21 citations · 69 across the 9 of their papers we have counts for
9 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…
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…
A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text
Sadikin Mujiono, Mohamad Ivan Fanany, Chan Basaruddin
One essential task in information extraction from the medical corpus is drug name recognition. Compared with text sources come from other domains, the medical text is special and h…