We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient’s pre-seiz...
James R. Williamson, Daniel W. Bliss, David W. Bro...
We examine the utility of speech and lexical features for predicting student emotions in computerhuman spoken tutoring dialogues. We first annotate student turns for negative, neu...
Due to increasing design complexity, routing congestion has become a critical problem in VLSI designs. This paper introduces a distributed metric to predict routing congestion for...
Rupesh S. Shelar, Sachin S. Sapatnekar, Prashant S...
We identify that a set of multimedia applications exhibit highly regular read-after-read (RAR) and read-after-write (RAW) memory dependence streams. We exploit this regularity to ...