Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
— This paper presents an original method to tune a neuromimetic IC based on neuron conductance-based models (Hodgkin-Huxley formalism). This method is well known in electrophysio...
Abstract. Computer assisted procedures play a key role in the improvement of surgical operations. The current techniques in simulation potentially lead to more accuracy, more safet...
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...
Real defects (e.g. stuck-at or bridging faults) in the VLSI circuits cause intermediate voltages and can not be modeled as ideal shorts. In this paper we first show that the trad...