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Publications of Author

1. Harri Raittinen, Kimmo Kaski
   Fractal Based Image Compression with Affine Transformations. [Citation Graph (0, 0)][DBLP]
   Data Compression Conference, 1993, pp:244-253 [Conf]
   
2. Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski
   Recurrent SOM with local linear models in time series prediction. [Citation Graph (0, 0)][DBLP]
   ESANN, 1998, pp:167-172 [Conf]
   
3. Timo Hämäläinen, Pasi Kolinummi, Kimmo Kaski
   Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer. [Citation Graph (0, 0)][DBLP]
   ICANN, 1996, pp:365-370 [Conf]
   
4. Pasi Kolinummi, Timo Hämäläinen, Harri Klapuri, Kimmo Kaski
   Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel Neurocomputer. [Citation Graph (0, 0)][DBLP]
   ICANN, 1996, pp:359-364 [Conf]
   
5. Timo Koskela, Jukka Heikkonen, Kimmo Kaski
   Using Document Features to Optimize Web Cache. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:1211-1216 [Conf]
   
6. Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski
   Neural Network Optimization Tool Based on Predictive MDL Principle for Time Series Prediction. [Citation Graph (0, 0)][DBLP]
   ICTAI, 1993, pp:338-342 [Conf]
   
7. Jarkko Niittylahti, Harri Raittinen, Kimmo Kaski
   Dynamically Configurable Combinatory Logic Array as Boolean Neural Network. [Citation Graph (0, 0)][DBLP]
   ICTAI, 1993, pp:456-457 [Conf]
   
8. Jukka Vanhala, Pekka Pakarinen, Kimmo Kaski
   Paper Web Quality Profile Analysis Tool Based on Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICTAI, 1993, pp:343-347 [Conf]
   
9. Jukka Saarinen, Martti Lindroos, Jouni Tomberg, Kimmo Kaski
   Parallel Coprocessor for Kohonen's Self-Organizing Neural Network. [Citation Graph (0, 0)][DBLP]
   IPPS, 1992, pp:537-542 [Conf]
   
10. Jukka Vanhala, Kimmo Kaski
    Protein Structure Prediction System Based on Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISMB, 1993, pp:402-410 [Conf]
    
11. José del R. Millán, Josep Mouriño, Jukka Heikkonen, Kimmo Kaski, Fabio Babiloni, Maria Grazia Marciani, F. Topani, I. Canale
    Adaptive Brain Interfaces. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:219-227 [Conf]
    
12. Timo Koskela, Jukka Heikkonen, Kimmo Kaski
    Web cache optimization with nonlinear model using object features. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2003, v:43, n:6, pp:805-817 [Journal]
    
13. Timo Hämäläinen, Harri Klapuri, Jukka Saarinen, Kimmo Kaski
    Parallel realizations of Kanerva's sparse distributed memory on a tree-shaped computer. [Citation Graph (0, 0)][DBLP]
    Concurrency - Practice and Experience, 1997, v:9, n:9, pp:877-896 [Journal]
    
14. Jouni Tomberg, Kimmo Kaski
    Some IC Implementations of Artificial Neural Networks Using Synchronous Pulse-Density Modulation Technique. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:1-2, pp:101-114 [Journal]
    
15. Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
    Accelerating training of radial basis function networks with Cascade-Correlation algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1995, v:9, n:2, pp:207-213 [Journal]
    
16. Seppo Kuusisto, Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
    Short Term Electric Load Forecasting Using A Neural Network with Fuzzy Hidden Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1997, v:6, n:1, pp:42-56 [Journal]
    
17. Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski
    Predictive minimum description length criterion for time series modeling with neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1996, v:8, n:3, pp:583-593 [Journal]
    
18. Timo Hämäläinen, Harri Klapuri, Jukka Saarinen, Kimmo Kaski
    Mapping of SOM and LVQ Algorithms on a Tree Shape Parallel Computer System. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1997, v:23, n:3, pp:271-289 [Journal]
    
19. 
    Temporal sequence processing using recurrent SOM. [Citation Graph (, )][DBLP]
    
    
20. 
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in ¹H NMR metabonomic data. [Citation Graph (, )][DBLP]
    
    
21. 
    Small But Slow World: How Network Topology and Burstiness Slow Down Spreading [Citation Graph (, )][DBLP]