A fast local PPF restoration filter. - Erkki Oja; Jouko Lampinen (ICASSP, 1986)

Fast Computation of Kohonen Self-Organization. - Jouko Lampinen; Erkki Oja (NATO Neurocomputing, 1989)

Clustering properties of hierarchical self-organizing maps. - Jouko Lampinen; Erkki Oja (J. Math. Imaging Vis., 1992)

Multilayer perceptron training with inaccurate derivative information. - Jouko Lampinen; Arto Selonen (ICNN, 1995)

Distortion tolerant pattern recognition based on self-organizing feature extraction. - Jouko Lampinen; Erkki Oja (IEEE Trans. Neural Networks, 1995)

Self-Organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images. - Jouko Lampinen; Seppo Smolander (Int. J. Pattern Recognit. Artif. Intell., 1996)

Experiments on Regularizing MLP Models with Background Knowledge. - Arto Selonen; Jouko Lampinen (ICANN, 1997)

Overtraining and model selection with the self-organizing map. - Jouko Lampinen; Timo Kostiainen (IJCNN, 1999)

Selection of training samples for learning with hints. - Jouko Lampinen; Paula Litkey; Harri Hakkarainen (IJCNN, 1999)

Application of Bayesian neural network in electrical impedance tomography. - Jouko Lampinen; Aki Vehtari; Kimmo Leinonen (IJCNN, 1999)

Bayesian neural networks with correlating residuals. - Aki Vehtari; Jouko Lampinen (IJCNN, 1999)

Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation. - Jouko Lampinen; Timo Kostiainen (ESANN, 2000)

Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. - Markus Varsta; Jukka Heikkonen; Jouko Lampinen (ESANN, 2000)

Bayesian techniques for neural networks - Review and case studies. - Jouko Lampinen; Aki Vehtari (EUSIPCO, 2000)

Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography. - Jani Lahtinen; Tomas Martinsen; Jouko Lampinen (IJCNN (2), 2000)

On MCMC Sampling in Bayesian MLP Neural Networks. - Aki Vehtari; Simo Särkkä; Jouko Lampinen (IJCNN (1), 2000)

Bayesian MLP neural networks for image analysis. - Aki Vehtari; Jouko Lampinen (Pattern Recognit. Lett., 2000)

Modeling of audiovisual speech perception in noise. - Tobias S. Andersen; Kaisa Tiippana; Jouko Lampinen; Mikko Sams (AVSP, 2001)

Bayesian approach for neural networks–review and case studies. - Jouko Lampinen; Aki Vehtari (Neural Networks, 2001)

Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison. - Markus Varsta; Jukka Heikkonen; Jouko Lampinen; José del R. Millán (Neural Process. Lett., 2001)

On the generative probability density model in the self-organizing map. - Timo Kostiainen; Jouko Lampinen (Neurocomputing, 2002)

Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities. - Aki Vehtari; Jouko Lampinen (Neural Comput., 2002)

Modeling of Pose Effects in Oriented Filter Responses for Head Pose Estimation. - Ilkka Kalliomäki; Jouko Lampinen (SCIA, 2003)

Learning an Object Model for Feature Matching in Clutter. - Toni Tamminen; Jouko Lampinen (SCIA, 2003)

Cam shape optimisation by genetic algorithm. - Jouko Lampinen (Comput. Aided Des., 2003)

Reversible jump MCMC for two-state multivariate Poisson mixtures. - Jani Lahtinen; Jouko Lampinen (Kybernetika, 2003)

A Bayesian Occlusion Model for Sequential Object Matching. - Toni Tamminen; Jouko Lampinen (BMVC, 2004)

Efficient proposal distributions for MCMC image segmentation. - Timo Kostiainen; Jouko Lampinen (ICIP, 2004)

Time series prediction by Kalman smoother with cross-validated noise density. - Simo Särkkä; Aki Vehtari; Jouko Lampinen (IJCNN, 2004)

Approximate Steerability of Gabor Filters for Feature Detection. - Ilkka Kalliomäki; Jouko Lampinen (SCIA, 2005)

Joint Modeling of Facial Expression and Shape from Video. - Toni Tamminen; Jari Kätsyri; Michael Frydrych; Jouko Lampinen (SCIA, 2005)

Shape analysis of concrete aggregates for statistical quality modeling. - Ilkka Kalliomäki; Aki Vehtari; Jouko Lampinen (Mach. Vis. Appl., 2005)

Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors. - Toni Auranen; Aapo Nummenmaa; Matti S. Hämäläinen; Iiro P. Jääskeläinen; Jouko Lampinen; Aki Vehtari; Mikko Sams (NeuroImage, 2005)

Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions. - Toni Tamminen; Jouko Lampinen (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

CATS benchmark time series prediction by Kalman smoother with cross-validated noise density. - Simo Särkkä; Aki Vehtari; Jouko Lampinen (Neurocomputing, 2007)

Rao-Blackwellized particle filter for multiple target tracking. - Simo Särkkä; Aki Vehtari; Jouko Lampinen (Inf. Fusion, 2007)

Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods. - Aapo Nummenmaa; Toni Auranen; Matti S. Hämäläinen; Iiro P. Jääskeläinen; Jouko Lampinen; Mikko Sams; Aki Vehtari (NeuroImage, 2007)

Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. - Aapo Nummenmaa; Toni Auranen; Matti S. Hämäläinen; Iiro P. Jääskeläinen; Mikko Sams; Aki Vehtari; Jouko Lampinen (NeuroImage, 2007)

On steerability of Gabor-type filters for feature detection. - Ilkka Kalliomäki; Jouko Lampinen (Pattern Recognit. Lett., 2007)

Incremental Bayesian learning of feature points from natural images. - Miika Toivanen; Jouko Lampinen (CVPR Workshops, 2009)

Incremental Object Matching with Bayesian Methods and Particle Filters. - Miika Toivanen; Jouko Lampinen (DICTA, 2009)

Probabilistic View on Self-organizing Maps and Dimension Reduction. - Jouko Lampinen (IJCCI, 2009)

Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment. - Matti Lehtomäki; Anttoni Jaakkola; Juha Hyyppä; Jouko Lampinen; Harri Kaartinen; Antero Kukko; Eetu Puttonen; Hannu Hyyppä (IEEE Trans. Geosci. Remote. Sens., 2016)

Reproducibility of importance extraction methods in neural network based fMRI classification. - Athanasios Gotsopoulos; Heini Saarimäki; Enrico Glerean; Iiro P. Jääskeläinen; Mikko Sams; Lauri Nummenmaa; Jouko Lampinen (NeuroImage, 2018)