C. Lursinsap

发表

Adaptive Self-Organizing Map Clustering for Software Fault Prediction

Atchara Mahaweerawat, Peraphon Sophatsathit, C. Lursinsap, 2007 .

Identifying essential segments and points in 2D image for extracting a realizable 3D shape using rule-based approach

N. Cooharojananone, C. Lursinsap, S. Bunrit, 2005, IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..

Univariate Filter Technique for Unsupervised Feature Selection Using a New Laplacian Score Based Local Nearest Neighbors

C. Lursinsap, P. Padungweang, K. Sunat, 2009, 2009 Asia-Pacific Conference on Information Processing.

Critical support vector machine without kernel function

C. Lursinsap, Thanapant Raicharoen, T. Raicharoen, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Penaeus monodon gene discovery project: the generation of an EST collection and establishment of a database.

C. Lursinsap, A. Phongdara, S. Klinbunga, 2006, Gene.

Modeling plant leaves in marble-patterned colours with particle transportation system

P. Chongstitvatana, C. Lursinsap, Yodthong Rodkaew, 2004 .

Animating plant growth in L-system by parametric functional symbols

P. Chongstitvatana, C. Lursinsap, Yodthong Rodkaew, 2004 .

Changes in heart rate variability during concentration meditation.

C. Lursinsap, S. Phongsuphap, Y. Pongsupap, 2008, International journal of cardiology.

HIGH ACCURACY EEG BIOMETRICS IDENTIFICATION USING ICA AND AR MODEL

Chidchanok Lursinsap, Peraphon Sophatsathit, Chesada Kaewwit, 2017 .

Prediction of coliforms and Escherichia coli on tomato fruits and lettuce leaves after sanitizing by using Artificial Neural Networks.

Chidchanok Lursinsap, Suwimon Keeratipibul, C. Lursinsap, 2011 .

Boundary expansion algorithm of a decision tree induction for an imbalanced dataset

C. Lursinsap, K. Sinapiromsaran, Kesinee Boonchuay, 2016 .

Sustaining Innovation in Information Technology Entrepreneurship with a Sufficiency Economy Philosophy

C. Lursinsap, U. Tanlamai, P. Savetpanuvong, 2011 .

Searching Single Nucleotide Polymorphism Markers to Complex Diseases Using Genetic Algorithm Framework and a BoostMode Support Vector Machine

S. Tongsima, C. Lursinsap, S. Fucharoen, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

In silico multiple-targets identification for heme detoxification in the human malaria parasite Plasmodium falciparum.

K. Plaimas, C. Lursinsap, Sittiporn Pattaradilokrat, 2016, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Application of hierarchical self-organizing mapping to invariant recognition of color-texture images

Kok Wai Wong, C. Lursinsap, K. Sookhanaphibar, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

A Generic Form of Evolutionary Algorithms and Manifold Drift Concept

C. Lursinsap, 2018 .

Sequence Matching Based Automatic Retake Detection Framework for Rushes Video

S. Satoh, N. Cooharojananone, C. Lursinsap, 2015 .

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

C. Lursinsap, C. Bunkhumpornpat, K. Sinapiromsaran, 2012, Applied Intelligence.

Pedestrian Detection by Using Weighted Channel Features with Hierarchical Region Reduction

Peraphon Sophatsathit, C. Lursinsap, Wittawin Susutti, 2018, Journal of Signal Processing Systems.

Estimating Columns of Under-determined Mixing Matrix by Information Index Removal and Perturbed Mean Shift Algorithm

Chidchanok Lursinsap, Krisana Chinnasarn, B. Panyangam, 2007, Third International Conference on Natural Computation (ICNC 2007).

A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm

Chidchanok Lursinsap, Thanapant Raicharoen, C. Lursinsap, 2005, Pattern Recognit. Lett..

Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling

Chidchanok Lursinsap, Kitiporn Plaimas, Sasiporn Tongman, 2017, Expert Syst. Appl..

A Reconstructed Missing Data-Finite Impulse Response Selective Ensemble (RMD-FSE) Network

Chidchanok Lursinsap, Sirapat Chiewchanwattana, Chee-Hung Henry Chu, 2004 .

Fuzzy C-Mean: A Statistical Feature Classification of Text and Image Segmentation Method

Chidchanok Lursinsap, Peraphon Sophatsathit, Somporn Chuai-Aree, 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Blind Separation Of Mixed Kurtosis Signed Signals Using Partial Observations And Low Complexity Activation Functions

Chidchanok Lursinsap, Vasile Palade, Krisana Chinnasarn, 2004, Int. J. Comput. Intell. Appl..

E ects of Learning Parameters on Independent Component Analysis Learning Procedure

C. Lursinsap, K. Chinnasarn, C. Lursinsap, 2022 .

Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem

Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap, 2009, PAKDD.

Matrix Learning for Topographic Neural Maps

Barbara Hammer, Alexander Hasenfuss, Banchar Arnonkijpanich, 2008, ICANN.

