most citedOptimization of Convolutional Neural Network using Microcanonical Annealing Algorithm

15 citations · 31 across the 4 of their papers we have counts for

collaborators

6 papers

stat.AP2024

Settlement Mapping for Population Density Modelling in Disease Risk Spatial Analysis

Mirza Alim Mutasodirin, Rafi Dwi Rizqullah, Andie Setiyoko +1

In disease risk spatial analysis, many researchers especially in Indonesia are still modelling population density as the ratio of total population to administrative area extent. Th…

cs.CV2022

Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia

Bella Septina Ika Hartanti, Valentino Vito, Aniati Murni Arymurthy +1

Deforestation is one of the contributing factors to climate change. Climate change has a serious impact on human life, and it occurs due to emission of greenhouse gases, such as ca…

cs.CV201615 cited

Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm

Vina Ayumi, L. M. Rasdi Rere, Mohamad Ivan Fanany +1

Convolutional neural network (CNN) is one of the most prominent architectures and algorithm in Deep Learning. It shows a remarkable improvement in the recognition and classificatio…

cs.NE20163 cited

Sequence-based Sleep Stage Classification using Conditional Neural Fields

Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthy

Sleep signals from a polysomnographic database are sequences in nature. Commonly employed analysis and classification methods, however, ignored this fact and treated the sleep sign…

cs.LG20161 cited

Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization

Endang Purnama Giri, Mohamad Ivan Fanany, Aniati Murni Arymurthy

In 2015, stroke was the number one cause of death in Indonesia. The majority type of stroke is ischemic. The standard tool for diagnosing stroke is CT-Scan. For developing countrie…

cs.LG201612 cited

Combining Generative and Discriminative Neural Networks for Sleep Stages Classification

Endang Purnama Giri, Mohamad Ivan Fanany, Aniati Murni Arymurthy

Sleep stages pattern provides important clues in diagnosing the presence of sleep disorder. By analyzing sleep stages pattern and extracting its features from EEG, EOG, and EMG sig…