This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
We present a context- and path-sensitive algorithm for detecting memory leaks in programs with explicit memory management. Our leak detection algorithm is based on an underlying e...
In this paper, we show how previous work on escape analysis can be adapted and extended to yield a static analysis that is efficient yet effective for reducing the number of inter...
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...