| Discrete neural signatures of basic emotions H Saarimäki, A Gotsopoulos, IP Jääskeläinen, J Lampinen, P Vuilleumier, ... Cerebral cortex 26 (6), 2563-2573, 2016 | 502 | 2016 |
| Bayesian approach for neural networks—review and case studies J Lampinen, A Vehtari Neural networks 14 (3), 257-274, 2001 | 463 | 2001 |
| Rao-Blackwellized particle filter for multiple target tracking S Särkkä, A Vehtari, J Lampinen Information Fusion 8 (1), 2-15, 2007 | 388 | 2007 |
| Clustering properties of hierarchical self-organizing maps J Lampinen, E Oja Journal of Mathematical Imaging and vision 2, 261-272, 1992 | 354 | 1992 |
| Bayesian model assessment and comparison using cross-validation predictive densities A Vehtari, J Lampinen Neural computation 14 (10), 2439-2468, 2002 | 236 | 2002 |
| Cam shape optimisation by genetic algorithm J Lampinen Computer-Aided Design 35 (8), 727-737, 2003 | 169 | 2003 |
| Distortion tolerant pattern recognition based on self-organizing feature extraction J Lampinen, E Oja IEEE Transactions on Neural Networks 6 (3), 539-547, 1995 | 137 | 1995 |
| Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment M Lehtomaki, A Jaakkola, J Hyyppa, J Lampinen, H Kaartinen, A Kukko, ... Geoscience and Remote Sensing, IEEE Transactions on, 1-14, 2015 | 135 | 2015 |
| Rao-Blackwellized Monte Carlo data association for multiple target tracking S Särkkä, A Vehtari, J Lampinen Proceedings of the seventh international conference on information fusion 1 …, 2004 | 111 | 2004 |
| Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors T Auranen, A Nummenmaa, MS Hämäläinen, IP Jääskeläinen, ... NeuroImage 26 (3), 870-884, 2005 | 99 | 2005 |
| Time series prediction by Kalman smoother with cross-validated noise density S Sarkka, A Vehtari, J Lampinen 2004 IEEE international joint conference on neural networks (IEEE cat. No …, 2004 | 97* | 2004 |
| Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods A Nummenmaa, T Auranen, MS Hämäläinen, IP Jääskeläinen, ... NeuroImage 35 (2), 669-685, 2007 | 83 | 2007 |
| Temporal kohonen map and the recurrent self-organizing map: Analytical and experimental comparison M Varsta, J Heikkonen, J Lampinen, JDR Millán Neural processing letters 13, 237-251, 2001 | 76 | 2001 |
| Stimulus-related independent component and voxel-wise analysis of human brain activity during free viewing of a feature film JM Lahnakoski, J Salmi, IP Jääskeläinen, J Lampinen, E Glerean, P Tikka, ... PloS one 7 (4), e35215, 2012 | 75 | 2012 |
| Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions B Bogert, T Numminen-Kontti, B Gold, M Sams, J Numminen, I Burunat, ... Neuropsychologia 89, 393-402, 2016 | 68 | 2016 |
| Self-organizing maps for spatial and temporal AR models J Lampinen, E Oja Proc. 6 SCIA, Scand. Conf. on Image Analysis, 120-127, 1989 | 60 | 1989 |
| Self-organizing feature extraction in recognition of wood surface defects and color images J Lampinen, S Smolander International Journal of Pattern Recognition and Artificial Intelligence 10 …, 1996 | 55 | 1996 |
| Automatic relevance determination based hierarchical Bayesian MEG inversion in practice A Nummenmaa, T Auranen, MS Hämäläinen, IP Jääskeläinen, M Sams, ... Neuroimage 37 (3), 876-889, 2007 | 51 | 2007 |
| Bayesian MLP neural networks for image analysis A Vehtari, J Lampinen Pattern Recognition Letters 21 (13-14), 1183-1191, 2000 | 51 | 2000 |
| Fast self-organization by the probing algorithm Lampinen, Oja International 1989 Joint Conference on Neural Networks, 503-507 vol. 2, 1989 | 46 | 1989 |
