W. Art Chaovalitwongse

According to our database1, W. Art Chaovalitwongse authored at least 96 papers between 2003 and 2020.

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PhD thesis 


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On csauthors.net:


Data anonymization: a novel optimal k-anonymity algorithm for identical generalization hierarchy data in IoT.
Serv. Oriented Comput. Appl., 2020

Impact of minimum-cut density-balanced partitioning solutions in distributed webpage ranking.
Optim. Lett., 2020

Convex Optimization for Group Feature Selection in Networked Data.
INFORMS J. Comput., 2020

Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions.
IEEE Trans. Evol. Comput., 2019

Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification.
CoRR, 2019

Optimization of ambient intelligence systems.
Oper. Res., 2018

Information-theoretic feature selection with discrete k-median clustering.
Ann. Oper. Res., 2018

Characterizations of Local Recoding Method on <i>k</i>-Anonymity.
Proceedings of the Advances in Network-Based Information Systems, 2018

Deep-learning derived features for lung nodule classification with limited datasets.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso.
Proceedings of the Brain Informatics - International Conference, 2018

Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing.
Optim. Methods Softw., 2017

Manufacturing Resource Modeling for Cloud Manufacturing.
Int. J. Intell. Syst., 2017

Multi-pattern generation framework for logical analysis of data.
Ann. Oper. Res., 2017

A decision support model for staff allocation of mobile medical service.
Ann. Oper. Res., 2017

Applied optimization and data mining.
Ann. Oper. Res., 2017

Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Optimization Models for Feature Selection of Decomposed Nearest Neighbor.
IEEE Trans. Syst. Man Cybern. Syst., 2016

A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework.
IEEE Trans. Hum. Mach. Syst., 2016

Using Wireless EEG Signals to Assess Memory Workload in the n-Back Task.
IEEE Trans. Hum. Mach. Syst., 2016

An integrated feature ranking and selection framework for ADHD characterization.
Brain Informatics, 2016

Brain response pattern identification of fMRI data using a particle swarm optimization-based approach.
Brain Informatics, 2016

A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals.
Proceedings of the Brain Informatics and Health - International Conference, 2016

An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Online Prediction of Driver Distraction Based on Brain Activity Patterns.
IEEE Trans. Intell. Transp. Syst., 2015

Integrating Human Behavior Modeling and Data Mining Techniques to Predict Human Errors in Numerical Typing.
IEEE Trans. Hum. Mach. Syst., 2015

A Network Structural Approach to the Link Prediction Problem.
INFORMS J. Comput., 2015

Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups.
INFORMS J. Comput., 2015

Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Sequence Assignment Model for the Flight Conflict Resolution Problem.
Transp. Sci., 2014

Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Data for Prediction of Neural Response to Visual Stimuli.
IEEE Trans. Medical Imaging, 2014

Sparse optimization in feature selection: application in neuroimaging.
J. Glob. Optim., 2014

Integrated Ant Colony and Tabu Search approach for time dependent vehicle routing problems with simultaneous pickup and delivery.
J. Comb. Optim., 2014

Mathematical Programming Formulations and Algorithms for Discrete k-Median Clustering of Time-Series Data.
INFORMS J. Comput., 2014

A gradient-based adaptive learning framework for online seizure prediction.
Int. J. Data Min. Bioinform., 2014

Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst., 2014

Relaxing support vectors for classification.
Ann. Oper. Res., 2014

A novel link prediction approach for scale-free networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

A Vessel Scheduling Problem with Special Cases.
Proceedings of the Operations Research and Enterprise Systems, 2014

A Case of the Container-Vessel Scheduling Problem.
Proceedings of the ICORES 2014, 2014

A Network-Based Model for the Integrated Weekly Aircraft Maintenance Routing and Fleet Assignment Problem.
Transp. Sci., 2013

Online Seizure Prediction Using an Adaptive Learning Approach.
IEEE Trans. Knowl. Data Eng., 2013

Mathematical programming approaches for dual multicast routing problem with multilayer risk cost.
Ann. Oper. Res., 2013

Editorial: Computational optimization and logistics challenges in industrial applications.
Ann. Oper. Res., 2013

Collaborative material and production tracking in toy manufacturing.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013

Machine Learning Algorithms in Bipedal Robot Control.
IEEE Trans. Syst. Man Cybern. Part C, 2012

A multicast problem with shared risk cost.
Optim. Lett., 2012

An improved linearization technique for a class of quadratic 0-1 programming problems.
Optim. Lett., 2012

Multicriteria variable selection for classification of production batches.
Eur. J. Oper. Res., 2012

