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Publications of Author

1. Markku Siermala
   Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method. [Citation Graph (0, 0)][DBLP]
   AIME, 2001, pp:117-120 [Conf]
   
2. Markku Siermala, Martti Juhola, Mauno Vihinen
   Binary Vector of Real Value Coding for Secondary Structure Prediction? A Case Study of Polyproline Type II Prediction. [Citation Graph (0, 0)][DBLP]
   ISMDA, 2001, pp:264-269 [Conf]
   
3. Mansour Taghavi Azar Sharabiani, Markku Siermala, Tommi O. Lehtinen, Mauno Vihinen
   Dynamic covariation between gene expression and proteome characteristics. [Citation Graph (0, 0)][DBLP]
   BMC Bioinformatics, 2005, v:6, n:, pp:215- [Journal]
   
4. Markku Siermala, Martti Juhola
   Behaviour of protein secondary structure types in the sequence space of a certain length. [Citation Graph (0, 0)][DBLP]
   Intell. Data Anal., 2002, v:6, n:5, pp:411-427 [Journal]
   
5. Markku Siermala, Martti Juhola, Mauno Vihinen
   On Postprocessing of Neural Network Prediction of Polyproline Type II Secondary Structures: Network Spectrum, Response Analysis, and Scattering. [Citation Graph (0, 0)][DBLP]
   Neural Computing and Applications, 2003, v:11, n:3-4, pp:238-243 [Journal]
   
6. Markku Siermala, Martti Juhola
   Techniques for biased data distributions and variable classification with neural networks applied to otoneurological data. [Citation Graph (0, 0)][DBLP]
   Computer Methods and Programs in Biomedicine, 2006, v:81, n:2, pp:128-136 [Journal]
   
7. Markku Siermala, Martti Juhola, Jorma Laurikkala, Kati Iltanen, Erna Kentala, Ilmari Pyykkö
   Evaluation and classification of otoneurological data with new data analysis methods based on machine learning. [Citation Graph (0, 0)][DBLP]
   Inf. Sci., 2007, v:177, n:9, pp:1963-1976 [Journal]