Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routing ALgorithm (NEURAL). NEURAL has been designed taking into account the learning...
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu...
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In this paper, we present an automatic face recognitio...
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...