Publications on ICA-related methods for climate data analysis

Our publications

• A. Ilin, H. Valpola and E. Oja. (2006) Exploratory Analysis of Climate Data Using Source Separation Methods.
  Neural Networks, Vol. 19, No. 2, pp. 155-167, March 2006.
  
  
• A. Ilin, H. Valpola and E. Oja. (2007) Finding Interesting Climate Phenomena by Exploratory Statistical Techniques.
  In Proc. of the Fifth Conference on Artificial Intelligence Applications to Environmental Science, 5AI, as part of the 87th Annual Meeting of the American Meteorological Society, San Antonio, TX, USA, January 2007. Best student presentation.
  
  
• A. Ilin, H. Valpola and E. Oja. (2006) Extraction of Components with Structured Variance.
  In Proc. of the IEEE World Congress on Computational Intelligence, WCCI 2006, pp. 10528-10535, Vancouver, BC, Canada, July 2006.
  
  
• A. Ilin and H. Valpola. (2005) Frequency-Based Separation of Climate Signals.
  In Proc. of the 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, pp. 519-526, Porto, Portugal, October 2005.
  The original publication is available at http://www.springerlink.com/
  
  
• A. Ilin, H. Valpola and E. Oja. (2005) Semiblind Source Separation of Climate Data Detects El Niño as the Component with the Highest Interannual Variability.
  In Proc. of the Int. Joint Conf. on Neural Networks, IJCNN 2005, pp. 1722-1727, Montréal, Québec, Canada, August 2005.
  
  

Some papers related to methodology of rotation techniques

• A. Hyvärinen and E. Oja. (2000) Independent Component Analysis: Algorithms and Applications. Neural Networks, 13(4-5):411-430, 2000.
  
  
• J. Särelä and H. Valpola. (2005) Denoising source separation. Journal of Machine Learning Research, 6:233-272, 2005.
  
  
• A. Ilin. (2006) Independent Dynamics Subspace Analysis.
  In Proc. of the 14th European Symposium on Artificial Neural Networks, ESANN 2006, pp. 345-350, Bruges, Belgium, April 2006.