratham Wiriyathammabhum, Boonserm Kijsirikul: Robust Principal Component Analysis Using Statistical Estimators. CoRR abs/1207.0403 (2012)

Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul: A new kernelization framework for Mahalanobis distance learning algorithms. Neurocomputing 73(10-12): 1570-1579 (2010)

Ratthachat Chatpatanasiri, Boonserm Kijsirikul: A unified semi-supervised dimensionality reduction framework for manifold learning. Neurocomputing 73(10-12): 1631-1640 (2010)

Jittat Fakcharoenphol, Boonserm Kijsirikul: Short proofs for online multiclass prediction on graphs. Inf. Process. Lett. 110(8-9): 309-311 (2010)

Tanasanee Phienthrakul, Boonserm Kijsirikul: Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels. Soft Comput. 14(7): 681-699 (2010)

Ratthachat Chatpatanasiri, Prasertsak Pungprasertying, Boonserm Kijsirikul: Zone analysis: a visualization framework for classification problems. Artif. Intell. Rev. 31(1-4): 17-34 (2009)

Anantaporn Srisawat, Boonserm Kijsirikul: Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms. BMEI 2009: 1-5

Tanasanee Phienthrakul, Boonserm Kijsirikul, Hiroya Takamura, Manabu Okumura: Sentiment Classification with Support Vector Machines and Multiple Kernel Functions. ICONIP (2) 2009: 583-592

Peratham Wiriyathammabhum, Boonserm Kijsirikul: Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score. ICONIP (1) 2009: 708-715

Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho (Eds.): Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings. Lecture Notes in Computer Science 5476, Springer 2009, isbn 978-3-642-01306-5

Jittat Fakcharoenphol, Boonserm Kijsirikul: Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. ALT 2008: 464-466

Pittipol Kantavat, Boonserm Kijsirikul: Combining Technical Analysis and Support Vector Machine for Stock Trading. HIS 2008: 915-918

Teesid Korsrilabutr, Boonserm Kijsirikul: Pseudometrics for time series classification by nearest neighbor. IJCNN 2008: 1382-1389

Patoomsiri Songsiri, Boonserm Kijsirikul, Thimaporn Phetkaew: Information-based dichotomization: A method for multiclass Support Vector Machines. IJCNN 2008: 3284-3291

Tanasanee Phienthrakul, Boonserm Kijsirikul: Adaptive stabilized multi-RBF kernel for Support Vector Regression. IJCNN 2008: 3545-3550

Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul: On Kernelization of Supervised Mahalanobis Distance Learners. CoRR abs/0804.1441 (2008)

Jittat Fakcharoenphol, Boonserm Kijsirikul: Low congestion online routing and an improved mistake bound for online prediction of graph labeling. CoRR abs/0809.2075 (2008)

Tanasanee Phienthrakul, Boonserm Kijsirikul: GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines. IEEE Congress on Evolutionary Computation 2007: 2636-2643

Nuanwan Soonthornphisaj, Thanarat Rattana-ubon, Boonserm Kijsirikul: Chronic Fatigue Syndrome Diagnosis Using Feature-based Fuzzy Fusion. IMECS 2007: 702-706

Prasertsak Pungprasertying, Ratthachat Chatpatanasiri, Boonserm Kijsirikul: Migration Analysis: An Alternative Approach for Analyzing Learning Performance. ICPR (2) 2006: 837-840

Tanasanee Phienthrakul, Boonserm Kijsirikul: Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels. Intelligent Information Processing 2006: 269-278

Anantaporn Srisawat, Boonserm Kijsirikul: MRBF: A Method for Predicting HIV-1 Drug Resistance. Intelligent Information Processing 2006: 327-336

Anantaporn Srisawat, Tanasanee Phienthrakul, Boonserm Kijsirikul: SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor. PRICAI 2006: 975-979

Boonserm Kijsirikul, Thanupol Lerdlamnaochai: First-Order Logical Neural Networks. Int. J. Hybrid Intell. Syst. 2(4): 253-267 (2005)

Jittat Fakcharoenphol, Boonserm Kijsirikul: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. ALT 2005: 135-147

Tanasanee Phienthrakul, Boonserm Kijsirikul: Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. GECCO 2005: 905-911

