| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Improving generalization capability of neural networks under conditions of sparse data: A new committee formation approach | Chetchotsak, D. | 2002 | ||||
| 2. | Committee Networks: Many Heny Heads Are Better Than One | Danaipong Chetchotsak | 2005 | ||||
| 3. | An artificial neural network for detection of simulated dental caries | Suwadee Kositbowornchai Sanphet Siriteptawee Supattra Plermkamon Sujin Bureerat Danaipong Chetchotsak |
2006 | ||||
| 4. | Combining neural networks for function approximation under conditions of sparse data: The biased regression approach | Danaipong Chetchotsak Janet M. Twomey |
2007 | ||||
| 5. | Yield Prediction using Artificial Neural Networks | Danaipong Chetchotsak Kritchana Kuntanoo |
2007 | ||||
| 6. | The classification model for hard disk drive functional tests under sparse data conditions | Pattanapairoj, S. Chetchotsak, D. |
2010 | ||||
| 7. | (Q,r) Based Inventory Model for Thailand’s HDD Industry: A Simulation Study | Pitchawee Meesukdilokpat Danaipong Chetchotsak 40002 Khon Kaen |
2011 | ||||
| 8. | Efficiency factors for reinforced concrete deep beams: Part 1- improved models | Chetchotisak, P. Teerawong, J. Chetchotsak, D. |
2014 | ||||
| 9. | Efficiency factors for reinforced concrete deep beams: Part 2-code calibration | Chetchotisak, P. Teerawong, J. Chetchotsak, D. |
2014 | ||||
| 10. | Hybrid balancing technique using GRSOM and bootstrap algorithms for classifiers with imbalanced data | Pattanapairoj, S. Chetchotsak, D. Arnonkijpanich, B. |
2014 | ||||
| 11. | Object's centroid correlation using MATLAB's neural network toolbox for visually-guided object manipulation | Wanchat, S. Plermkamon, S. Chetchotsak, D. |
2014 | ||||
| 12. | Object's centroid localization using Hu-Flusser's moments invariant | Wanchat, S. Plermkamon, S. Chetchotsak, D. |
2014 | ||||
| 13. | Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach | Sirorat Pattanapairoj Atit Silsirivanit Kanha Muisuk Wunchana Seubwai Ubon Cha'on Kulthida Vaeteewoottacharn Kanlayanee Sawanyawisuth Danaipong Chetchotsak Sopit Wongkham |
2015 | ||||
| 14. | Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach. | Chetchotsak, D. Pattanapairoj, S. Arnonkijpanich, B. |
2015 | ||||
| 15. | PERFORMANCE EVALUATION OF LARGE AND MEDIUM SCALE MANUFACTURING INDUSTRY CLUSTERS IN EAST JAVA PROVINCE, INDONESIA | Erni Puspanantasari Putri Danaipong Chetchotsak Panutporn Ruangchoenghum Muaffaq Achmad Jani Retno Hastijanti |
2016 | ||||
| 16. | Performance Evaluation Using PCA and DEA: a Case Study of the Micro and Small Manufacturing Industries in Indonesia | Erni Puspanantasari Putri Danaipong Chetchotsak Muaffaq Achmad Jani Retno Hastijanti |
2017 | ||||
| 17. | Group decision making for strategy prioritisation using hybrid aggregation: A case study of sugar industry in Thailand | Chetchotsak, D. | 2018 | ||||
| 18. | Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability | Chetchotisak, P. Chetchotsak, D. |
2018 | ||||
| 19. | Group decision technique for multiple criteria evaluation problems: The preferential difference and rank approach through data envelopment analysis | Chetchotsak, D. Ruangchoengchum, |