Scatter search for the stochastic travel-time vehicle routing problem with simultaneous pick-ups and deliveries.
Comput. Oper. Res., 2012

Capacitated clustering problem in computational biology: Combinatorial and statistical approach for sibling reconstruction.
Comput. Oper. Res., 2012

Information-Theoretic Based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data.
Proceedings of the Brain Informatics - International Conference, 2012

An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Early Detection of Numerical Typing Errors Using Data Mining Techniques.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Pattern- and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis.
IEEE Trans. Syst. Man Cybern. Part A, 2011

On a New Rotation Tour Network Model for Aircraft Maintenance Routing Problem.
Transp. Sci., 2011

Revised GRASP with path-relinking for the linear ordering problem.
J. Comb. Optim., 2011

Pattern Recognition Approaches for Identifying Subcortical Targets during Deep Brain Stimulation Surgery.
IEEE Intell. Syst., 2011

Master Defect Record Retrieval Using Network-Based Feature Association.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Optimization of Spatiotemporal Clustering for Target Tracking From Multisensor Data.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Bounds of redundant multicast routing problem with SRLG-diverse constraints: edge, path and tree models.
J. Glob. Optim., 2010

Combinatorial Reconstruction of Half-Sibling Groups from Microsatellite Data.
J. Bioinform. Comput. Biol., 2010

New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers.
INFORMS J. Comput., 2010

An Implicit Cover Problem in wild Population Study.
Discret. Math. Algorithms Appl., 2010

Redundant multicast routing in multilayer networks with shared risk resource groups: Complexity, models and algorithms.
Comput. Oper. Res., 2010

Optimizing feature selection to improve medical diagnosis.
Ann. Oper. Res., 2010

A novel reinforcement learning framework for online adaptive seizure prediction.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Deterministic and Probabilistic Optimization Models for Data Classification.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Multi-Quadratic Integer Programming: Models and Applications.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Quadratic Integer Programming: Complexity and Equivalent Forms.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Integer Linear Programs for Routing and Protection Problems in Optical Networks.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Mathematical Programming for Data Mining.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Dynamical Feature Extraction from Brain Activity Time Series.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

On approximating four covering and packing problems.
J. Comput. Syst. Sci., 2009

On the Integrated Production and Distribution Problem with Bidirectional Flows.
INFORMS J. Comput., 2009

Optimisation and data mining techniques for the screening of epileptic patients.
Int. J. Bioinform. Res. Appl., 2009

Efficient and scalable provisioning of always-on multicast streaming services.
Comput. Networks, 2009

On Approximating an Implicit Cover Problem in Biology.
Proceedings of the Algorithmic Aspects in Information and Management, 2009

Quantitative complexity analysis in multi-channel intracranial EEG recordings form epilepsy brains.
J. Comb. Optim., 2008

Special Issue on Combinatorial Optimization in Data Mining.
J. Comb. Optim., 2008

Novel quadratic programming approach for time series clustering with biomedical application.
J. Comb. Optim., 2008

Novel Optimization Models for Abnormal Brain Activity Classification.
Oper. Res., 2008

On the Time Series K-Nearest Neighbor Classification of Abnormal Brain Activity.
IEEE Trans. Syst. Man Cybern. Part A, 2007

Set covering approach for reconstruction of sibling relationships.
Optim. Methods Softw., 2007

Support feature machine for classification of abnormal brain activity.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Reconstructing sibling relationships in wild populations.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Electroencephalogram (EEG) time series classification: Applications in epilepsy.
Ann. Oper. Res., 2006

Path Protection Routing with SRLG Constraints to Support IPTV in WDM Mesh Networks.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Dynamical approaches and multi-quadratic integer programming for seizure prediction.
Optim. Methods Softw., 2005

A new linearization technique for multi-quadratic 0-1 programming problems.
Oper. Res. Lett., 2004

Seizure warning algorithm based on optimization and nonlinear dynamics.
Math. Program., 2004

Adaptive epileptic seizure prediction system.
IEEE Trans. Biomed. Eng., 2003

Prediction of Human Epileptic Seizures based on Optimization and Phase Changes of Brain Electrical Activity.
Optim. Methods Softw., 2003

GRASP with a New Local Search Scheme for Vehicle Routing Problems with Time Windows.
J. Comb. Optim., 2003

Analysis of EEG data using optimization, statistics, and dynamical system techniques.
Comput. Stat. Data Anal., 2003

Statistical information approaches for the modelling of the epileptic brain.
Comput. Stat. Data Anal., 2003