Face recognition by feature orientation and feature geometry matching

Ching-Liang Su, Chidchanok Lursinsap, C. Lursinsap, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A Novel Retake Detection Using LCS and SIFT Algorithm

Shin'ichi Satoh, Nagul Cooharojananone, Chidchanok Lursinsap, 2009, PCM.

Simulated light sensitive model for handwritten digit recognition

C. Lursinsap, C. Khunasaraphan, C. Lursinsap, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Weight shifting techniques for self-recovery neural networks

Chidchanok Lursinsap, Kanonkluk Vanapipat, Chularat Khunasaraphan, 1994, IEEE Trans. Neural Networks.

Optimizing the modified fuzzy ant-miner for efficient medical diagnosis

C. Lursinsap, Thannob Aribarg, S. Supratid, 2012, Applied Intelligence.

Effective solution for a medical tourism aggregative system using the data mining approach

Chidchanok Lursinsap, Elaine Vedrasco, C. Lursinsap, 2016, ICCIP.

Automated micro-roll-back self-recovery synthesis

Chidchanok Lursinsap, Vijay Raghavendra, C. Lursinsap, 1991, 28th ACM/IEEE Design Automation Conference.

An Efficient Prediction of HPV Genotypes from Partial Coding Sequences by Chaos Game Representation and Fuzzy k-Nearest Neighbor Technique

Chidchanok Lursinsap, Yong Poovorawan, Watcharaporn Tanchotsrinon, 2017 .

Mixed Integer Linear Programming Model for Workload Leveling on Offshore Platform of Petroleum Company

Krung Sinapiromsaran, Chidchanok Lursinsap, Siripun Sanguansintukul, 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

Clinical prediction based on HPV DNA testing by hybrid capture 2 (HC2) in combination with liquid-based cytology (LBC).

C. Lursinsap, Y. Poovorawan, J. Chansaenroj, 2013, Asian Pacific journal of cancer prevention : APJCP.

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap, 2011, Applied Intelligence.

Tennis Winner Prediction based on Time-Series History with Neural Modeling

Suphakant Phimoltares, Chidchanok Lursinsap, Amornchai Somboonphokkaphan, 2009 .

Integration of unsupervised and supervised neural networks to predict dissolved oxygen concentration in canals

Chidchanok Lursinsap, Peraphon Sophatsathit, Sirilak Areerachakul, 2013 .

Theoretical and heuristic aspects of heterogeneous system scheduling with constraints on client's multiple I/O ports

Chidchanok Lursinsap, Peraphon Sophatsathit, Waralak Chongdarakul, 2018, Future Gener. Comput. Syst..

Scalable Hyper-Ellipsoidal Function With Projection Ratio for Local Distributed Streaming Data Classification

Chidchanok Lursinsap, Perasut Rungcharassang, C. Lursinsap, 2020, IEEE Access.

Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity

Suphakant Phimoltares, Chidchanok Lursinsap, Prem Junsawang, 2019, PloS one.

Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms

Chidchanok Lursinsap, Suwanna Rasmequan, Krisana Chinnasarn, 2015, Neurocomputing.

A modified error function for imbalanced dataset classification problem

Chidchanok Lursinsap, Krisana Chinnasarn, P. Vorraboot, 2012, 2012 7th International Conference on Computing and Convergence Technology (ICCCT).

MUTE: Majority under-sampling technique

Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap, 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

Handling imbalanced data sets with synthetic boundary data generation using bootstrap re-sampling and AdaBoost techniques

Chidchanok Lursinsap, Putthiporn Thanathamathee, C. Lursinsap, 2013, Pattern Recognit. Lett..

Decision tree induction based on minority entropy for the class imbalance problem

Krung Sinapiromsaran, Chidchanok Lursinsap, Kesinee Boonchuay, 2017, Pattern Analysis and Applications.

MS/sup 3/ : Micro-rollback and Self-recovery System Synthesis

Chidchanok Lursinsap, Byung Wook Jeon, C. Lursinsap, 1993, The Sixth International Conference on VLSI Design.

Fast Learning and Testing for Imbalanced Multi-Class Changes in Streaming Data by Dynamic Multi-Stratum Network

Suphakant Phimoltares, Chidchanok Lursinsap, Saichon Jaiyen, 2017, IEEE Access.

The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons

Chidchanok Lursinsap, Khamron Sunat, Chee-Hung Henry Chu, 2006, Neural Computing and Applications.

The customer lifetime value prediction in mobile telecommunications

Yi Wang, S. Sanguansintukul, C. Lursinsap, 2008, 2008 4th IEEE International Conference on Management of Innovation and Technology.

Very short time environmental sound classification based on spectrogram pattern matching

Chidchanok Lursinsap, Peerapol Khunarsal, Thanapant Raicharoen, 2013, Inf. Sci..

A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle

Chidchanok Lursinsap, Khamron Sunat, Praisan Padungweang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

One-pass-throw-away learning for cybersecurity in streaming non-stationary environments by dynamic stratum network

Suphakant Phimoltares, Chidchanok Lursinsap, Saichon Jaiyen, 2018, PloS one.

