Kartika Fithriasari

发表

Clustering stationary and non-stationary time series based on autocorrelation distance of hierarchical and k-means algorithms

Mohammad Alfan Alfian Riyadi, Dian Sukma Pratiwi, Aldho Riski Irawan, 2017 .

Comparative study of Brain Tumor Segmentation using Different Segmentation Techniques in Handling Noise

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2018, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM).

Bayesian spatially constrained Fernandez-Steel Skew Normal Mixture model for MRI-based brain tumor segmentation

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

Klasifikasi Berita Indonesia Menggunakan Metode Naive Bayesian Classification dan Support Vector Machine Dengan Confix Stripping Stemmer

Kartika Fithriasari, Dio Ariadi, Kartika Fithriasari, 2015 .

Gaussian Mixture Model for MRIImage Segmentation to Build a Three-Dimensional Image on Brain Tumor Area

Santi Wulan Purnami, Irhamah Irhamah, Nur Iriawan, 2020 .

On The Markov Chain Monte Carlo Convergence Diagnostic of Bayesian Finite Mixture Model for Income Distribution

Suhartono, Heri Kuswanto, Nur Iriawan, 2018, Journal of Physics: Conference Series.

Mixture model for image segmentation using Gaussian, Student’s t, and Laplacian distribution with spatial dependence

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

MRI-based brain tumor segmentation using Gaussian mixture model with reversible jump Markov chain Monte Carlo algorithm

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2019, THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION.

A Bayesian Neo-Normal Mixture Model (Nenomimo) for MRI-Based Brain Tumor Segmentation

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2020, Applied Sciences.

Multiresponse surface methodology to optimize the tablet’s quality characteristics

Purhadi, Sutikno, Kartika Fithriasari, 2019 .

On The Bernoulli Mixture Model for Bidikmisi Scholarship Classification with Bayesian MCMC

Nur Iriawan, Kartika Fithriasari, Anindya Apriliyanti Pravitasari, 2018, Journal of Physics: Conference Series.

On the Markov Chain Monte Carlo Convergence Diagnostic of Bayesian Bernoulli Mixture Regression Model for Bidikmisi Scholarship Classification

Nur Iriawan, Brodjol Sutijo Suprih Ulama, Kartika Fithriasari, 2019, Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017).

On The Comparison: Random Forest, SMOTE-Bagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java

Nur Iriawan, Brodjol Sutijo Suprih Ulama, Kartika Fithriasari, 2018, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM).

UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation

Santi Wulan Purnami, Irhamah Irhamah, Nur Iriawan, 2020, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Data Mining Approach for Educational Decision Support

Kartika Fithriasari, Sinta Septi Pangastuti, Nur Iriawan, 2021 .

Unsupervised Learning for MRI Brain Tumor Segmentation with Spatially Variant Finite Mixture Model in Reversible Jump MCMC Algorithm

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2021, Journal of Physics: Conference Series.

Bayesian MSTBurr mixture model in the construction of 3D-MRI brain tumor images

Santi Wulan Purnami, Irhamah, Nur Iriawan, 2021 .