Boonserm Kijsirikul - Concepedia

Author

Boonserm Kijsirikul

Chulalongkorn University ORCID

Also Known As

B. Kijsirikul, BOONSERM KIJSIRIKUL, Boonserm Kijsirikul, Kijsirikul, Boonserm, Vardi, Moshe Y

156

Publications

1.3K

Citations

H-Index

127

Concepts

All Affiliations

Chulalongkorn University Chubu University Indian Institute of Technology Guwahati The University of Osaka Aichi University of Education

About

Boonserm Kijsirikul is an author at Chulalongkorn University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	30	735
2	Language Studies	6	6	115
3	Business	2	2	34
4	Arts	1	1	13
5	Education	1	1	17

Boonserm Kijsirikul

Publications

891

Citations

H-Index

Page 1

	Year	Citations
Multiclass support vector machines using adaptive directed acyclic graph Boonserm Kijsirikul, Nitiwut Ussivakul Artificial IntelligenceSupport Vector MachineClassification MethodEngineeringMachine Learning	2003	107
A new kernelization framework for Mahalanobis distance learning algorithms Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Neurocomputing Support Vector MachineImage AnalysisMachine LearningData ScienceData Mining	2010	74
A unified semi-supervised dimensionality reduction framework for manifold learning Ratthachat Chatpatanasiri, Boonserm Kijsirikul Neurocomputing EngineeringMachine LearningData ScienceData MiningPattern Recognition	2010	44
A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN Panayu Keelawat, Nattapong Thammasan, Masayuki Numao, Sensors Convolutional Neural NetworkAffective NeuroscienceMultimodal Sentiment AnalysisAttentionPsychology	2021	44
Discrimination-based constructive induction of logic programs Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura National Conference on Artificial Intelligence Artificial IntelligenceDiscrimination-based Constructive InductionEngineeringSemanticsInductive Inference	1992	41
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines Tanasanee Phienthrakul, Boonserm Kijsirikul EngineeringMachine LearningBiometricsKernel FunctionSupport Vector Machine	2005	40
The Application of Artificial Neural Networks for Phenotypic Drug Resistance Prediction: Evaluation and Comparison with Other Interpretation Systems Ekawat Pasomsub, Chonlaphat Sukasem, Somnuek Sungkanuparph, Japanese Journal of Infectious Diseases EngineeringDrug ResistanceSystems PharmacologyHiv-1 Resistance PhenotypeTranslational Medicine	2010	33
A Method of Data Augmentation for Classifying Road Damage Considering Influence on Classification Accuracy Haruki Tsuchiya, Shinji Fukui, Yuji Iwahori, Procedia Computer Science EngineeringMachine LearningSafety ScienceInjury PreventionData Augmentation Methods	2019	31
Improved image classification explainability with high-accuracy heatmaps Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, iScience	2022	28
Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks Panayu Keelawat, Nattapong Thammasan, Boonserm Kijsirikul, MusicEngineeringMachine LearningAffective NeuroscienceFeature Extraction	2019	25

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