Fake news identification characteristics using named entity recognition and phrase detection HS Al-Ash, WC Wibowo 2018 10th International Conference on Information Technology and Electrical …, 2018 | 36 | 2018 |
Ensemble learning approach on indonesian fake news classification HS Al-Ash, MF Putri, P Mursanto, A Bustamam 2019 3rd international conference on informatics and computational sciences …, 2019 | 33 | 2019 |
Evaluation of dengue model performances developed using artificial neural network and random forest classifiers P Silitonga, BE Dewi, A Bustamam, HS Al-Ash Procedia Computer Science 179, 135-143, 2021 | 16 | 2021 |
High Accuracy Conversational AI Chatbot Using Deep Recurrent Neural Networks Based on BiLSTM Model P Anki, A Bustamam, HS Al-Ash, D Sarwinda 2020 3rd International Conference on Information and Communications …, 2020 | 14 | 2020 |
A novel centroid initialization in missing value imputation towards mixed datasets T Siswantining, T Anwar, D Sarwinda, HS Al-Ash Commun. Math. Biol. Neurosci. 2021, Article ID 11, 2021 | 8 | 2021 |
Intelligent chatbot adapted from question and answer system using RNN-LSTM model P Anki, A Bustamam, HS Al-Ash, D Sarwinda Journal of Physics: Conference Series 1844 (1), 012001, 2021 | 8 | 2021 |
The distance function approach on the MiniBatchKMeans algorithm for the DPP-4 inhibitors on the discovery of type 2 diabetes drugs S Syarofina, A Bustamam, A Yanuar, D Sarwinda, HS Al-Ash, A Hayat Procedia Computer Science 179, 127-134, 2021 | 7 | 2021 |
Triclustering Discovery Using the δ-Trimax Method on Microarray Gene Expression Data T Siswantining, N Saputra, D Sarwinda, HS Al-Ash Symmetry 13 (3), 437, 2021 | 6 | 2021 |
Triclustering method for finding biomarkers in human immunodeficiency virus-1 gene expression data T Siswantining, A Bustamam, D Sarwinda, SM Soemartojo, MA Latief, ... Mathematical Biosciences and Engineering 19 (7), 6743-6763, 2022 | 3 | 2022 |
Indonesian protected health information removal using named entity recognition HS Al-Ash, I Fanany, A Bustamam 2019 12th International conference on information & communication technology …, 2019 | 3 | 2019 |
Iterative bicluster-based Bayesian principal component analysis and least squares for missing-value imputation in microarray and RNA-sequencing data SM Soemartojo, T Siswantining, Y Fernando, D Sarwinda, HS Al-Ash, ... Mathematical Biosciences and Engineering 19 (9), 8741-8759, 2022 | 2 | 2022 |
An ensemble learning approach on Indonesian wind speed regression HS Al-Ash, MF Putri, AM Arymurthy, A Bustamam 2019 12th International Conference on Information & Communication Technology …, 2019 | 1 | 2019 |
Payment Type Classification on Urban Taxi Big Data using Deep Learning Neural Network HS Al-Ash, A Wibisono, AA Krisnadhi 2018 International Conference on Advanced Computer Science and Information …, 2018 | 1 | 2018 |
Correction: Triclustering method for finding biomarkers in human immunodeficiency virus-1 gene expression data T Siswantining, A Bustamam, D Sarwinda, SM Soemartojo, M Abdul, ... Mathematical biosciences and engineering: MBE 20 (4), 7298-7301, 2023 | | 2023 |
Implementation of Ensemble Self-Organizing Maps for Missing Values Imputation T Siswantining, KG Vivaldi, D Sarwinda, SM Soemartojo, I Mattasari, ... Indonesian Journal of Statistics and Its Applications 6 (1), 1-12, 2022 | | 2022 |
Analysis and prediction of protein interactions between HIV-1 protein and human protein using LCM-MBC algorithm combined with association rule mining T Siswantining, A Bustamam, O Swasti, HS Al-Ash Commun. Math. Biol. Neurosci. 2021, Article ID 64, 2021 | | 2021 |
Triclustering Discovery Using the δ-Trimax Method on Microarray Gene Expression Data. Symmetry 2021, 13, 437 T Siswantining, N Saputra, D Sarwinda, HS Al-Ash s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Image Cryptography using Complex Quadratic Map TS Gunawan, HS Al-Ash, AM Arymurthy, A Bustamam 2019 International Workshop on Big Data and Information Security (IWBIS), 97-102, 2019 | | 2019 |
MULTIPLE IMPUTATION FOR ORDINARY COUNT DATA BY NORMAL DISTRIBUTION APPROXIMATION T Siswantining, M Ihsan, SM Soemartojo, D Sarwinda, HS Al-Ash, IM Sari MEDIA STATISTIKA 14 (1), 68-78, 0 | | |