Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
We present a prototype 3D model search engine called CIL3D (Computational Intelligence Laboratory 3D). CIL3D provides query-by-content 3D model search, by employing a state-of-the...
Panagiotis Papadakis, Ioannis Pratikakis, Stavros ...
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...