| Using additive noise in back-propagation training L Holmstrom, P Koistinen Neural Networks, IEEE Transactions on 3 (1), 24-38, 1992 | 513 | 1992 |
| Statistical inversion for medical x-ray tomography with few radiographs: I. General theory S Siltanen, V Kolehmainen, S Järvenpää, JP Kaipio, P Koistinen, ... Physics in medicine and biology 48 (10), 1437, 2003 | 220 | 2003 |
| Neural and statistical classifiers-taxonomy and two case studies L Holmstrom, P Koistinen, J Laaksonen, E Oja Neural Networks, IEEE Transactions on 8 (1), 5-17, 1997 | 193 | 1997 |
| Statistical inversion for medical x-ray tomography with few radiographs: II. Application to dental radiology V Kolehmainen, S Siltanen, S Järvenpää, JP Kaipio, P Koistinen, ... Physics in Medicine and Biology 48 (10), 1465, 2003 | 141 | 2003 |
| Kernel regression and backpropagation training with noise. P Koistinen, L Holmstrom | 73 | 1992 |
| Kernel regression and backpropagation training with noise P Koistinen, L Holmstrom Neural Networks, 1991. 1991 IEEE International Joint Conference on, 367-372, 1991 | 73 | 1991 |
| Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters B Mathew, AM Bauer, P Koistinen, TC Reetz, J Léon, MJ Sillanpää Heredity 109 (4), 235-245, 2012 | 38 | 2012 |
| Comparison of neural and statistical classifiers--theory and practice L Holmström, P Koistinen, J Laaksonen, E Oja Research Reports A13, Rolf Nevanlinna Institute, 1996 | 27 | 1996 |
| Viewing solid models by bintree conversion P Koistinen, M Tamminen, H Samet Proc Eurographics 85 conf. North-Holland, 147-157, 1985 | 11 | 1985 |
| Smoothing methodology for predicting regional averages in multi-source forest inventory P Koistinen, L Holmström, E Tomppo Remote Sensing of Environment 112 (3), 862-871, 2008 | 9 | 2008 |
| Neural network and statistical perspectives of classification L Holmstrom, P Koistinen, J Laaksonen, E Oja Pattern Recognition, 1996., Proceedings of the 13th International Conference …, 1996 | 8 | 1996 |
| Electromagnetic scattering model for forest remote sensing LM Zurk, P Koistinen, J Sarvas, L Holmström Rolf Nevanlinna Inst., Helsinki, Finland, Research Rep. A 38, 2001 | 6 | 2001 |
| Asymptotic theory for regularization: One-dimensional linear case P Koistinen Advances in Neural Information Processing Systems, 294-300, 1998 | 6 | 1998 |
| Classification of unaveraged evoked cortical magnetic fields L Holmström, P Koistinen, RJ Ilmoniemi Rolf Nevanlinna Inst., University of Helsinki, 1989 | 3 | 1989 |
| Monte Carlo Methods, with an emphasis on Bayesian computation Summer 2010 P Koistinen | 2 | 2010 |
| Using smoothing to reconstruct the Holocene temperature in Lapland L Holmström, P Erästö, P Koistinen, J Weckström, A Korhola Computing Science and Statistics 32, 425-437, 2000 | 2 | 2000 |
| Convergence of minimization estimators trained under additive noise P Koistinen Rolf Nevanlinna Institute, 1995 | 1 | 1995 |
| Unsupervised formation of feature detectors using residual inputs P Koistinen ICANN’93, 219-223, 1993 | 1 | 1993 |
| Unsupervised formation of feature detectors through residual data clustering P Koistinen Finnish Artificial Intelligence Society, Helsinki, Finland, 1993 | 1* | 1993 |
| A Framework for the Design of Feature Detectors by Self-organization P Koistinen, L Holmstr | 1 | 1993 |
