The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...
This paper describes an advanced system for multilingual text classification adaptable to different user needs. The system has been initially developed as an applied research proje...
Fabio Ciravegna, Alberto Lavelli, Nadia Mana, Joha...