Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
We have developed PVS (Protein Variability Server), a web-based tool that uses several variability metrics to compute the absolute site variability in multiple protein-sequence al...
Maria Garcia-Boronat, Carmen M. Diez-Rivero, Ellis...
This study investigates whether some speech recognition (SR) errors are easier to detect and what patterns can be identified from those errors. Specifically, SR errors were exam...
Abstract. Virtual memory of computers is usually implemented by demand paging. For some page replacement algorithms the number of page faults may increase as the number of page fra...