| SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems T Krityakierne, T Akhtar, CA Shoemaker Journal of Global Optimization 66, 417-437, 2016 | 41 | 2016 |
| Contaminant source localization via Bayesian global optimization G Pirot, T Krityakierne, D Ginsbourger, P Renard Hydrology and Earth System Sciences 23 (1), 351-369, 2019 | 25 | 2019 |
| Kernels over sets of finite sets using rkhs embeddings, with application to bayesian (combinatorial) optimization P Buathong, D Ginsbourger, T Krityakierne International Conference on Artificial Intelligence and Statistics, 2731-2741, 2020 | 21 | 2020 |
| The card guessing game: A generating function approach T Krityakierne, TA Thanatipanonda Journal of Symbolic Computation 115, 1-17, 2023 | 10 | 2023 |
| Global optimization with sparse and local Gaussian process models T Krityakierne, D Ginsbourger International Workshop on Machine Learning, Optimization and Big Data, 185-196, 2015 | 10 | 2015 |
| SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search J Müller, T Krityakierne, CA Shoemaker 2014 IEEE Congress on Evolutionary Computation (CEC), 1092-1099, 2014 | 10 | 2014 |
| A comparative study of infill sampling criteria for computationally expensive constrained optimization problems K Chaiyotha, T Krityakierne Symmetry 12 (10), 1631, 2020 | 9 | 2020 |
| Analysis of international visitor arrivals in Bali: Modeling and forecasting with seasonality and intervention JMP Mangindaan, T Krityakierne Journal of Physics: Conference Series 1132 (1), 012069, 2018 | 9 | 2018 |
| SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization T Krityakierne, CA Shoemaker International Transactions in Operational Research 24 (5), 1139-1172, 2017 | 9 | 2017 |
| Market Analysis with Business Intelligence System for Marketing Planning T Kongthanasuwan, N Sriwiboon, B Horbanluekit, W Laesanklang, ... Information 14 (2), 116, 2023 | 7 | 2023 |
| Nurse-patient relationship for multi-period home health care routing and scheduling problem T Krityakierne, O Limphattharachai, W Laesanklang Plos one 17 (5), e0268517, 2022 | 7 | 2022 |
| No Feedback? No Worries! The art of guessing the right card T Krityakierne, TA Thanatipanonda arXiv preprint arXiv:2205.08793, 2022 | 4 | 2022 |
| Aggregated GP-based optimization for contaminant source localization T Krityakierne, D Baowan Operations Research Perspectives 7, 100151, 2020 | 4 | 2020 |
| Comment: Some enhancements over the augmented lagrangian approach V Picheny, D Ginsbourger, T Krityakierne Technometrics 58 (1), 17-21, 2016 | 4 | 2016 |
| Ansatz in a Nutshell: A comprehensive step-by-step guide to polynomial, -finite, holonomic, and -finite sequences T Krityakierne, TA Thanatipanonda arXiv preprint arXiv:2201.08035, 2022 | 2 | 2022 |
| Heuristic route adjustment for balanced working time in urban logistics with driver experience and time-dependent traffic information T Krityakierne, W Laesanklang Applied Sciences 10 (20), 7156, 2020 | 2 | 2020 |
| Moments of the one-shuffle no-feedback card guessing game T Krityakierne, P Siriputcharoen, TA Thanatipanonda, C Yapolha | 1 | 2023 |
| No-feedback Card Guessing Game: Moments and distributions under the optimal strategy T Krityakierne, P Siriputcharoen, TA Thanatipanonda, C Yapolha arXiv preprint arXiv:2209.04276, 2022 | 1 | 2022 |
| Optimization Models for Efficient (t, r) Broadcast Domination in Graphs P Buathong, T Krityakierne Symmetry 13 (6), 1028, 2021 | 1 | 2021 |
| Global optimization of computationally expensive blackbox problems using radial basis functions T Krityakierne | 1 | 2014 |