2019 | Count | 14 | 2 | 7 | 3 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | Improving generalization capability of neural networks under conditions of sparse data: A new committee formation approach | Chetchotsak, D. | 2002 |
Intelligent Engineering Systems Through Artificial Neural Networks (12), pp. 141-146 |
||||||||
| 2. | An artificial neural network for detection of simulated dental caries | Kositbowornchai, S. Siriteptawee, S. Plermkamon, S. Bureerat, S. Chetchotsak, D. |
2006 |
International Journal of Computer Assisted Radiology and Surgery 2 (1), pp. 91-96 |
||||||||
| 3. | Combining neural networks for function approximation under conditions of sparse data: The biased regression approach | Chetchotsak, D. | 2007 |
International Journal of General Systems 4 (36), pp. 479-499 |
||||||||
| 4. | The classification model for hard disk drive functional tests under sparse data conditions | Pattanapairoj, S. Chetchotsak, D. |
2010 |
World Academy of Science, Engineering and Technology (46), pp. 261-266 |
||||||||
| 5. | Efficiency factors for reinforced concrete deep beams: Part 1- improved models | Chetchotisak, P. Teerawong, J. Chetchotsak, D. |
2014 |
Advanced Materials Research (931-932), pp. 506-513 |
||||||||
| 6. | Efficiency factors for reinforced concrete deep beams: Part 2-code calibration | Chetchotisak, P. Teerawong, J. Chetchotsak, D. |
2014 |
Advanced Materials Research (931-932), pp. 514-519 |
||||||||
| 7. | Hybrid balancing technique using GRSOM and bootstrap algorithms for classifiers with imbalanced data | Pattanapairoj, S. Chetchotsak, D. Arnonkijpanich, B. |
2014 |
Advanced Materials Research (931-932), pp. 1375-1381 |
||||||||
| 8. | Object's centroid correlation using MATLAB's neural network toolbox for visually-guided object manipulation | Wanchat, S. Plermkamon, S. Chetchotsak, D. |
2014 |
Advanced Materials Research (931-932), pp. 1417-1421 |
||||||||
| 9. | Object's centroid localization using Hu-Flusser's moments invariant | Wanchat, S. Plermkamon, S. Chetchotsak, D. |
2014 |
Applied Mechanics and Materials (526), pp. 316-323 |
||||||||
| 10. | Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach | Pattanapairoj, S. Silsirivanit, A. Muisuk, K. Seubwai, W. Cha'on, U. Vaeteewoottacharn, K. Sawanyawisuth, K. Chetchotsak, D. Wongkham, S. |
2015 |
Clinical Biochemistry 10-11 (48), pp. 668-673 |
||||||||
| 11. | Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach | Chetchotsak, D. Pattanapairoj, S. Arnonkijpanich, B. |
2015 |
Cognitive Neurodynamics (), pp. |
||||||||
| 12. | Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach | Chetchotsak, D. Pattanapairoj, S. Arnonkijpanich, B. |
2015 |
Cognitive Neurodynamics 6 (9), pp. 627-638 |
||||||||
| 13. | Group decision making for strategy prioritisation using hybrid aggregation: A case study of sugar industry in Thailand | Chetchotsak, D. | 2018 |
International Journal of Applied Management Science 4 (10), pp. 338-361 |
||||||||
| 14. | Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability | Chetchotisak, P. Chetchotsak, D. |
2018 |
KSCE Journal of Civil Engineering 8 (22), pp. 3066-3076 |
||||||||
| 15. | Group decision technique for multiple criteria evaluation problems: The preferential difference and rank approach through data envelopment analysis | Chetchotsak, D. Ruangchoengchum, |
2019 |
International Journal of Business Innovation and Research 3 (18), pp. 410-427 |
