Intelligent kernel k-means for clustering gene expression T Handhayani, L Hiryanto Procedia Computer Science 59, 171-177, 2015 | 39 | 2015 |
Comparison of shallow and deep learning models for classification of Lasem batik patterns T Handhayani, J Hendryli, L Hiryanto 2017 1st International Conference on Informatics and Computational Sciences …, 2017 | 26 | 2017 |
Batik Lasem images classification using voting feature intervals 5 and statistical features selection approach T Handhayani 2016 International Seminar on Intelligent Technology and Its Applications …, 2016 | 22 | 2016 |
An integrated analysis of air pollution and meteorological conditions in Jakarta T Handhayani Scientific Reports 13 (1), 5798, 2023 | 17 | 2023 |
A Comparison of LSTM and BiLSTM for Forecasting the Air Pollution Index and Meteorological Conditions in Jakarta T Handhayani, I Lewenusa, DE Herwindiati, J Hendryli 2022 5th International Seminar on Research of Information Technology and …, 2022 | 13 | 2022 |
Student graduation time prediction using intelligent K-Medoids Algorithm L Cahaya, L Hiryanto, T Handhayani 2017 3rd International Conference on Science in Information Technology …, 2017 | 12 | 2017 |
Hand signature and handwriting recognition as identification of the writer using gray level cooccurrence matrix and bootstrap L Hiryanto, AR Yohannis, T Handhayani 2017 Intelligent Systems Conference (IntelliSys), 1103-1110, 2017 | 8 | 2017 |
Identifikasi Penulis Melalui Pola Tulisan Tangan Menggunakan Algoritma Support Vactor Machine T Handhayani Jurnal Muara 1 (1), 210-217, 2017 | 8 | 2017 |
Kernel-based Approach for Learning Causal Graphs from Mixed Data T Handhayani, J Cussens International Conference on Probabilistic Graphical Models, 221-232, 2020 | 7 | 2020 |
Leboh: An Android Mobile Application for Waste Classification Using TensorFlow Lite T Handhayani, J Hendryli Proceedings of SAI Intelligent Systems Conference, 53-67, 2022 | 6 | 2022 |
Kernel-based approach to handle mixed data for inferring causal graphs T Handhayani, J Cussens arXiv preprint arXiv:1910.03055, 2019 | 4 | 2019 |
Fully unsupervised clustering in nonlinearly separable data using intelligent Kernel K-Means T Handhayani, I Wasito 2014 International Conference on Advanced Computer Science and Information …, 2014 | 4 | 2014 |
Kernel based integration of gene expression and DNA copy number T Handhayani, I Wasito, M Sadikin 2013 International Conference on Advanced Computer Science and Information …, 2013 | 3 | 2013 |
An Intelligent Clustering Approach For Analyzing A Multivariate Time Series Dataset, Case Study COVID-19 Outbreak in Indonesia T Handhayani, I Lewenusa International Conference on Telecommunication Systems, Services, and …, 2023 | 2 | 2023 |
K-Means Using Dynamic Time Warping For Clustering Cities in Java Island According to Meteorological Conditions T Handhayani, Z Rusdi International Conference on Informatics and Computing (ICIC), 1-6, 2023 | 2 | 2023 |
Analysis And Forecasting of Foodstuffs Prices in Bandung Using Gated Recurrent Unit M Oni, MD Lauro, A Winata, T Handhayani Jurnal Esensi Infokom : Jurnal esensi sistem informasi dan sistem komputer 7 …, 2023 | 1 | 2023 |
PEMANFAATAN SOSIAL MEDIA INSTAGRAM SEBAGAI SARANA PROMOSI FASHION BATIK LASEM T Handhayani Jurnal Bakti Masyarakat Indonesia 6 (1), 183-190, 2023 | 1 | 2023 |
An Automatic Recognition System for Digital Collections of Indonesian Traditional Houses Using Convolutional Neural Networks for Cultural Heritage Preservation T Handhayani, AH Pawening, J Hendryli International Journal of Computational Intelligence and Applications 22 (02 …, 2023 | 1 | 2023 |
An Introduction to the Process of Making the Indonesian Handmade Batik Lasem T Handhayani ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat 6 (2), 3369-3374, 2023 | 1 | 2023 |
Predicting and Analyzing the Length of Study-Time Case Study: Computer Science Students T Handhayani, L Hiryanto ComTech: Computer, Mathematics and Engineering Applications 8 (2), 107-114, 2017 | 1 | 2017 |