Browsing by Publisher "INSTICC"

Now showing items 1-4 of 4

    • Early Alzheimer’s disease progression detectionusing multi-subnetworks of the brain 

      Rokicki, Jaroslav; Kazuko, Hiyoshi; Vialatte, Francois-Benoit; Ušinskas, Andrius; Cichocki, Andrzej (IJCCI 2012 : 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5-7 October, 2012, 2012)
      Alzheimer’s disease is neurodegenerative disorder believed to affect 24.3 million people worldwide. Pro- posed MRI based disease progression markers have shown ability to perform the classification between the Alzheimer’s ...

    • Implementation of restriction and validation rules 

      Vasilecas, Olegas; Lebedys, Evaldas (2nd International Conference on Health Informatics (HEALTHINF 2009) Oporto, Portugal, January 14-17, 2009, 2009)
      The paper discusses implementation of restriction and validation rules. Restriction rules based and validation rules based data cleaning approaches are discussed. The differences between restriction rules and validation ...

    • Influence of data orthogonality: on the accuracy and stability of financial market predictions 

      Maknickas, Algirdas; Maknickienė, Nijolė (IJCCI 2012 : 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5-7 October, 2012, 2012)
      Input selection is always important for adapting artificial intelligence systems for forecasting. Recurrent neural networks could predict using the historical data of financial markets but the predictions are very unstable. ...

    • Investigation of prediction capabilities using RNN ensembles 

      Maknickienė, Nijolė; Maknickas, Algirdas (IJCCI 2013 : 5th International Joint Conference on Computational Intelligence, 20th to 22nd September, 2013, Vilamoura, Portugal / Institute for Systems and Technologies of Information, Control and Communication, 2013)
      Modern portfolio theory of investment-based financial market forecasting use probability distributions. This investigation used a neural network architecture, which allows to obtain distribution for predictions. Com- parison ...