Nuanwan Soonthornphisaj, Boonserm Kijsirikul: Iterative cross-training: An algorithm for learning from unlabeled Web pages. Int. J. Intell. Syst. 19(1-2): 131-147 (2004)

Thanupol Lerdlamnaochai, Boonserm Kijsirikul: First-Order Logical Neural Networks. HIS 2004: 192-197

Anantaporn Srisawat, Boonserm Kijsirikul: Using Associative Classification for Predicting HIV-1 Drug Resistance. HIS 2004: 280-284

Nuanwan Soonthornphisaj, Boonserm Kijsirikul: Combining ILP with Semi-supervised Learning for Web Page Categorization. International Conference on Computational Intelligence 2004: 322-325

Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, Boonserm Kijsirikul: Improving Multiclass ILP by Combining Partial Rules with Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules. JSAI Workshops 2004: 527-537

Boonserm Kijsirikul, Narong Boonsirisumpun, Yachai Limpiyakorn: Multiclass Support Vector Machines Using Balanced Dichotomization. PRICAI 2004: 973-974

Nuanwan Soonthornphisaj, Boonserm Kijsirikul: Iterative cross-training: An algorithm for web page categorization. Intell. Data Anal. 7(3): 233-253 (2003)

Thimaporn Phetkaew, Wanchai Rivepiboon, Boonserm Kijsirikul: Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines. JACIII 7(3): 315-321 (2003)

Ratthachat Chatpatanasiri, Boonserm Kijsirikul: Learning First-Order Bayesian Networks. Canadian Conference on AI 2003: 313-328

Sukree Sinthupinyo, Luepol Pipanmaekaporn, Boonserm Kijsirikul: Detection of connecting points in Thai printed characters by combining inductive logic programming with backpropagation neural network. ICIAP 2003: 196-200

Ratthachat Chatpatanasiri, Boonserm Kijsirikul: Upgrading ILP Rules to First-Order Bayesian Networks. PAKDD 2003: 595-601

Nuttakorn Thubthong, Boonserm Kijsirikul, Apirath Pusittrakul: A Method for Isolated Thai Tone Recognition Using a Combination of Neural Networks. Computational Intelligence 18(3): 313-335 (2002)

Jun Srisutapan, Boonserm Kijsirikul: Fuzzy Logic and Genetic Algorithm for Optimizing the Approximate Match of Rules based on Backpropagation Neural Networks. FSKD 2002: 212-216

Nuttakorn Thubthong, Boonserm Kijsirikul, Sudaporn Luksaneeyanawin: Tone recognition in Thai continuous speech based on coarticulaion, intonation and stress effects. INTERSPEECH 2002

Boonserm Kijsirikul, Nitiwut Ussivakul, Surapant Meknavin: Adaptive Directed Acyclic Graphs for Multiclass Classification. PRICAI 2002: 158-168

Nuttakorn Thubthong, Boonserm Kijsirikul: Support Vector Machines for Thai Phoneme Recognition. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(6): 803-813 (2001)

Nuttakorn Thubthong, Boonserm Kijsirikul: Tone Recognition of Continuous Thai Speech Under Tonal Assimilation and Declination Effects Using Half-Tone Model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(6): 815-825 (2001)

Boonserm Kijsirikul, Sukree Sinthupinyo, Kongsak Chongkasemwongse: Approximate Match of Rules Using Backpropagation Neural Networks. Machine Learning 44(3): 273-299 (2001)

Nuanwan Soonthornphisaj, Boonserm Kijsirikul: The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm. ICEIS (1) 2001: 404-410

Boonserm Kijsirikul, Puay Sasiphongpairoege, Nuanwan Soonthornphisaj, Surapant Meknavin: Supervised and Unsupervised Learning Algorithms for Thai Web Pages Identification. PRICAI 2000: 690-700

Boonserm Kijsirikul, Sukree Sinthupinyo: Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition. ILP 1999: 162-173

Surapant Meknavin, Boonserm Kijsirikul, Ananlada Chotimongkol, Cholwich Nattee: Combining Trigram and Winnow in Thai OCR Error Correction. COLING-ACL 1998: 836-842

Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura: Discrimination-Based Constructive Induction of Logic Programs. AAAI 1992: 44-49

Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura: Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals. ML 1991: 417-421