Using Conceptual Decision Model in a Case Study. - Miki Sirola (KES, 2003)

Conceptual Decision Model. - Miki Sirola (Int. J. Comput., 2003)

Using Self-organizing Map in a Computerized Decision Support System. - Miki Sirola; Golan Lampi; Jukka Parviainen (ICONIP, 2004)

Decision Concepts. - Miki Sirola (Int. J. Comput., 2004)

Som based Decision Support in Failure Management. - Miki Sirola; Golan Lampi; Jukka Parviainen (Int. J. Comput., 2005)

Process State and Progress Visualization Using Self-Organizing Map. - Risto M. Hakala; Timo Similä; Miki Sirola; Jukka Parviainen (IDEAL, 2006)

Leakage Detection by Adaptive Process Modeling. - Jaakko Talonen; Miki Sirola; Jukka Parviainen (DMIN, 2008)

Feature selection on process fault detection and visualization. - Tuomas Alhonnoro; Miki Sirola (ESANN, 2008)

Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant. - Jaakko Talonen; Miki Sirola (DMIN, 2009)

SOM based methods in early fault detection of nuclear industry. - Miki Sirola; Jaakko Talonen; Golan Lampi (ESANN, 2009)

Modelling Power Output at Nuclear Power Plant by Neural Networks. - Jaakko Talonen; Miki Sirola; Eimontas Augilius (ICANN (1), 2010)

Modelling Hypothetical Wage Equation by Neural Networks. - Jaakko Talonen; Miki Sirola (ICANN (2), 2011)

New visualization techniques and their assessment. - Miki Sirola; Jaakko Talonen (IDAACS (2), 2011)

Self-Organizing Map in Process Visualization. - Miki Sirola; Jaakko Talonen (KES (2), 2011)

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

Combining Neural Methods and Knowledge-Based Methods in Accident Management. - Miki Sirola; Jaakko Talonen (Adv. Artif. Neural Syst., 2012)

Self-Organizing Map based Visualization Techniques and their Assessment. - Miki Sirola; Jaakko Talonen (Int. J. Comput., 2012)

Perspectives in science. - Miki Sirola (IDAACS, 2013)

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

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

Detecting aging of process sensors with noise signal measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (IDAACS, 2017)

Data-Analysis Methods in Detecting, Visualizing and Predicting Nuclear Power Plant Component Ageing Phenomena. - Miki Sirola; John Einar Hulsund (IDAACS, 2019)

Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (Int. J. Comput., 2019)

State Discovery and Prediction from Multivariate Sensor Data. - Olli-Pekka Rinta-Koski; Miki Sirola; Le Ngu Nguyen; Jaakko Hollmén (AALTD@ECML/PKDD, 2021)

Multilevel Flow Model of an Espresso Machine. - Miki Sirola; Harald P.-J. Thunem (IDAACS, 2021)

Machine-Learning Methods in Prognosis of Ageing Phenomena in Nuclear Power Plant Components. - Miki Sirola; John Einar Hulsund (Int. J. Comput., 2021)

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. - Miki Sirola; Olli-Pekka Rinta-Koski; Le Ngu Nguyen; Jaakko Hollmén (SMARTCOMP, 2022)

Principal Component Analysis Visualization and State Discovery with Soil Data. - Miki Sirola; Markku Koskinen; Tatu Polvinen; Mari Pihlatie (IDAACS, 2023)

Tracing State Structure for Ecological Processes in Soil Including Greenhouse Gas Exchange with Lower Atmosphere. - Miki Sirola; Markku Koskinen; Tatu Polvinen; Mari Pihlatie (Sensors, 2024)