| Survey of feature selection and extraction techniques for stock market prediction HH Htun, M Biehl, N Petkov Financial Innovation 9 (1), 26, 2023 | 72 | 2023 |
| Concept name similarity measure on SNOMED CT HH Htun, V Sornlertlamvanich Knowledge and Systems Sciences: 18th International Symposium, KSS 2017 …, 2017 | 4 | 2017 |
| Forecasting relative returns for S&P 500 stocks using machine learning HH Htun, M Biehl, N Petkov Financial Innovation 10 (1), 118, 2024 | 3 | 2024 |
| Text similarity approach for SNOMED CT primitive concept similarity measure HH Htun, V Sornlertlamvanich 2017 8th International Conference of Information and Communication …, 2017 | 1 | 2017 |
| Towards automatic generation of “preference profile” for primitive concept similarity measures on SNOMED CT HH Htun, V Sornlertlamvanich, B Suntisrivaraporn 2016 11th International Conference on Knowledge, Information and Creativity …, 2016 | 1 | 2016 |
| SNOMED CT Primitive Concept Similarity Measure by Concept Name Text Similarity Approach HH Htun, V Sornlertlamvanich Information Modelling and Knowledge Bases XXIX, 373-382, 2018 | | 2018 |
| SNOMED CT HH Htun, V Sornlertlamvanich | | |
Michael BiehlUniversity of Groningen, Bernoulli Institute在 rug.nl 的电子邮件经过验证
