There are more than 962 million people aged 60 and up globally. Physical activity declines as get older, does their capacity to undertake everyday tasks, effecting both physical mental health. Many researchers use machine learning deep methods recognize human activities, but very few studies have been focused on recognition of elderly people. This paper focuses providing assistance by monitorin...

PURPOSE The reliability of microarray-based cancer prognosis is questioned by Michiels et al. They reanalyzed seven studies published in the prominent journals as successful stories of microarray-based cancer prognosis and concluded that the originally reported assessments are over optimistic. We set to investigate the reality of microarrays for predicting cancer prognosis by using the same dat...

The convolutional neural networks (CNN) have shown promising results for various classification problems over the past years. However, selecting CNN architectures is still challenging as each architecture performs differently with same dataset. This research aims to evaluate dependence of brain MRI on predictive models based complexity data Brain Tumor and Alzheimer’s Disease. Our proposed appr...

Existing studies have attempted to determine the tool chipping condition using indirect method of data capture and intelligent analysis techniques considering machine parameters, conditions signal processing techniques. Due obstructive nature machining operation, however, it is daunting use capturing intelligently as well that workpiece. This study aimed apply some advanced vibration signals ca...

Tuberculosis (TB) merupakan penyakit infeksi saluran pernapasan yang umumnya menyerang paru-paru. Indonesia memiliki permasalahan underreporting dan underdiagnosis kasus TB. Chest x-ray (CXR) salah satu sarana utama dalam pendeteksian TB pada CXR sensitifitas tinggi mendeteksi abnormalitas paru-paru menjadi ciri-ciri penderita pasien tidak menunjukkan gejala Pendeteksian dapat dibantu dengan me...

Sentiment Analysis has become an indispensible part of product reviews in present scenario. Sentiment Analysis is a very well studied field, but the scale remains limited to not more than a few hundred researchers. The problem of analyzing the overall sentiment of a document using Machine learning techniques has been considered. Results have been improved using multiple kernel approach and comp...

Hyper-parameter tuning is a resource-intensive task when optimizing classification models. The commonly used k-fold cross validation can become intractable in large scale settings when a classifier has to learn billions of parameters. At the same time, in real-world, one often encounters multi-class classification scenarios with only a few labeled examples; model selection approaches often offe...

Data mining has many functionalities. One of the main functions of data mining is the classification that is used to predict the class and generate information based on historical data. In the classification, there is a lot of algorithms that can be used to process the input into the desired output, thus it is very important to observe the performance of each algorithm. The purpose of this rese...

We present a new family of model selection algorithms based on the resampling heuristics. It can be used in several frameworks, do not require any knowledge about the unknown law of the data, and may be seen as a generalization of local Rademacher complexities and V fold cross-validation. In the case example of least-square regression on histograms, we prove oracle inequalities, and that these ...