| Klasifikasi Berita Indonesia Menggunakan Metode Naive Bayesian Classification dan Support Vector Machine dengan Confix Stripping Stemmer D Ariadi, K Fithriasari Jurnal Sains dan Seni ITS 4 (2), 2016 | 45 | 2016 |
| Klasifikasi berita online menggunakan metode support vector machine dan k-nearest neighbor SN Asiyah Institut Teknologi Sepuluh Nopember, 2016 | 42 | 2016 |
| UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation AA Pravitasari, N Iriawan, M Almuhayar, T Azmi, K Fithriasari, ... Telkomnika 18 (3), 1310-1318, 2020 | 20 | 2020 |
| Prediction of hourly rainfall using Bayesian neural network with adjusting procedure K Fithriasari, N Iriawan, BSS Ulama, H Kuswanto The third basic science international conference, 2013 | 11 | 2013 |
| On The Multivariate Time Series Rainfall Modeling Using TDNN K Fithriasari, N Iriawan, BSS Ulama International Journal of Applied Mathematics and Statistics 44 (14), 193-201, 2013 | 11* | 2013 |
| Implementasi Text Mining pada Analisis Sentimen Pengguna Twitter Terhadap Media Mainstream Menggunakan Naive Bayes Classifier dan Support Vector Machine T Kurniawan Institut Teknologi Sepuluh Nopember, 2017 | 10 | 2017 |
| 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 | 8 | 2018 |
| Drought risk mapping in East Nusa Tenggara Indonesia based on return periods H Kuswanto, K Fithriasari, R Inas Asian J. Sci. Res 11 (4), 489-497, 2018 | 8 | 2018 |
| Clustering stationary and non-stationary time series based on autocorrelation distance of hierarchical and k-means algorithms MAA Riyadi, DS Pratiwi, AR Irawan, K Fithriasari International Journal of Advances in Intelligent Informatics 3 (3), 154-160, 2017 | 8 | 2017 |
| Data Mining Peramalan Konsumsi Listrik dengan Pendekatan Cluster Time Series sebagai Preprocessing MAA Riyadi, K Fithriasari, DA Widodo Jurnal Sains dan Seni ITS 5 (1), D121-D126, 2016 | 8 | 2016 |
| ANALISIS DAMPAK COVID-19 BAGI UMKM DI JAWA TIMUR A Aminy, K Fithriasari Seminar Nasional Official Statistics 2020 (1), 15-22, 2020 | 7 | 2020 |
| Topic modeling twitter data using latent dirichlet allocation and latent semantic analysis S Qomariyah, N Iriawan, K Fithriasari AIP conference proceedings 2194 (1), 020093, 2019 | 7 | 2019 |
| Bayesian Bernoulli mixture regression model for Bidikmisi scholarship classification NUR Iriawan, K Fithriasari, BSS Ulama, W Suryaningtyas, I Susanto, ... Jurnal Ilmu Komputer dan Informasi 11 (2), 67-76, 2018 | 7 | 2018 |
| Pengelompokan Kabupaten/Kota di Jawa Timur Berdasarkan Indikator Kesehatan Masyarakat Menggunakan Metode Kohonen SOM dan K-Means MM Putri Institut Technology Sepuluh Nopember, 2015 | 7 | 2015 |
| 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 | 6 | 2018 |
| Pendekatan Modified Particle Swarm Optimization dan Artificial Bee Colony pada Fuzzy Geographically Weighted Clustering (Studi Kasus pada Faktor Stunting Balita di Provinsi … BS Hadi Institut Teknologi Sepuluh Nopember, 2017 | 6 | 2017 |
| Klasifikasi Kesejahteraan Rumah Tangga di Provinsi Papua dengan Metode Regresi Logistik dan Support Vector Machine RP Sahitayakti, K Fithriasari Jurnal Sains dan Seni ITS 4 (2), 2016 | 6 | 2016 |
| 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 | 5 | 2018 |
| Komparasi Metode EM-GMM (Expectation Maximization-Gaussian Mixture Model) dan FCM (Fuzzy C-Means) dalam Segmentasi Citra Otak MRI (Magnetic Resonance Imaging) di RSUD Soetomo … WHG Sianipar Intitut Teknologi Sepuluh Nopember, 2017 | 5 | 2017 |
| Analisis Pengaruh Pertumbuhan Ekonomi terhadap Dimensi Pembangunan Manusia dengan Menggunakan Response Based Unit Segmentation In Partial Least Square (REBUS PLS) HA REAGAN Institut Teknologi Sepuluh Nopember, 2016 | 5 | 2016 |
Nur IriawanStatistics Department - Institut Teknologi Sepuluh Nopember (ITS), Surabaya, IndonesiaVerified email at statistika.its.ac.id
