Rio Arifando

Improve performance of extreme learning machine in classification of patchouli varieties with imbalanced class

Beryl Labique Ahmadie, Yoke Kusuma Arbawa, W. Mahmudy, 2020, SIET.

Combination of Morphology, Wavelet and Convex Hull Features in Classification of Patchouli Varieties with Imbalance Data using Artificial Neural Network

Beryl Labique Ahmadie, Muh. Arif Rahman, W. Mahmudy, 2021, Journal of Applied Research and Technology.

Hybrid Genetic Algorithm & Learning Vector Quantization for Classification of Social Assistance Recipients

Wayan Firdaus Mahmudy, Rio Arifando, Fendy Yulianto, 2019, 2019 International Conference on Sustainable Information Engineering and Technology (SIET).