Kartika Fithriasari

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities
SDG 13 Climate Action
SDG 15 Life on Land

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27 Conference contribution
23 Article
12 Conference article
3 Chapter

An accuracy-level method for robust evaluation in predictive analytics
Agustini, M., Fithriasari, K. & Prastyo, D. D., Mar 2026, In: Decision Analytics Journal. 18, 100661.
Research output: Contribution to journal › Article › peer-review

Open Access
An Adaptive Robust Support Vector Machine With Sequential Minimal Optimization for Imbalanced Data Classification
Purwadi, J., Fithriasari, K. & Kuswanto, H., 2026, In: IEEE Access. 14, p. 17031-17038 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
An expectile-based neural network approach for mixed-frequency economic forecasting
Saputra, W. H., Prastyo, D. D. & Fithriasari, K., Mar 2026, In: Decision Analytics Journal. 18, 100666.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
Enhanced Beach Photo Translation using Modified Unsupervised GAN with Regularization
Fithriasari, K. & Tjahjono, B. K., 12 Jan 2026, In: IIUM Engineering Journal. 27, 1, p. 81-100 20 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Knowledge-driven nodes selection with modified LASSO regularization for neural network modeling in economic data forecasting
Saputra, W. H., Prastyo, D. D. & Fithriasari, K., 15 Mar 2026, In: Knowledge-Based Systems. 336, 115273.
Research output: Contribution to journal › Article › peer-review

Studies from Sepuluh Nopember Institute of Technology Yield New Information about Engineering (Knowledge-driven Nodes Selection With Modified Lasso Regularization for Neural Network Modeling In Economic Data Forecasting)
Fithriasari, K. & Prastyo, D. D.
16/03/26
1 item of Media coverage
Press/Media
Institut Teknologi Sepuluh Nopember (ITS) Researchers Have Provided New Data on Support Vector Machines (An Adaptive Robust Support Vector Machine With Sequential Minimal Optimization for Imbalanced Data Classification)
Fithriasari, K. & Kuswanto, H.
23/02/26
1 item of Media coverage
Press/Media
Institut Teknologi Sepuluh Nopember Researchers Describe New Findings in Engineering (Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes)
Fithriasari, K., Choiruddin, A. & Ary, W. T. D.
17/06/25
1 item of Media coverage
Press/Media
Research Study Findings from Institut Teknologi Sepuluh Nopember Update Understanding of Applied Sciences (The t-Distribution Approach to the Second-Order Multiresponse Surface Model of Paracetamol Tablets Quality Characteristics)
Fithriasari, K. & Purhadi, P.
10/04/23
1 item of Media coverage
Press/Media

Kartika Fithriasari, Dr., Dra., M.Si.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

An accuracy-level method for robust evaluation in predictive analytics

An Adaptive Robust Support Vector Machine With Sequential Minimal Optimization for Imbalanced Data Classification

An expectile-based neural network approach for mixed-frequency economic forecasting

Enhanced Beach Photo Translation using Modified Unsupervised GAN with Regularization

Knowledge-driven nodes selection with modified LASSO regularization for neural network modeling in economic data forecasting

Studies from Sepuluh Nopember Institute of Technology Yield New Information about Engineering (Knowledge-driven Nodes Selection With Modified Lasso Regularization for Neural Network Modeling In Economic Data Forecasting)

Institut Teknologi Sepuluh Nopember (ITS) Researchers Have Provided New Data on Support Vector Machines (An Adaptive Robust Support Vector Machine With Sequential Minimal Optimization for Imbalanced Data Classification)

Institut Teknologi Sepuluh Nopember Researchers Describe New Findings in Engineering (Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes)

Research Study Findings from Institut Teknologi Sepuluh Nopember Update Understanding of Applied Sciences (The t-Distribution Approach to the Second-Order Multiresponse Surface Model of Paracetamol Tablets Quality Characteristics)

Kartika Fithriasari, Dr., Dra., M.Si.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media