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ORCIDSomkid Amornsamankul
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2020 – today
- 2024
[c7]Sarawut Meesri, Somkid Amornsamankul, Pawalai Kraipeerapun:
Rice Classification Using Three-Step Neural Network Integration. ICSSE 2024: 1-5- 2021
- [c6]Pornrat Wattanakasiwich, Nuttee Suree, Suthida Chamrat, Washirasorn Saengsuwan, Wandee Suttharangsee, Tanate Panrat, Jareerat Ruamcharoen, Wannapon Trianpo, Somkid Amornsamankul, Wasakorn Laesanklang, Anders Berglund, Panuwan Chantawannakul:
Investigating Challenges of Student Centered Learning in Thai Higher Education during the COVID-19 Pandemic. FIE 2021: 1-7 - [c5]Chatree Nilnumpetch, Somkid Amornsamankul, Pawalai Kraipeerapun:
Cancer Prediction Using Cascade Generalization and Duo Output Neural Network. RICE 2021: 65?70
2010 – 2019
- 2017
- [c4]Pawalai Kraipeerapun, Somkid Amornsamankul:
Room Occupancy Detection using Modified Stacking. ICMLC 2017: 162-166 - 2015
- [c3]Pawalai Kraipeerapun, Somkid Amornsamankul:
Using stacked generalization and complementary neural networks to predict Parkinson's disease. ICNC 2015: 1290-1294 - 2010
- [j1]Pawalai Kraipeerapun, Sathit Nakkrasae, Chun Che Fung
, Somkid Amornsamankul:
Solving regression problem with complementary neural networks and an adjusted averaging technique. Memetic Comput. 2(4): 249-257 (2010) - [c2]Sathit Nakkrasae, Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung:
Bagging of Complementary Neural Networks with Double Dynamic Weight Averaging. SNPD 2010: 173-178
2000 – 2009
- 2009
- [c1]Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung, Sathit Nakkrasae:
Applying Duo Output Neural Networks to Solve Single Output Regression Problem. ICONIP (1) 2009: 554-561
Coauthor Index
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