Enhancing Mean-Variance Mapping Optimization Using Opposite Gradient Method and Interior Point Method for Real Parameter Optimization Problems

C. Lursinsap, Suphakant Phimoltares, Thirachit Saenphon, 2023, Processes.

Pedestrian Detection by Using Weighted Channel Features with Hierarchical Region Reduction

Chidchanok Lursinsap, Peraphon Sophatsathit, Wittawin Susutti, 2018, Journal of Signal Processing Systems.

Duplicated Genes Reversal Distance under Gene Deletion Constraint by Integer Programming

C. Lursinsap, C. Lursinsap, J. Suksawatchon, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

Computing the Reversal Distance between genomes in the Presence of Multi-gene Families via Binary Integer Programming

Mikael Bodén, Chidchanok Lursinsap, Jakkarin Suksawatchon, 2007, J. Bioinform. Comput. Biol..

New feature selection for gene expression classification based on degree of class overlap in principal dimensions

Chidchanok Lursinsap, Chatchawit Aporntewan, Somsak Rakkeitwinai, 2015, Comput. Biol. Medicine.

Extracting predictive SNPs in Crohn's disease using a vacillating genetic algorithm and a neural classifier in case-control association studies

Suphakant Phimoltares, Chidchanok Lursinsap, Sissades Tongsima, 2014, Comput. Biol. Medicine.

Collaborator recommendation in interdisciplinary computer science using degrees of collaborative forces, temporal evolution of research interest, and comparative seniority status

Chidchanok Lursinsap, Paweena Chaiwanarom, C. Lursinsap, 2015, Knowl. Based Syst..

Ensemble effort estimation using selection and genetic algorithms

Chidchanok Lursinsap, Peraphon Sophatsathit, Pichai Jodpimai, 2018, Int. J. Comput. Appl. Technol..

Re-estimating software effort using prior phase efforts and data mining techniques

Peraphon Sophatsathit, C. Lursinsap, Pichai Jodpimai, 2018, Innovations in Systems and Software Engineering.

A clustering algorithm for stream data with LDA-based unsupervised localized dimension reduction

Suphakant Phimoltares, Chidchanok Lursinsap, Sirisup Laohakiat, 2017, Inf. Sci..

Hyper-cylindrical micro-clustering for streaming data with unscheduled data removals

Suphakant Phimoltares, Chidchanok Lursinsap, Sirisup Laohakiat, 2016, Knowl. Based Syst..

Personal Identification by EEG Using ICA and Neural Network

Chidchanok Lursinsap, Preecha Tangkraingkij, Siripun Sanguansintukul, 2010, ICCSA.

Contemporary Classification on Medical Data based on Non-Linear Feature Extraction

Chidchanok Lursinsap, Siriporn Supratid, Thannob Aribarg, 2009, 2009 International Conference on Computational Science and Its Applications.

Efficient task scheduling based on theoretical scheduling pattern constrained on single I/O port collision avoidance

Chidchanok Lursinsap, Waralak Chongdarakul, Peraphon Sophatsathit, 2016, Simul. Model. Pract. Theory.

Estimating Software Effort with Minimum Features Using Neural Functional Approximation

Chidchanok Lursinsap, Peraphon Sophatsathit, Pichai Jodpimai, 2010, 2010 International Conference on Computational Science and Its Applications.

Versatile Hyper-Elliptic Clustering Approach for Streaming Data Based on One-Pass-Thrown-Away Learning

Chidchanok Lursinsap, Saranya Maneeroj, Niwan Wattanakitrungroj, 2017, Journal of Classification.

Prototyping by use of object-oriented database within the PRISM environment

C. Lursinsap, S. Flint, S. Flint, 1992, Proceedings of the Second International Conference on Systems Integration.

DTR: A Defect-Tolerant Routing Algorithm

Suchai Thanawastien, Chidchanok Lursinsap, Anucha Pitaksanonkul, 1989, 26th ACM/IEEE Design Automation Conference.

MASP - An Enhanced Model of Fault Type Identification in Object-Oriented Software Engineering

Petr Musílek, Chidchanok Lursinsap, Peraphon Sophatsathit, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Predicting Protein-Protein Interactions Using Correlation Coefficient and Principle Component Analysis

C. Lursinsap, Putthiporn Thanathamathee, 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

Wavelet-transform based artificial neural network for daily rainfall prediction in southern Thailand

Chidchanok Lursinsap, Jack Asavanant, Wassamon Phusakulkajorn, 2009, 2009 9th International Symposium on Communications and Information Technology.

Predicting Number of Unsupervised Clusters by Supervised Function

Chidchanok Lursinsap, Chouvanee Srivisal, C. Lursinsap, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

Imputing incomplete time-series data based on varied-window similarity measure of data sequences

Chidchanok Lursinsap, Sirapat Chiewchanwattana, Chee-Hung Henry Chu, 2007, Pattern Recognit. Lett..

Modeling Leaf Shapes Using L-systems and Genetic Algorithms

Norishige Chiba, Prabhas Chongstitvatana, Chidchanok Lursinsap, 2002 .