Data-Driven Audiogram Classification for Mobile Audiometry

Conjoint Audiogram Estimation via Gaussian Process Classification

Fuzzy Data Envelopment Analysis for Classification of Streaming Data

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle strea...

Fuzzy Data Envelopment Analysis for Classification of Streaming Data

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle strea...

Mobile Sensing for Data-Driven Mobility Modeling

The use of mobile sensed location data for realistic human track generation is privacy sensitive. People are unlikely to share their private mobile phone data if their tracks were to be simulated. However, the ability to realistically generate human mobility in computer simulations is critical for advances in many domains, including urban planning, emergency handling, and epidemiology studies. ...

Experimental data driven robot for pattern classification

In this paper the problem whether or not a human being can plan a tour for a mobile robot with a camera so that all changes in the room are detected within a time limit is investigated. A tour simulator and a game based on it are developed. The plan of the winner of the game is used for a driving real robot. It is shown that this plan is two times shorter (as Java bytecode for Lego RCX) than th...