| DERN: Deep ensemble learning model for short-and long-term prediction of baltic dry index IM Kamal, H Bae, S Sunghyun, H Yun Applied Sciences 10 (4), 1504, 2020 | 58 | 2020 |
| A comparison between natural and Head/tail breaks in LSI (Landslide Susceptibility Index) classification for landslide susceptibility mapping: A case study in Ponorogo, East … A Basofi, A Fariza, AS Ahsan, IM Kamal 2015 International Conference on Science in Information Technology (ICSITech …, 2015 | 31 | 2015 |
| Gear Classification for Defect Detection in Vision Inspection System Using Deep Convolutional Neural Networks IM Kamal, R Sutrisnowati, H Bae, T Lim ICIC Express Letters. Part B, Applications: an international journal of …, 2018 | 13 | 2018 |
| Super-encoder with cooperative autoencoder networks IM Kamal, H Bae Pattern Recognition 126, 108562, 2022 | 12 | 2022 |
| Mining shift work operation from event logs NI Utama, RA Sutrisnowati, IM Kamal, H Bae, YJ Park Applied Sciences 10 (20), 7202, 2020 | 11 | 2020 |
| Forecasting High-dimensional Multivariate Regression of Baltic Dry Index (BDI) Using Deep Neural Networks (DNN) IM Kamal, H Bae, S Sim, H Kim, D Kim, Y Choi, H Yun ICIC Express Letters, An International Journal of Research and Surveys 13 …, 2019 | 10 | 2019 |
| Identifying key resources in a social network using f-PageRank IM Kamal, H Bae, L Liu, Y Choi 2017 IEEE International Conference on Web Services (ICWS), 397-403, 2017 | 10 | 2017 |
| Assessment of landslide susceptibility area in Ponorogo, East Java, Indonesia using analytical hierarchy process IM Kamal, A Fariza, A Basofi The Fourth Indonesian-Japanese Conference on Knowledge Creation and …, 2015 | 9* | 2015 |
| Gene expression prediction using stacked temporal convolutional network IM Kamal, NA Wahid, H Bae 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 8 | 2020 |
| Data pixelization for predicting completion time of events IM Kamal, H Bae, NI Utama, C Yulim Neurocomputing 374, 64-76, 2020 | 7 | 2020 |
| Semi-supervised binary classification with latent distance learning IM Kamal, H Bae Advanced Engineering Informatics 61, 102441, 2024 | 3 | 2024 |
| Metric learning as a service with covariance embedding IM Kamal, H Bae, L Liu IEEE Transactions on Services Computing 16 (5), 3508-3522, 2023 | 3 | 2023 |
| Cooperative auto-classifier networks for boosting discriminant capacity IM Kamal, H Bae Pattern Recognition Letters 160, 82-89, 2022 | 2 | 2022 |
| Trajectory linkage and spreader centrality for social epidemic networks IM Kamal, H Bae, KH Cho IEEE Access 8, 210922-210934, 2020 | 2 | 2020 |
| Angular triangle distance for ordinal metric learning IM Kamal, H Bae arXiv preprint arXiv:2211.15200, 2022 | 1 | 2022 |
| Colored petri nets simulation on the cloud with python: a framework overview NI Utama, IM Kamal, AN Iman, D Kim, H Bae, C Hong ICIC Express Letters, Part B: Applications 13 (7), 725-733, 2022 | 1* | 2022 |
| Adversarial Multivariate Regression and Auto-Regression for Predicting Completion Time of Container Terminals Operation IM Kamal, H Bae ICIC Express Letters 15 (7), 737–746, 2021 | 1 | 2021 |
| Mitigation and Emergency Management System of Landslide in Ponorogo District, Indonesia A Basofi, A Fariza, IM Kamal JOIV: International Journal on Informatics Visualization 3 (2), 100-107, 2019 | 1 | 2019 |
| Petri Nets Simulation for Operational Analytics Based on Process Data: An Overview HB Natanael Yabes Wirawan, Riska Asriana Sutrisnowati, Sunghyun Sim, Nur ... International Journal of Innovative Computing, Information and Control …, 2018 | 1* | 2018 |
| Distributed GAN with Swift Learning Mechanism for Scalable Multi-Party Tabular Data Synthesis IM Kamal, C Fatichah 2024 IEEE 10th Information Technology International Seminar (ITIS), 145-150, 2024 | | 2024 |
Hyerim BaePusan National University在 pusan.ac.kr 的电子邮件经过验证
