Towards a knowledge-based control of a complex industrial process. - Pavel Ettler; Markéta Valecková; Miroslav Kárný; Ivan Puchr (ACC, 2000)

Identification and prediction of multiple short records by dynamic bayesian mixtures. - Pavel Ettler; Miroslav Kárný (ICINCO, 2005)

Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data. - Pavel Ettler; Josef Andrýsek; Václav Smídl; Miroslav Kárný (ICINCO-ICSO, 2008)

Combined approach helping to reduce periodic disturbances in speed measuring. - Pavel Ettler; Ivan Puchr; Jirí Stika (PSYCO, 2010)

Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill. - Adrian E. Raftery; Miroslav Kárný; Pavel Ettler (Technometrics, 2010)

Advanced soft sensor technology to be used for cold rolling mills. - Pavel Ettler; Kamil Dedecius; Dani Juricic; Aleksander Preglej (ETFA, 2011)

Adaptive Continuous Hierarchical Model-based Decision Making - For Process Modelling with Realistic Requirements. - Kamil Dedecius; Pavel Ettler (ICINCO (1), 2011)

Fault Detection based on Gaussian Process Models - An Application to the Rolling Mill. - Ðani Juricic; Pavel Ettler; Jus Kocijan (ICINCO (1), 2011)

Embedded system for fast data acquisition based on cooperation of two operating system platforms. - Ivan Puchr; Pavel Ettler (MECO, 2012)

Overview of Bounded Support Distributions and Methods for Bayesian Treatment of Industrial Data. - Kamil Dedecius; Pavel Ettler (ICINCO (1), 2013)

Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic. - Kamil Dedecius; Pavel Ettler (ICINCO (1), 2014)

Quantification of Information Uncertainty for the Purpose of Condition Monitoring. - Pavel Ettler; Kamil Dedecius (ICINCO (1), 2014)

Realistic Estimation of Model Parameters. - Pavel Ettler (ICINCO (1), 2017)

Specific Data Sampling and Filtering Helps to Detect and Isolate Periodic Disturbances. - Pavel Ettler; Ivan Puchr (MED, 2022)

Sensor Fusion Helps to Improve Strip Speed Measurement in Cold Rolling Mills. - Pavel Ettler (ICM, 2023)