Introduction: There is more image data available to planetary scientists now than at any time in history. The problem now is how to best make use of it. It is impractical to analyze such large datasets manually, while development of handwritten feature extraction tools is expensive and laborious. This project explores the use of machine learning techniques to develop feature extraction algorith...

Specialized development environments represent today an important added value for domain specific system providers suffering the lack of a dedicated, ergonomic, efficient and affordable tool able to boost their core business. This paper describes Audio n-Genie, a domain specific language and its associated development environment supporting the automatic production, by mean of component-based m...

Thermostats are the primary interface for occupants of office buildings to express their thermal comfort preferences. However, traditional thermostats are often ineffective due to physical inaccessibility, lack of information or limited responsiveness, which lead to occupant discomfort. Modern thermostat designs do overcome some of these limitations, but retrofitting them to existing buildings ...

The AACR Project GENIE is an international data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients treated at multiple institutions worldwide. In conjunction with the first public data release from approximately 19,000 samples, we describe th...

Introduction: Planetary exploration missions have returned a wealth of imagery data over the last 40 years. The problem is how to make best use of it all. Thoroughly analyzing such large datasets manually is impractical, but developing handwritten feature extraction software is difficult and expensive. The current project explores the use of machine learning techniques to automate the developme...

“Survival of the fittest” is often seen as the driving force behind adaptation and evolution. For sure, all evolutionary algorithms use fitness-based selection. However, it is not necessary to know where you are, to know where you are going. Similarly, it is not necessary to know the fitness of a solution, to find a better solution. The GENIE algorithm uses random parent selection and a non-eli...

The Critical Period hypothesis and its successors have been widely tested in relation to Second Language Acquisition. This paper presents a brief review of some of the research ndings, and concludes that the jury is still out on the extent to which age correlates inversely with ultimate attainment in a second language. It suggests that there is too much evidence of high achievement amongst adul...