Markku Siermala

Publication Activity (10 Years)

Years Active: 2000-2015
Publications (10 Years): 2

Top Topics

Text Classification

Training Samples

Top Venues

Artif. Intell. Rev.

Int. J. Data Min. Model. Manag.

Integr. Comput. Aided Eng.

Appl. Artif. Intell.

Publications

Henry Joutsijoki, Markku Siermala, Martti Juhola
Directed acyclic graph support vector machines in classification of benthic macroinvertebrate samples. Artif. Intell. Rev. 44 (2) (2015)
Xingan Li, Henry Joutsijoki, Jorma Laurikkala, Markku Siermala, Martti Juhola
Homicide and Its Social Context: Analysis Using the Self-Organizing Map. Appl. Artif. Intell. 29 (4) (2015)
Jyri Saarikoski, Jorma Laurikkala, Kalervo Järvelin, Markku Siermala, Martti Juhola
Dimensionality reduction in text classification using scatter method. Int. J. Data Min. Model. Manag. 6 (1) (2014)
Martti Juhola, Markku Siermala
A scatter method for data and variable importance evaluation. Integr. Comput. Aided Eng. 19 (2) (2012)
Markku Siermala, Martti Juhola, Erna Kentala
Neural network classification of otoneurological data and its visualization. Comput. Biol. Medicine 38 (8) (2008)
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. Inf. Sci. 177 (9) (2007)
Markku Siermala, Martti Juhola
Techniques for biased data distributions and variable classification with neural networks applied to otoneurological data. Comput. Methods Programs Biomed. 81 (2) (2006)
Mansour Taghavi Azar Sharabiani, Markku Siermala, Tommi O. Lehtinen, Mauno Vihinen
Dynamic covariation between gene expression and proteome characteristics. BMC Bioinform. 6 (2005)
Markku Siermala, Martti Juhola, Mauno Vihinen
On Postprocessing of Neural Network Prediction of Polyproline Type II Secondary Structures: Network Spectrum, Response Analysis, and Scattering. Neural Comput. Appl. 11 (3-4) (2003)
Markku Siermala, Martti Juhola
Behaviour of protein secondary structure types in the sequence space of a certain length. Intell. Data Anal. 6 (5) (2002)
Markku Siermala, Martti Juhola, Mauno Vihinen
Binary Vector of Real Value Coding for Secondary Structure Prediction? A Case Study of Polyproline Type II Prediction. ISMDA (2001)
Markku Siermala, Martti Juhola, Mauno Vihinen
On preprocessing of protein sequences for neural network prediction of polyproline type II secondary structures. Comput. Biol. Medicine 31 (5) (2001)
Markku Siermala
Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method. AIME (2001)
Erkki Mäkinen, Markku Siermala
Restricted universe data structures. ACM SIGCSE Bull. 32 (2) (2000)