The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
To contribute to HCI investigation and interface design that develops interactive systems for creative solutions, I attempt to formulate a model of the human capability to combine...
COMPASS is a method for homology detection and local alignment construction based on the comparison of multiple sequence alignments (MSAs). The method derives numerical profiles f...
Ruslan Sadreyev, Ming Tang, Bong-Hyun Kim, Nick V....
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...