no code implementations • 7 Oct 2016 • Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
This approach also increased the scalability of machine learning by combining scale out and scale up approaches.
no code implementations • 7 Oct 2016 • Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
We propose an Adaptive OS-ELM (AOS-ELM) for concept drift adaptability in classifier level (named ACNNELM-1) and matrices concatenation ensembles for concept drift adaptability in ensemble level (named ACNNELM-2).
no code implementations • 7 Oct 2016 • Vina Ayumi, L. M. Rasdi Rere, Mohamad Ivan Fanany, Aniati Murni Arymurthy
The performance of the proposed method is tested using the MNIST and CIFAR-10 datasets.
no code implementations • 6 Oct 2016 • Endang Purnama Giri, Mohamad Ivan Fanany, Aniati Murni Arymurthy
Because of the availability, another device that potential to diagnose stroke in Indonesia is EEG.
no code implementations • 6 Oct 2016 • Endang Purnama Giri, Mohamad Ivan Fanany, Aniati Murni Arymurthy
In this study, we used two datasets: an open data set that is treated as a benchmark; the other dataset is our sleep stages dataset (available for download) to verify the results further.
no code implementations • 6 Oct 2016 • L. M. Rasdi Rere, Mohamad Ivan Fanany, Aniati Murni Arymurthy
Furthermore, the proposed methods are also compared with the original CNN.
no code implementations • 6 Oct 2016 • Ines Heidieni Ikasari, Vina Ayumi, Mohamad Ivan Fanany, Sidik Mulyono
This study uses remote sensing technology that can provide information about the condition of the earth's surface area, fast, and spatially.
no code implementations • 6 Oct 2016 • Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
In this paper, we propose concept drift tackling method as an enhancement of Online Sequential Extreme Learning Machine (OS-ELM) and Constructive Enhancement OS-ELM (CEOS-ELM) by adding adaptive capability for classification and regression problem.
no code implementations • 6 Oct 2016 • Sadikin Mujiono, Mohamad Ivan Fanany, Chan Basaruddin
In addition, the medical text mining poses more challenges, e. g., more unstructured text, the fast growing of new terms addition, a wide range of name variation for the same drug.
no code implementations • 6 Oct 2016 • Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthy
Treating the sleep signals as sequences, this paper compared two powerful unsupervised feature extractors and three sequence-based classifiers regarding accuracy and computational (training and testing) time after 10-folds cross-validation.