- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Generation of traces from a simulation model and their analysis is a powerful and common mean to debug simulation models. In this paper, we define a measure of progress for simul...
We present the automatic test pattern generator TIGUAN based on a thread-parallel SAT solver. Due to a tight integration of the SAT engine into the ATPG algorithm and a carefully ...
Alejandro Czutro, Ilia Polian, Matthew D. T. Lewis...
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...