Distance Matrix Based Clustering of the Self-Organizing Map. - Juha Vesanto; Mika Sulkava (ICANN, 2002)

Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. - Mika Sulkava; Pasi Rautio; Jaakko Hollmén (ICANN (2), 2005)

Modeling the effects of varying data quality on trend detection in environmental monitoring. - Mika Sulkava; Sebastiaan Luyssaert; Pasi Rautio; Ivan A. Janssens; Jaakko Hollmén (Ecol. Informatics, 2007)

Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. - Mikko Korpela; Harri Mäkinen; Mika Sulkava; Pekka Nöjd; Jaakko Hollmén (Discovery Science, 2008)

Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. - Mikko Korpela; Harri Mäkinen; Pekka Nöjd; Jaakko Hollmén; Mika Sulkava (Neurocomputing, 2010)

Comparative Analysis of Power Consumption in University Buildings Using envSOM. - Serafín Alonso; Manuel Domínguez-González; Miguel A. Prada; Mika Sulkava; Jaakko Hollmén (IDA, 2011)

Analyzing Parliamentary Elections Based on Voting Advice Application Data. - Jaakko Talonen; Mika Sulkava (IDA, 2011)

Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. - Mark J. Brewer; Mika Sulkava; Harri Mäkinen; Mikko Korpela; Pekka Nöjd; Jaakko Hollmén (IDEAL, 2011)

EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization. - Serafín Alonso; Mika Sulkava; Miguel A. Prada; Manuel Domínguez-González; Jaakko Hollmén (WSOM, 2011)

Analysis of Farm Profitability and the Weighted Upscaling System Using the Self-Organizing Map. - Mika Sulkava; Maria Yli-Heikkilä; Arto Latukka (WSOM, 2012)

The Finnish Car Rejection Reasons Shown in an Interactive SOM Visualization Tool. - Jaakko Talonen; Mika Sulkava; Miki Sirola (WSOM, 2012)

Predicting the profitability of agricultural enterprises in dairy farming. - Maria Yli-Heikkilä; Jukka Tauriainen; Mika Sulkava (ESANN, 2015)

Data fusion of pre-election gallups and polls for improved support estimates. - Jaakko Talonen; Miki Sirola; Mika Sulkava (IDAACS, 2015)

Clustering of the self-organizing map reveals profiles of farm profitability and upscaling weights. - Mika Sulkava; Anne-Mari Sepponen; Maria Yli-Heikkilä; Arto Latukka (Neurocomputing, 2015)

Improving Support estimates by fusion of pre-Election Data. - Miki Sirola; Jaakko Talonen; Mika Sulkava (Int. J. Comput., 2016)

Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. - Vladimir Kuzmanovski; Mika Sulkava; Taru Palosuo; Jaakko Hollmén (DS, 2019)

Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network. - Maria Yli-Heikkilä; Samantha Wittke; Markku Luotamo; Eetu Puttonen; Mika Sulkava; Petri Pellikka; Janne Heiskanen; Arto Klami (Remote. Sens., 2022)