Q-learning algorithms: A comprehensive classification and applications B Jang, M Kim, G Harerimana, JW Kim IEEE access 7, 133653-133667, 2019 | 609 | 2019 |
Bi-LSTM model to increase accuracy in text classification: Combining Word2vec CNN and attention mechanism B Jang, M Kim, G Harerimana, S Kang, JW Kim Applied Sciences 10 (17), 5841, 2020 | 438 | 2020 |
Health big data analytics: A technology survey G Harerimana, B Jang, JW Kim, HK Park Ieee Access 6, 65661-65678, 2018 | 130 | 2018 |
Deep learning for electronic health records analytics G Harerimana, JW Kim, H Yoo, B Jang IEEE Access 7, 101245-101259, 2019 | 57 | 2019 |
A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data G Harerimana, JW Kim, B Jang Journal of biomedical informatics 118, 103778, 2021 | 38 | 2021 |
A multi-headed transformer approach for predicting the patient’s clinical time-series variables from charted vital signs G Harerimana, JW Kim, B Jang IEEE Access 10, 105993-106004, 2022 | 9 | 2022 |
HSGA: A Hybrid LSTM-CNN Self-Guided Attention to predict the future diagnosis from discharge narratives G Harerimana, GI Kim, JW Kim, B Jang IEEE Access, 2023 | 3 | 2023 |
A Real-Time Face Recognition Attendance Using Machine Learning HGKI Umurerwa Marie Adeline Communications in Computer and Information Science 1818 (2023), 91–107, 2023 | | 2023 |