An analysis of the regularization between L2 and dropout in single hidden layer neural network E Phaisangittisagul 2016 7th International Conference on Intelligent Systems, Modelling and …, 2016 | 158 | 2016 |
Sensor selection for machine olfaction based on transient feature extraction E Phaisangittisagul, HT Nagle IEEE Transactions on Instrumentation and Measurement 57 (2), 369-378, 2008 | 47 | 2008 |
Intelligent method for sensor subset selection for machine olfaction E Phaisangittisagul, HT Nagle, V Areekul Sensors and Actuators B: Chemical 145 (1), 507-515, 2010 | 42 | 2010 |
A light-weight artificial neural network for speech emotion recognition using average values of MFCCs and their derivatives P Nantasri, E Phaisangittisagul, J Karnjana, S Boonkla, ... 2020 17th International conference on electrical engineering/electronics …, 2020 | 29 | 2020 |
Predicting odor mixture's responses on machine olfaction sensors E Phaisangittisagul, HT Nagle Sensors and Actuators B: Chemical 155 (2), 473-482, 2011 | 29 | 2011 |
Collaborative Defense-GAN for protecting adversarial attacks on classification system P Laykaviriyakul, E Phaisangittisagul Expert Systems with Applications 214, 118957, 2023 | 19 | 2023 |
Enhancing multiple classifier system performance for machine olfaction using odor-type signatures E Phaisangittisagul, HT Nagle Sensors and Actuators B: Chemical 125 (1), 246-253, 2007 | 15 | 2007 |
Combining features for RGB-D object recognition W Khan, E Phaisangittisagul, L Ali, D Gansawat, I Kumazawa 2017 International Electrical Engineering Congress (iEECON), 1-5, 2017 | 13 | 2017 |
Signal processing using wavelets for enhancing electronic nose performance E Phaisangittisagul | 13 | 2007 |
Predictive high-level feature representation based on dictionary learning E Phaisangittisagul, S Thainimit, WK Chen Expert Systems with Applications 69, 101-109, 2017 | 9 | 2017 |
Target advertising classification using combination of deep learning and text model E Phaisangittisagul, Y Koobkrabee, K Wirojborisuth, T Ratanasrimetha, ... 2019 10th International Conference of Information and Communication …, 2019 | 6 | 2019 |
Receptive field resolution analysis in convolutional feature extraction E Phaisangittisagul, R Chongprachawat 2013 13th International symposium on communications and information …, 2013 | 5 | 2013 |
Improving sensor subset selection of machine olfaction using multi-class SVM E Phaisangittisagul 2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010 | 5 | 2010 |
Approximating sensors' responses of odor mixture on machine olfaction E Phaisangittisagul 2009 International Conference on Artificial Intelligence and Computational …, 2009 | 4 | 2009 |
Outlier detection for machine olfaction based on odor-type signatures E Phaisangittisagul 2009 6th International Conference on Electrical Engineering/Electronics …, 2009 | 4 | 2009 |
Transient feature extraction for machine olfaction based on Wavelet decomposition E Phaisangittisagul 2008 5th International Conference on Electrical Engineering/Electronics …, 2008 | 4 | 2008 |
Initialization of random vectors to enhance defense-GAN for image classification P Laykaviriyakul, E Phaisangittisagul 2022 International Electrical Engineering Congress (iEECON), 1-4, 2022 | 3 | 2022 |
A Quantitative Estimation of Power Quality Health Index for Power Substation T Buranarattanavijit, E Phaisangittisagul 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1-5, 2019 | 3 | 2019 |
Post-processing of unsupervised dictionary learning in handwritten digit recognition E Phaisangittisagul, R Chongprachawat 2014 14th International Symposium on Communications and Information …, 2014 | 2 | 2014 |
Efficient Passenger Counting in Public Transport Based on Machine Learning C Wiboonsiriruk, E Phaisangittisagul, C Srisurangkul, I Kumazawa TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 214-219, 2023 | 1 | 2023 |