Mikko Kolehmainen
Mikko Kolehmainen
Professor of environmental informatics and modelling, University of Eastern Finland
Verified email at uef.fi
Title
Cited by
Cited by
Year
Analysis of gene expression data using self‐organizing maps
P Törönen, M Kolehmainen, G Wong, E Castrén
FEBS letters 451 (2), 142-146, 1999
7421999
Methods for imputation of missing values in air quality data sets
H Junninen, H Niska, K Tuppurainen, J Ruuskanen, M Kolehmainen
Atmospheric Environment 38 (18), 2895-2907, 2004
5282004
Neural networks and periodic components used in air quality forecasting
M Kolehmainen, H Martikainen, J Ruuskanen
Atmospheric Environment 35 (5), 815-825, 2001
3722001
Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki
J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ...
Atmospheric Environment 37 (32), 4539-4550, 2003
3562003
Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines
P Martiskainen, M Järvinen, JP Skön, J Tiirikainen, M Kolehmainen, ...
Applied animal behaviour science 119 (1-2), 32-38, 2009
3552009
Evolving the neural network model for forecasting air pollution time series
H Niska, T Hiltunen, A Karppinen, J Ruuskanen, M Kolehmainen
Engineering Applications of Artificial Intelligence 17 (2), 159-167, 2004
2602004
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2. 5 concentrations using artificial neural networks, in Thessaloniki and …
D Voukantsis, K Karatzas, J Kukkonen, T Räsänen, A Karppinen, ...
Science of the Total Environment 409 (7), 1266-1276, 2011
2322011
Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data
T Räsänen, D Voukantsis, H Niska, K Karatzas, M Kolehmainen
Applied Energy 87 (11), 3538-3545, 2010
2052010
A rigorous inter-comparison of ground-level ozone predictions
U Schlink, S Dorling, E Pelikan, G Nunnari, G Cawley, H Junninen, ...
Atmospheric Environment 37 (23), 3237-3253, 2003
1602003
Feature-based clustering for electricity use time series data
T Räsänen, M Kolehmainen
International conference on adaptive and natural computing algorithms, 401-412, 2009
872009
Reducing energy consumption by using self-organizing maps to create more personalized electricity use information
T Räsänen, J Ruuskanen, M Kolehmainen
Applied Energy 85 (9), 830-840, 2008
872008
Forecasting air quality parameters using hybrid neural network modelling
M Kolehmainen, H Martikainen, T Hiltunen, J Ruuskanen
Environmental Monitoring and Assessment 65 (1), 277-286, 2000
782000
Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption
J Saarenpää, M Kolehmainen, H Niska
Applied Energy 107, 456-464, 2013
672013
Neural networks for the prediction of species-specific plot volumes using airborne laser scanning and aerial photographs
H Niska, JP Skon, P Packalen, T Tokola, M Maltamo, M Kolehmainen
IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1076-1085, 2009
582009
Financial innovation: Credit default hybrid model for SME lending
K Li, J Niskanen, M Kolehmainen, M Niskanen
Expert Systems with Applications 61, 343-355, 2016
542016
Evaluation of an integrated modelling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne …
H Niska, M Rantamäki, T Hiltunen, A Karppinen, J Kukkonen, ...
Atmospheric Environment 39 (35), 6524-6536, 2005
512005
Evaluating online data of water quality changes in a pilot drinking water distribution system with multivariate data exploration methods
SM Mustonen, S Tissari, L Huikko, M Kolehmainen, MJ Lehtola, ...
Water Research 42 (10-11), 2421-2430, 2008
492008
Intelligent analysis of energy consumption in school buildings
M Raatikainen, JP Skön, K Leiviskä, M Kolehmainen
Applied Energy 165, 416-429, 2016
472016
Gene expression responses of paper birch (Betula papyrifera) to elevated CO2 and O3 during leaf maturation and senescence
S Kontunen-Soppela, J Parviainen, H Ruhanen, M Brosche, M Keinänen, ...
Environmental pollution 158 (4), 959-968, 2010
452010
Data exploration with self-organizing maps in environmental informatics and bioinformatics
MT Kolehmainen
Helsinki University of Technology, 2004
442004
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