Research output per year
Research output per year
Personal profile
Education
2021 Ph.D., Dongguk University
2016 M.S., National Taiwan University of Science and Technology
2014 B.S., UIN Sunan Kalijaga
2016 M.S., National Taiwan University of Science and Technology
2014 B.S., UIN Sunan Kalijaga
Professional Experience
• (2022-present) Assistant professor of Artificial Intelligence and Data Science, Sejong University, South Korea
Research Interests
• Health Informatics, Machine Learning, Deep Learning, Artificial Intelligence, Statistics
Major Research Achievements
• Studies on the development of machine learning-based prediction models for disease diagnosis
• Studies on the development of deep learning-based prediction models for disease diagnosis
• Studies on the development of machine learning-based prediction models for the automotive industry
• Studies on the development of machine learning-based prediction models in finance
• Studies on the development of deep learning-based prediction models in finance
• Studies on the development of deep learning-based prediction models for disease diagnosis
• Studies on the development of machine learning-based prediction models for the automotive industry
• Studies on the development of machine learning-based prediction models in finance
• Studies on the development of deep learning-based prediction models in finance
Fingerprint
Dive into the research topics where Norma Latif Fitriyani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Detection of monkeypox skin lesions using edge enhancement algorithms integrated with hybrid deep learning
Ain, H. U., Ramzan, S., Munwar Iqbal, M., Raza, A., Raoof, F., Latif Fitriyani, N., Syafrudin, M. & Won Lee, S., 1 Jan 2026, In: Digital Health. 12Research output: Contribution to journal › Article › peer-review
Open Access -
Enhanced interpretable detection and stage prediction of chronic kidney disease through an ensemble learning approach
Ramzan, S., Khalid, S., Iqbal, M. M., Raza, A., Smerat, A., Gu, Y., Syafrudin, M. & Fitriyani, N. L., 2026, In: PeerJ Computer Science. 12, e3380.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling of Platelet and Hematocrit in Dengue Hemorrhagic Fever (DHF) Patients Using Semiparametric Bi-response Regression Approach Based on Local Polynomial Estimator for Longitudinal Data
Utami, T. W., Utami, T. W., Chamidah, N., Chamidah, N., Saifudin, T., Saifudin, T., Lestari, B., Lestari, B., Fitriyani, N. L. & Fitriyani, N. L., 1 Jan 2026, In: Journal of Multidisciplinary Applied Natural Science. 6, 1, p. 382-398 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-step-ahead forecasting of bike-sharing demand using multilayer perceptron model with additional timestamp features
Alfian, G., Saputra, Y. M., Ramadhani, W. D., Atmaji, F. T. D., Farooq, U., Benes, F., Fitriyani, N. L. & Syafrudin, M., 2026, In: PeerJ Computer Science. 12, e3472.Research output: Contribution to journal › Article › peer-review
Open Access -
Retraction Note: Towards improved fake news detection using a hybrid RoBERTa and metadata enhanced XGBoost model (Scientific Reports, (2025), 16, 1, (1967), 10.1038/s41598-025-29942-y)
Ali, A., Haider, Z., Shahbaz, H., Masood, H., Gul, B., Rashid, A., Waheed, Z., Ha, J., Kim, C., Syafrudin, M. & Fitriyani, N. L., Dec 2026, In: Scientific Reports. 16, 1, 13633.Research output: Contribution to journal › Comment/debate
Open Access