Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
—We have proposed an auto-memoization processor. This processor automatically and dynamically memoizes both functions and loop iterations, and skips their execution by reusing th...
In a recent paper we introduced a modification of the adaptive beamformer orthogonal rejection test (ABORT) for adaptive detection of signals in unknown noise, by supposing under t...
Francesco Bandiera, Olivier Besson, Danilo Orlando...
: User interfaces have special characteristics that differentiate them from the rest of the software code. Typical software metrics that indicate its complexity and quality may not...
We are often interested to test whether a given cause has a given effect. If we cannot specify the nature of the factors involved, such tests are called model-free studies. There ...