| Machine learning: using optimized KNN (K-Nearest Neighbors) to predict the facies classifications H Pratama The 13th SEGJ International Symposium, Tokyo, Japan, 12-14 November 2018 …, 2019 | 16 | 2019 |
| Automated geological features detection in 3D seismic data using semi-supervised learning H Pratama, AHA Latiff Applied Sciences 12 (13), 6723, 2022 | 4 | 2022 |
| Early Results of Comparison between K-Nearest Neighbor and Artificial Neural Network Method for Facies Estimation H Pratama, LA Syahputra, MF Albany, A Abdullah, SK Suhardja, ... Jurnal Geofisika 18 (1), 7-13, 2020 | 1 | 2020 |
| Lessons Learnt for Tuning a Machine Learning Fault Prediction Model H Pratama, M Oke, W Mogg, D Markus, A Huck, P de Groot First Break 42 (2), 49-56, 2024 | | 2024 |
| Missing Seismic Trace Estimation using Generative Adversarial Network: Image-to-Image Translation Method H Pratama, S Sandasegaran, L Syahputra, S Teng, M Putra 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| Automated Geological Interpretation In 3D Seismic Data Using Semi-Supervised Learning H Pratama Universiti Teknologi PETRONAS, 2023 | | 2023 |
| Mapping the Distribution of Reservoir Facies on 3D Seismic Data using Convolutional Neural Networks H Pratama, A Latiff, D Markus, E Purnomo Asia Petroleum Geoscience Conference and Exhibition (APGCE) 2022 (1), 1-5, 2022 | | 2022 |
| PENGGUNAAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK MENDELINEASI PATAHAN PADA DATA SEISMIK 3D H PRATAMA Teknik Geofisika Universitas Pertamina, 2020 | | 2020 |
