| Neighbourhood-based undersampling approach for handling imbalanced and overlapped data P Vuttipittayamongkol, E Elyan Information Sciences 509, 47-70, 2020 | 262 | 2020 |
| On the class overlap problem in imbalanced data classification P Vuttipittayamongkol, E Elyan, A Petrovski Knowledge-based systems 212, 106631, 2021 | 247 | 2021 |
| Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward E Elyan, P Vuttipittayamongkol, P Johnston, K Martin, K McPherson, ... Artificial Intelligence Surgery 2 (1), 24-45, 2022 | 128 | 2022 |
| Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and parkinson’s disease P Vuttipittayamongkol, E Elyan International journal of neural systems 30 (08), 2050043, 2020 | 74 | 2020 |
| Overlap-based undersampling for improving imbalanced data classification P Vuttipittayamongkol, E Elyan, A Petrovski, C Jayne Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 73 | 2018 |
| Overlap-based undersampling method for classification of imbalanced medical datasets P Vuttipittayamongkol, E Elyan Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 43 | 2020 |
| Label-free prehybridization DNA microarray imaging using photonic crystals for quantitative spot quality analysis S George, ID Block, SI Jones, PC Mathias, V Chaudhery, ... Analytical chemistry 82 (20), 8551-8557, 2010 | 38 | 2010 |
| Threshold voltage tuning and printed complementary transistors and inverters based on thin films of carbon nanotubes and indium zinc oxide P Vuttipittayamongkol, F Wu, H Chen, X Cao, B Liu, C Zhou Nano Research 8, 1159-1168, 2015 | 28 | 2015 |
| Antimicrobial resistance and machine learning: challenges and opportunities E Elyan, A Hussain, A Sheikh, AA Elmanama, P Vuttipittayamongkol, ... IEEE Access 10, 31561-31577, 2022 | 25 | 2022 |
| Predicting factors of academic performance P Vuttipittayamongkol 2016 Second asian conference on defence technology (ACDT), 161-166, 2016 | 19 | 2016 |
| A data-driven decision support tool for offshore oil and gas decommissioning P Vuttipittayamongkol, A Tung, E Elyan IEEE Access 9, 137063-137082, 2021 | 14 | 2021 |
| Data-driven industrial machine failure detection in imbalanced environments P Vuttipittayamongkol, T Arreeras 2022 IEEE International Conference on Industrial Engineering and Engineering …, 2022 | 9 | 2022 |
| Psychosocial Impact of 8 weeks COVID-19 quarantine on Italian parents and their children BJ Khoory, MW Keuning, AC Fledderus, R Cicchelli, V Fanos, J Khoory, ... Maternal and child health journal 26 (6), 1312-1321, 2022 | 8 | 2022 |
| Towards Machine Learning-Driven Practices for Oil and Gas Decommissioning–Introduction of a New Offshore Pipeline Dataset P Vuttipittayamongkol, A Tung, E Elyan Proceedings of the 9th International Conference on Computer and …, 2021 | 5 | 2021 |
| Exploration of Risky Riding Behavior on Last Mile Food Delivery using Motorcycle Rider Behavior Questionnaire: Evidence From Chiang Rai T Arreeras, K Sittivangkul, S Tiwong, P Vuttipittayamongkol 2022 IEEE International Conference on Industrial Engineering and Engineering …, 2022 | 4 | 2022 |
| A Machine Learning Approach for Depression Screening in College Students Based on Non-Clinical Information P Nison, P Vuttipittayamongkol, P Boonyapuk, K Kemavuthanon 2023 International Conference On Cyber Management And Engineering (CyMaEn …, 2023 | 3 | 2023 |
| Prepaid Electricity Meter A Chandak, YC Huang, P Vuttipittayamongkol Department of Electrical and Computer Engineering University of Illinois at …, 2011 | 3 | 2011 |
| Large-Scale Complementary Macroelectronics Using Hybrid Integration of Carbon Nanotubes and Oxide Thin-Film Transistors C Zhou, H Chen, Y Cao, J Zhang, P Vuttipittayamongkol, F Wu, X Cao US Patent App. 15/167,943, 2016 | 2 | 2016 |
| Critical Review of the Thai and Malaysian Decommissioning Landscapes A Tung, W Wanarunwong, P Vuttipittayamongkol Offshore Technology Conference, 2021 | 1 | 2021 |
| Learning from class-imbalanced data: overlap-driven resampling for imbalanced data classification. P Vuttipittayamongkol | 1 | 2020 |
Eyad ElyanEyad Elyan, Professor, School of Computing, Robert Gordon Universityبريد إلكتروني تم التحقق منه على rgu.ac.uk