J. Laurikkala

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Corpus-based CLIR in retrieval of highly relevant documents

Martti Juhola, Jorma Laurikkala, Tuomas Talvensaari, 2006 .

Home Table of Contents Titles & Subject Index Authors Index Crime vs. demographic factors revisited: Application of data mining methods

H. Joutsijoki, Xingan Li, J. Laurikkala, 2015 .

Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods

Martti Juhola, Ilmari Pyykkö, Jorma Laurikkala, 1999, AIMDM.

Discovering Diagnostic Rules from a Neurotologic Database with Genetic Algorithms

Martti Juhola, Ilmari Pyykkö, Jorma Laurikkala, 1999, The Annals of otology, rhinology, and laryngology.

GDP growth vs. criminal phenomena: data mining of Japan 1926–2013

H. Joutsijoki, M. Juhola, Xingan Li, 2017, AI & SOCIETY.

Analysis of the imputed female urinary incontinence data for the evaluation of expert system parameters

Martti Juhola, Jorma Laurikkala, Seppo Lammi, 2001, Comput. Biol. Medicine.

On computation of calcium cycling anomalies in cardiomyocytes data

Jyrki Rasku, Martti Juhola, Harri Siirtola, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Improving Identification of Difficult Small Classes by Balancing Class Distribution

Jorma Laurikkala, J. Laurikkala, 2001, AIME.

Informal identification of outliers in medical data

Martti Juhola, Jorma Laurikkala, Erna Kentala, 2000 .

Experiences of otoneurological expert system for vertigo

M Juhola, K Viikki, Y Auramo, 2001, Scandinavian audiology. Supplementum.

Otoneurological expert system for vertigo.

M Juhola, I Pyykkö, Y Auramo, 1999, Acta oto-laryngologica.

A genetic-based machine learning system to discover the diagnostic rules for female urinary incontinence.

M Juhola, J Laurikkala, M. Juhola, 1998, Computer methods and programs in biomedicine.

Comparison of Genetic Algorithms and Other Classification Methods in the Diagnosis of Female Urinary Incontinence

M Juhola, K Viikki, J Laurikkala, 1999, Methods of Information in Medicine.

A software tool for studying the size and shape of human cardiomyocytes

Jyrki Rasku, Martti Juhola, Katriina Aalto-Setälä, 2016, Biomed. Signal Process. Control..

On principal component analysis, cosine and Euclidean measures in information retrieval

Martti Juhola, Jorma Laurikkala, Tuomo Korenius, 2007, Inf. Sci..

On metricity of two heterogeneous measures in the presence of missing values

Martti Juhola, Jorma Laurikkala, M. Juhola, 2007, Artificial Intelligence Review.

Stemming and lemmatization in the clustering of finnish text documents

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2004, CIKM '04.

Crime vs. demographic factors revisited: Application of data mining methods

Martti Juhola, Jorma Laurikkala, Henry Joutsijoki, 2016, Webology.

On the neural network classification of medical data and an endeavour to balance non-uniform data sets with artificial data extension

Martti Juhola, Jorma Laurikkala, Lassi Autio, 2007, Comput. Biol. Medicine.

On Classification Capability of Neural Networks: A Case Study with Otoneurological Data

Martti Juhola, Ilmari Pyykkö, Jorma Laurikkala, 2001, MedInfo.

Focused web crawling in the acquisition of comparable corpora

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2008, Information Retrieval.

A novel machine learning program applied to discover otological diagnoses

Martti Juhola, M. Juhola, I. Pyykkö, 2001, Scandinavian audiology. Supplementum.

Instance-based data reduction for improved identification of difficult small classes

Jorma Laurikkala, J. Laurikkala, 2002, Intell. Data Anal..

A study of the use of self-organising maps in information retrieval

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2009, J. Documentation.

Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes

Jyrki Rasku, Martti Juhola, Harri Siirtola, 2015, Comput. Biol. Medicine.

GDP growth vs. criminal phenomena: data mining of Japan 1926–2013

Martti Juhola, Jorma Laurikkala, Henry Joutsijoki, 2018, AI & SOCIETY.

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2005, Information Retrieval.

Self-Organising Maps in Document Classification: A Comparison with Six Machine Learning Methods

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2011, ICANNGA.

On Document Classification with Self-Organising Maps

Martti Juhola, Kalervo Järvelin, Jorma Laurikkala, 2009, ICANNGA.

Development of crime in England and Wales 1898–2001: Data mining using self-organising map

Martti Juhola, Jorma Laurikkala, Henry Joutsijoki, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Classi(cid:142) cation of Patients on the Basis of Otoneurological Data by Using Kohonen Networks

M. Juhola, E. Kentala, J. Laurikkala, 2022 .