Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
In this work we improve top-down min-cut placers in the context of timing closure. Using the concept of boosting factors, we adjust net weights according to net spans, so as to re...
Multi Agent Based Simulation (MABS) has been used mostly in purely social contexts. However, compared to other approaches, e.g., traditional discrete event simulation, object-orien...
Due to increasing clock speeds and shrinking technologies, distributing a single global clock signal throughout a chip is becoming a difficult and challenging proposition. In this...