research
∙
10/07/2016
Distributed Averaging CNN-ELM for Big Data
Increasing the scalability of machine learning to handle big volume of d...
share
research
∙
10/07/2016
Adaptive Convolutional ELM For Concept Drift Handling in Online Stream Data
In big data era, the data continuously generated and its distribution ma...
research
∙
10/07/2016
Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm
Convolutional neural network (CNN) is one of the most prominent architec...
research
∙
10/06/2016
Sequence-based Sleep Stage Classification using Conditional Neural Fields
Sleep signals from a polysomnographic database are sequences in nature. ...
research
∙
10/06/2016
Metaheuristic Algorithms for Convolution Neural Network
A typical modern optimization technique is usually either heuristic or m...
research
∙
10/06/2016
Adaptive Online Sequential ELM for Concept Drift Tackling
A machine learning method needs to adapt to over time changes in the env...
research
∙
10/06/2016
A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text
One essential task in information extraction from the medical corpus is ...
research
∙
10/06/2016
Multiple Regularizations Deep Learning for Paddy Growth Stages Classification from LANDSAT-8
This study uses remote sensing technology that can provide information a...
research
∙
10/06/2016
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization
In 2015, stroke was the number one cause of death in Indonesia. The majo...
research
∙
10/06/2016