Jorma Laurikkala

According to our database1, Jorma Laurikkala authored at least 38 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2018
GDP growth vs. criminal phenomena: data mining of Japan 1926-2013.
AI Soc., 2018

2017
Development of crime in England and Wales 1898-2001: Data mining using self-organising map.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
A software tool for studying the size and shape of human cardiomyocytes.
Biomed. Signal Process. Control., 2016

2015
Crime vs. demographic factors revisited: Application of data mining methods.
Webology, 2015

On the influence of training data quality on text document classification using machine learning methods.
Int. J. Knowl. Eng. Data Min., 2015

Biometric verification with eye movements: results from a long-term recording series.
IET Biom., 2015

Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes.
Comput. Biol. Medicine, 2015

Homicide and Its Social Context: Analysis Using the Self-Organizing Map.
Appl. Artif. Intell., 2015

2014
Dimensionality reduction in text classification using scatter method.
Int. J. Data Min. Model. Manag., 2014

Biometric verification of a subject with eye movements, with special reference to temporal variability in saccades between a subject's measurements.
Int. J. Biom., 2014

On computation of calcium cycling anomalies in cardiomyocytes data.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Classification of iPSC colony images using hierarchical strategies with support vector machines.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Missing values: how many can they be to preserve classification reliability?
Artif. Intell. Rev., 2013

2011
Self-Organising Maps in Document Classification: A Comparison with Six Machine Learning Methods.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2009
A study of the use of self-organising maps in information retrieval.
J. Documentation, 2009

On Document Classification with Self-Organising Maps.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Focused web crawling in the acquisition of comparable corpora.
Inf. Retr., 2008

2007
Creating and exploiting a comparable corpus in cross-language information retrieval.
ACM Trans. Inf. Syst., 2007

Corpus-based cross-language information retrieval in retrieval of highly relevant documents.
J. Assoc. Inf. Sci. Technol., 2007

Evaluation and classification of otoneurological data with new data analysis methods based on machine learning.
Inf. Sci., 2007

On principal component analysis, cosine and Euclidean measures in information retrieval.
Inf. Sci., 2007

On the neural network classification of medical data and an endeavour to balance non-uniform data sets with artificial data extension.
Comput. Biol. Medicine, 2007

On metricity of two heterogeneous measures in the presence of missing values.
Artif. Intell. Rev., 2007

2006
A study on automatic creation of a comparable document collection in cross-language information retrieval.
J. Documentation, 2006

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments.
Inf. Retr., 2006

2004
A Comparison of Different Heterogeneous Proximity Functions and Euclidean Distance.
Proceedings of the MEDINFO 2004, 2004

Stemming and lemmatization in the clustering of finnish text documents.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2002
Instance-based data reduction for improved identification of difficult small classes.
Intell. Data Anal., 2002

2001
Knowledge Discovery for Female Urinary Incontinence Expert System.
PhD thesis, 2001

Analysis of the imputed female urinary incontinence data for the evaluation of expert system parameters.
Comput. Biol. Medicine, 2001

Hierarchical Clustering of Fuzzy Data on Female Urinary Incontinence.
Proceedings of the MEDINFO 2001, 2001

On Classification Capability of Neural Networks: A Case Study with Otoneurological Data.
Proceedings of the MEDINFO 2001, 2001

Hierarchical Clustering of Female Urinary Incontinence - Data Having Noise and Outliers.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Improving Identification of Difficult Small Classes by Balancing Class Distribution.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Usefulness of imputation for the analysis of incomplete otoneurologic data.
Int. J. Medical Informatics, 2000

1999
Treatment of Missing Values with Imputation for the Analysis of Otologic Data.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998
Population Size and Quality in Genetics-Based Rule Learning from Medical Data.
Proceedings of the MEDINFO '98, 1998


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