100 citations · 169 across the 10 of their papers we have counts for
10 papers
Distributed Averaging CNN-ELM for Big Data
Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
Increasing the scalability of machine learning to handle big volume of data is a challenging task. The scale up approach has some limitations. In this paper, we proposed a scale ou…
Adaptive Convolutional ELM For Concept Drift Handling in Online Stream Data
Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
In big data era, the data continuously generated and its distribution may keep changes overtime. These challenges in online stream of data are known as concept drift. In this paper…
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…
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…
Metaheuristic Algorithms for Convolution Neural Network
L. M. Rasdi Rere, Mohamad Ivan Fanany, Aniati Murni Arymurthy
A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the research area of science…
Adaptive Online Sequential ELM for Concept Drift Tackling
Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
A machine learning method needs to adapt to over time changes in the environment. Such changes are known as concept drift. In this paper, we propose concept drift tackling method a…