||||||||
| Title | Authors | Year | Journal title | ||
|---|---|---|---|---|---|
| 1. | Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach. | Pattanapairoj, S Silsirivanit, A Muisuk, K Seubwai, W Cha'on, U Vaeteewoottacharn, K Sawanyawisuth, K Chetchotsak, D Wongkham, S |
2015 |
Clinical biochemistry 10 (48), pp. 668-73 |
|
| 2. | Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach. | Chetchotsak, D Pattanapairoj, S Arnonkijpanich, B |
2015 |
Cognitive neurodynamics 6 (9), pp. 627-38 |
| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | An artificial neural network for detection of simulated dental caries | Suwadee Kositbowornchai Sanphet Siriteptawee Supattra Plermkamon Sujin Bureerat Danaipong Chetchotsak |
2006 |
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2.0 (1.0), pp. 91.0-96.0 |
13 | 0 | 0 | 0 | 0 | 0 | 13 | |
| 2. | Combining neural networks for function approximation under conditions of sparse data: the biased regression approach | Danaipong Chetchotsak Janet M. Twomey |
2007 |
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS 4.0 (36.0), pp. 479.0-499.0 |
5 | 0 | 0 | 0 | 0 | 0 | 5 | |
| 3. | Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach | Sirorat Pattanapairoj Atit Silsirivanit Kanha Muisuk Wunchana Seubwai Ubon Cha'on Kulthida Vaeteewoottacharn Kanlayanee Sawanyawisuth Danaipong Chetchotsak Sopit Wongkham |
2015 |
CLINICAL BIOCHEMISTRY 10-11 (48.0), pp. 668.0-673.0 |
19 | 0 | 0 | 0 | 0 | 0 | 19 | |
| 4. | Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach | Danaipong Chetchotsak Sirorat Pattanapairoj Banchar Arnonkijpanich |
2015 |
COGNITIVE NEURODYNAMICS 6.0 (9.0), pp. 627.0-638.0 |
13 | 0 | 0 | 0 | 0 | 0 | 13 | |
| 5. | PERFORMANCE EVALUATION OF LARGE AND MEDIUM SCALE MANUFACTURING INDUSTRY CLUSTERS IN EAST JAVA PROVINCE, INDONESIA | Erni Puspanantasari Putri Danaipong Chetchotsak Panutporn Ruangchoenghum Muaffaq Achmad Jani Retno Hastijanti |
2016 |
INTERNATIONAL JOURNAL OF TECHNOLOGY 7.0 (7.0), pp. 1269.0-1279.0 |
13 | 0 | 0 | 0 | 0 | 0 | 13 | |
| 6. | Performance Evaluation Using PCA and DEA: a Case Study of the Micro and Small Manufacturing Industries in Indonesia | Erni Puspanantasari Putri Danaipong Chetchotsak Muaffaq Achmad Jani Retno Hastijanti |
2017 |
ASR CHIANG MAI UNIVERSITY JOURNAL OF SOCIAL SCIENCES AND HUMANITIES 1.0 (4.0), pp. 37.0-56.0 |
4 | 0 | 0 | 0 | 0 | 0 | 4 | |
| 7. | Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability | Panatchai Chetchotisak Pongpan Ruengpim Danaipong Chetchotsak Sukit Yindeesuk |
2018 |
KSCE JOURNAL OF CIVIL ENGINEERING 8.0 (22.0), pp. 3066.0-3076.0 |
11 | 0 | 0 | 0 | 0 | 0 | 11 | |
| Title | Authors | Year | Journal title | ||
|---|---|---|---|---|---|
| 1. | Committee Networks: Many Heny Heads Are Better Than One | Danaipong Chetchotsak | 2005 |
KKU ENGINEERING JOURNAL 4 (32), pp. 457-465 |
|
| 2. | Yield Prediction using Artificial Neural Networks | Danaipong Chetchotsak Kritchana Kuntanoo |
2007 |
KKU ENGINEERING JOURNAL 4 (34), pp. 465-475 |
|
| 3. | (Q,r) Based Inventory Model for Thailand’s HDD Industry: A Simulation Study | Pitchawee Meesukdilokpat Danaipong Chetchotsak 40002 Khon Kaen |
2011 |
KKU ENGINEERING JOURNAL 3 (38), pp. 243-254 |
| ชื่อโครงการ | Authors | ประเภทโครงการ | ปีงบประมาณ | ทุนวิจับ |
|---|