Pawalai Kraipeerapun

According to our database, Pawalai Kraipeerapun authored at least 16 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rice Classification Using Three-Step Neural Network Integration.

Sarawut Meesri, Somkid Amornsamankul, Pawalai Kraipeerapun

Proceedings of the International Conference on System Science and Engineering, 2024

2021

Cancer Prediction Using Cascade Generalization and Duo Output Neural Network.

Chatree Nilnumpetch, Somkid Amornsamankul, Pawalai Kraipeerapun

Proceedings of the Sixth International Conference on Research in Intelligent and Computing, 2021

2020

Applying Stacked Generalization with the Difference of Truth and Falsity Data to Predict Student's Performance.

Atchara Mahaweerawa, Chatree Nilnumpetch, Pawalai Kraipeerapun

Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2017

Room Occupancy Detection using Modified Stacking.

Pawalai Kraipeerapun, Somkid Amornsamankul

Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2015

Using stacked generalization and complementary neural networks to predict Parkinson's disease.

Pawalai Kraipeerapun, Somkid Amornsamankul

Proceedings of the 11th International Conference on Natural Computation, 2015

2010

Solving regression problem with complementary neural networks and an adjusted averaging technique.

Pawalai Kraipeerapun, Sathit Nakkrasae, Chun Che Fung, Somkid Amornsamankul

Memetic Comput., 2010

Bagging of Complementary Neural Networks with Double Dynamic Weight Averaging.

Sathit Nakkrasae, Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung

Proceedings of the 11th ACIS International Conference on Software Engineering, 2010

2009

Binary classification using ensemble neural networks and interval neutrosophic sets.

Pawalai Kraipeerapun, Chun Che Fung

Neurocomputing, 2009

Porosity Prediction Using Bagging of Complementary Neural Networks.

Pawalai Kraipeerapun, Chun Che Fung, Sathit Nakkrasae

Proceedings of the Advances in Neural Networks, 2009

Applying Duo Output Neural Networks to Solve Single Output Regression Problem.

Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung, Sathit Nakkrasae

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2007

Ensemble Neural Networks Using Interval Neutrosophic Sets and Bagging.

Pawalai Kraipeerapun, Chun Che Fung, Kok Wai Wong

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Quantification of Uncertainty in Mineral Prospectivity Prediction Using Neural Network Ensembles and Interval Neutrosophic Sets.

Pawalai Kraipeerapun, Kok Wai Wong, Chun Che Fung, Warick Brown

Proceedings of the International Joint Conference on Neural Networks, 2006

Uncertainty in Mineral Prospectivity Prediction.

Pawalai Kraipeerapun, Chun Che Fung, Warick Brown, Kok Wai Wong, Tamás D. Gedeon

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Mineral Prospectivity Prediction using Interval Neutrosophic Sets.

Pawalai Kraipeerapun, Chun Che Fung, Warick Brown, Kok Wai Wong

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005

Assessment of Uncertainty in Mineral Prospectivity Prediction Using Interval Neutrosophic Set.

Pawalai Kraipeerapun, Chun Che Fung, Warick Brown

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

Storing and Handling Vague Spatial Objects.

Arta Dilo, Pawalai Kraipeerapun, Wim H. Bakker, Rolf A. de By

Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004