Nonlinear model-based control using second-order Volterra models. - Francis J. Doyle III; Babatunde A. Ogunnaike; Ronald K. Pearson (Autom., 1995)

Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models. - Bryon R. Maner; Francis J. Doyle III; Babatunde A. Ogunnaike; Ronald K. Pearson (Autom., 1996)

Identification of structurally constrained second-order Volterra models. - Ronald K. Pearson; Babatunde A. Ogunnaike; Francis J. Doyle III (IEEE Trans. Signal Process., 1996)

Plant-friendly identification of second-order Volterra models. - Francis J. Doyle III; Robert S. Parker; Ronald K. Pearson; Babatunde A. Ogunnaike (ECC, 1999)

Empirical models that exhibit monotone responses to monotone inputs. - Ronald K. Pearson (ECC, 1999)

Data cleaning for dynamic modeling and control. - Ronald K. Pearson (ECC, 1999)

Nonlinear filters with symmetry constraints. - Ronald K. Pearson (NSIP, 1999)

Some relations between stability and smoothness in discrete-time dynamic models. - Ronald K. Pearson; Bjarne A. Foss (ACC, 2000)

Filter categories preserving desirable signal characteristics. - Ronald K. Pearson (EUSIPCO, 2000)

Homogeneous nonlinear digital filters. - Ronald K. Pearson (EUSIPCO, 2000)

Gray-box models via approximate steady-state matching. - Ronald K. Pearson; Martin Pottmann (ECC, 2001)

A recursive variant of Mallows' filter class. - Ronald K. Pearson (IEEE Trans. Signal Process., 2001)

Systems with associative dynamics. - Ronald K. Pearson; Ülle Kotta; Sven Nomm (Kybernetika, 2002)

Outliers in process modeling and identification. - Ronald K. Pearson (IEEE Trans. Control. Syst. Technol., 2002)

Scale-invariant nonlinear digital filters. - Ronald K. Pearson (IEEE Trans. Signal Process., 2002)

Generalized Sensitivity Analysis: A Framework for Evaluating Data Analysis Results. - Ronald K. Pearson (SDM, 2003)

Detecting Periodicity in Nonideal Datasets. - Ronald K. Pearson; Harri Lähdesmäki; Heikki Huttunen; Olli Yli-Harja (SDM, 2003)

Estimation and inversion of the effects of cell population asynchrony in gene expression time-series. - Harri Lähdesmäki; Heikki Huttunen; Tommi Aho; Marja-Leena Linne; Jari Niemi; Juha Kesseli; Ronald K. Pearson; Olli Yli-Harja (Signal Process., 2003)

Finite set DSP, with applications to DNA sequences. - Ronald K. Pearson; Gregory E. Gonye; Moncef Gabbouj (EUSIPCO, 2004)

Analytical Evaluation of Clustering Results Using Computational Negative Controls. - Ronald K. Pearson; Tom Zylkin; James S. Schwaber; Gregory E. Gonye (SDM, 2004)

Mining imperfect data - dealing with contamination and incomplete records. - Ronald K. Pearson (SIAM, 2005)

Disease progression modeling from historical clinical databases. - Ronald K. Pearson; Robert J. Kingan; Alan Hochberg (KDD, 2005)

Surveying Data for Patchy Structure. - Ronald K. Pearson (SDM, 2005)

Robust detection of periodic time series measured from biological systems. - Miika Ahdesmäki; Harri Lähdesmäki; Ronald K. Pearson; Heikki Huttunen; Olli Yli-Harja (BMC Bioinform., 2005)

Nonlinear empirical modeling techniques. - Ronald K. Pearson (Comput. Chem. Eng., 2006)

The problem of disguised missing data. - Ronald K. Pearson (SIGKDD Explor., 2006)

Influence of the MedDRA® hierarchy on pharmacovigilance data mining results. - Ronald K. Pearson; Manfred Hauben; David I. Goldsmith; A. Lawrence Gould; David Madigan; Donald J. O'Hara; Stephanie J. Reisinger; Alan Hochberg (Int. J. Medical Informatics, 2009)

The class of generalized hampel filters. - Ronald K. Pearson; Yrjö Neuvo; Jaakko Astola; Moncef Gabbouj (EUSIPCO, 2015)

Generalized Hampel Filters. - Ronald K. Pearson; Yrjö Neuvo; Jaakko Astola; Moncef Gabbouj (EURASIP J. Adv. Signal Process., 2016)