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On modelling cognitive styles of users in adaptive interactive systems using artificial neural networks efi papatheocharous1 efi.papatheocharous
(2012)
User modelling in interactive Web systems is an essential quality to optimally filter, personalise and adapt their content and functionality to serve the intrinsic needs of individual users. The mechanism for obtaining the ...
Analysis of fluctuation-induced firing in the presence of inhibition
(IEEE, 2000)
This paper examines the computational role of inhibition as it moves towards balancing concurrent excitation using the biologically-inspired Temporal Noisy-Leaky Integrator (TNLI) neuron model. The TNLI incorporates ...
Testing the predictability of the Cyprus Stock Exchange: The case of an emerging market
(IEEE, 2000)
A systematic investigation of the effect of different neural network architecture alternatives for predicting the future course of stock prices in the Cyprus Stock Exchange (CSE) market is conducted. This market exhibited ...
Neural Network Models in EMG Diagnosis
(1995)
In the past years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add to these techniques the capability of automated medical diagnosis so that all ...
Hybrid neural network electromyographic system: Incorporating the WISARD net
(IEEE, 1994)
Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks trained with the backpropagation, the Kohonen's self-organizing feature ...
Artificial neural networks for modelling the starting-up of a solar steam-generator
(1998)
An experimental solar steam generator, consisting of a parabolic trough collector, a high-pressure steam circuit, and a suitable flash vessel has been constructed and tested in order to establish the thermodynamic performance ...
Application of abductive ILP to learning metabolic network inhibition from temporal data
(2006)
In this paper we use a logic-based representation and a combination of Abduction and Induction to model inhibition in metabolic networks. In general, the integration of abduction and induction is required when the following ...
Embracing cognitive factors and Fuzzy Logic in adaptive interactive systems
(2013)
The increased demand of services on the Web to satisfy the diverse characteristics of users have resulted in a plethora of applications that aim to provide personalized services based on the heterogeneous needs and preferences ...
Genetics-based machine learning for the assessment of certain neuromuscular disorders
(1996)
Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Kohonen's ...
Wavelet analysis of motor unit action potentials
(IEEE, 1996)
In this study the usefulness of the wavelet transforms (WT) Daubechies with 4 and 20 coefficients, Chui, and Battle-Lemarie in analyzing MUAPs recorded from normal subjects and subjects suffering with motor neuron disease ...