| UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation AA Pravitasari, N Iriawan, M Almuhayar, T Azmi, I Irhamah, K Fithriasari, ... TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (3 …, 2020 | 154 | 2020 |
| Comparative study of brain tumor segmentation using different segmentation techniques in handling noise N Iriawan, AA Pravitasari, K Fithriasari, SW Purnami, W Ferriastuti 2018 International Conference on Computer Engineering, Network and …, 2018 | 18 | 2018 |
| A deep learning review of resnet architecture for lung disease Identification in CXR Image SA Hasanah, AA Pravitasari, AS Abdullah, IN Yulita, MH Asnawi Applied Sciences 13 (24), 13111, 2023 | 12 | 2023 |
| On the Bernoulli Mixture Model for Bidikmisi Scholarship Classification with Bayesian MCMC W Suryaningtyas, N Iriawan, K Fithriasari, BSS Ulama, I Susanto, ... Journal of Physics: Conference Series 1090 (1), 012072, 2018 | 11 | 2018 |
| Bayesian Bernoulli mixture regression model for Bidikmisi scholarship classification S Wahyuni Jurnal Ilmu Komputer dan Informasi (Journal of a Science and Information) 11 …, 2018 | 11 | 2018 |
| A comparison of support vector machine and naïve Bayes classifier in binary sentiment reviews for PeduliLindungi application I Firmansyah, MH Asnawi, SA Hasanah, R Novian, AA Pravitasari 2021 International Conference on Artificial Intelligence and Big Data …, 2021 | 10 | 2021 |
| Penentuan Banyak Kelompok dalam Fuzzy C-Means Cluster Berdasarkan Proporsi Eigen Value Dari Matriks Similarity dan Indeks XB (Xie dan Beni) AA Pravitasari Seminar Nasional Matematika Dan Pendidikan Matematika 623, 2009 | 10 | 2009 |
| Lung and Infection CT-Scan-Based Segmentation with 3D UNet Architecture and Its Modification MH Asnawi, AA Pravitasari, G Darmawan, T Hendrawati, IN Yulita, ... Healthcare 11 (2), 213, 2023 | 8 | 2023 |
| MRI-based brain tumor segmentation using gaussian and hybrid gaussian mixture model-spatially variant finite mixture model with expectation-maximization algorithm AA Pravitasari, SF Qonita, NI Irhamah, K Fithriasari, SW Purnami, ... Malaysian Journal of Mathematical Sciences 14 (1), 77-93, 2020 | 8 | 2020 |
| On comparing optimizer of UNet-VGG16 architecture for brain tumor image segmentation AA Pravitasari, N Iriawan, US Nuraini, DA Rasyid Brain Tumor MRI Image Segmentation Using Deep Learning Techniques, 197-215, 2022 | 7 | 2022 |
| COVID-19 detection in chest X-rays using inception ResNet-v2 R Badrahadipura, SQN Septi, J Fachrel, IN Yulita, AA Pravitasari, ... 2021 International Conference on Artificial Intelligence and Big Data …, 2021 | 6 | 2021 |
| On the Markov chain Monte Carlo convergence diagnostic of Bayesian finite mixture model for income distribution I Susanto, N Iriawan, H Kuswanto, K Fithriasari, BSS Ulama, ... Journal of Physics: Conference Series 1090 (1), 012014, 2018 | 6 | 2018 |
| Analisis Pengelompokkan dengan Fuzzy Z-Means Cluster (Kasus Pengelompokkan Kecamatan di Kabupaten Tuban berdasarkan Tingkat Partisipasi Pendidikan) AA Pravitasari Tesis Master, 2008 | 6 | 2008 |
| Application of Bidirectional Gated Recurrent Unit (BiGRU) in Sentiment Analysis of Tokopedia Application Users D Ananda, TA Taqiyyuddin, IIN Faqih, R Badrahadipura, AA Pravitasari 2021 International Conference on Artificial Intelligence and Big Data …, 2021 | 5 | 2021 |
| Gaussian mixture model for mri image segmentation to build a three-dimensional image on brain tumor area AA Pravitasari, N Iriawan, SAN Solichah, I Irhamah, K Fithriasari, ... Matematika, 217-234, 2020 | 5 | 2020 |
| Mixture model for image segmentation using Gaussian, Student’st, and Laplacian distribution with spatial dependence N Iriawan, AA Pravitasari, I Irhamah, K Fithriasari, SW Purnami, ... AIP Conference Proceedings 2194 (1), 2019 | 5 | 2019 |
| YOLO‐UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image N Iriawan, AA Pravitasari, US Nuraini, NI Nirmalasari, T Azmi, M Nasrudin, ... Applied Computational Intelligence and Soft Computing 2024 (1), 3819801, 2024 | 4 | 2024 |
| Enhancing an imbalanced lung disease x-ray image classification with the CNN-LSTM model J Fachrel, AA Pravitasari, IN Yulita, MN Ardhisasmita, F Indrayatna Applied sciences 13 (14), 8227, 2023 | 4 | 2023 |
| A Bayesian neo-normal mixture model (nenomimo) for MRI-Based brain tumor segmentation AA Pravitasari, N Iriawan, K Fithriasari, SW Purnami, Irhamah, ... applied sciences 10 (14), 4892, 2020 | 4 | 2020 |
| Bayesian spatially constrained fernandez-steel skew normal mixture model for MRI-based brain tumor segmentation AA Pravitasari, NI Nirmalasari, N Iriawan, I Irhamah, K Fithriasari, ... AIP Conference Proceedings 2194 (1), 2019 | 4 | 2019 |
