J. Lampinen

Most-cited papers

Bayesian approach for neural networks--review and case studies
J. Lampinen, Aki Vehtari
2001Neural Networks426 citations
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Discrete Neural Signatures of Basic Emotions.
Heini Saarimäki, Athanasios Gotsopoulos, I. Jääskeläinen, J. Lampinen +4 more
2016Cerebral Cortex410 citations
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Rao-Blackwellized particle filter for multiple target tracking
Simo Särkkä, Aki Vehtari, J. Lampinen
2007Information Fusion318 citations Open access
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Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
Aki Vehtari, J. Lampinen
2002Neural Computation222 citations
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Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
Matti Lehtomaki, A. Jaakkola, J. Hyyppa, J. Lampinen +4 more
2016IEEE Transactions on Geoscience and Remote Sensing113 citations Open access
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Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking
Simo Särkkä, Aki Vehtari, J. Lampinen
2004105 citations
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Cam shape optimisation by genetic algorithm
J. Lampinen
2003Comput. Aided Des.103 citations
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Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions.
B. Bogert, Taru Numminen-Kontti, B. Gold, M. Sams +4 more
2016Neuropsychologia87 citations Open access
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Bayesian analysis of the neuromagnetic inverse problem with ℓp-norm priors
Toni Auranen, A. Nummenmaa, M. Hämäläinen, I. Jääskeläinen +3 more
2005NeuroImage82 citations
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Time series prediction by Kalman smoother with cross-validated noise density
Simo Särkkä, Aki Vehtari, J. Lampinen
20042004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)75 citations
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Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods
A. Nummenmaa, Toni Auranen, M. Hämäläinen, I. Jääskeläinen +3 more
2007NeuroImage74 citations
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Stimulus-Related Independent Component and Voxel-Wise Analysis of Human Brain Activity during Free Viewing of a Feature Film
J. Lahnakoski, J. Salmi, I. Jääskeläinen, J. Lampinen +3 more
2012PLoS ONE69 citations Open access
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Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison
M. Varsta, J. Heikkonen, J. Lampinen, J. del R. Millán
2001Neural Processing Letters63 citations
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Bayesian MLP neural networks for image analysis
Aki Vehtari, J. Lampinen
2000Pattern Recognition Letters50 citations Open access
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Automatic relevance determination based hierarchical Bayesian MEG inversion in practice
A. Nummenmaa, Toni Auranen, M. Hämäläinen, I. Jääskeläinen +3 more
2007NeuroImage40 citations Open access
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On the generative probability density model in the self-organizing map
T. Kostiainen, J. Lampinen
2002Neurocomputing35 citations
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Advances in Independent Component Analysis and Learning Machines
E. Bingham, Ella Bingham, S. Kaski, Jorma T. Laaksonen +1 more
201532 citations
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Sequential Monte Carlo for Bayesian matching of objects with occlusions
Toni Tamminen, J. Lampinen
2006IEEE Transactions on Pattern Analysis and Machine Intelligence32 citations
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On MCMC sampling in Bayesian MLP neural networks
Aki Vehtari, Simo Särkkä, J. Lampinen
2000Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium26 citations Open access
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State space regularization in the nonstationary inverse problem for diffuse optical tomography
P. Hiltunen, Simo Särkkä, Ilkka Nissilä, Atte Lajunen +1 more
201125 citations
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Automatic fMRI‐guided MEG multidipole localization for visual responses
Toni Auranen, A. Nummenmaa, S. Vanni, Aki Vehtari +3 more
2009Human Brain Mapping25 citations Open access
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Modeling of Subjective Responses to Indoor Air Quality and Thermal Conditions in Office Buildings
T. Kostiainen, I. Welling, M. Lahtinen, K. Salmi +2 more
200824 citations
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Building Spatial Choice Models from Aggregate Data
Tommi Orpana, J. Lampinen
200324 citations Open access
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Advances in Independent Component Analysis and Learning Machines
Ella Bingham, Samuel Kaski, Jorma T. Laaksonen, J. Lampinen
201523 citations
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Posterior parietal cortex activity reflects the significance of others' actions during natural viewing
J. Salmi, E. Glerean, I. Jääskeläinen, J. Lahnakoski +4 more
2014Human Brain Mapping22 citations Open access
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On steerability of Gabor-type filters for feature detection
Ilkka Kalliomäki, J. Lampinen
2007Pattern Recognition Letters20 citations
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Bayesian neural networks for industrial applications
Aki Vehtari, J. Lampinen
1999SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)20 citations
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Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities
Aki Vehtari, J. Lampinen
200219 citations
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Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
J. Lampinen, Aki Vehtari, K. Leinonen
199919 citations
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Probabilistic Methods in Multiple Target Tracking
Simo Särkkä, Toni Tamminen, Aki Vehtari, J. Lampinen
200418 citations
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Application of Bayesian neural network in electrical impedance tomography
J. Lampinen, Aki Vehtari, K. Leinonen
1999IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)18 citations
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Reproducibility of importance extraction methods in neural network based fMRI classification
Athanasios Gotsopoulos, Heini Saarimäki, E. Glerean, I. Jääskeläinen +3 more
2017bioRxiv17 citations Open access
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Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles
Toni Auranen, A. Nummenmaa, M. Hämäläinen, I. Jääskeläinen +3 more
2007Human Brain Mapping17 citations Open access
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Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation
J. Lampinen, T. Kostiainen
2000The European Symposium on Artificial Neural Networks17 citations
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Overtraining and model selection with the self-organizing map
J. Lampinen, T. Kostiainen
1999IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)17 citations
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Improved neuron MOS-transistor structures for integrated neural network circuits
A. Rantala, S. Franssila, K. Kaski, J. Lampinen +2 more
200116 citations
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Probabilistic methods in multiple target tracking - Review and bibliography
Simo Särkkä, Toni Tamminen, Aki Vehtari, J. Lampinen
200414 citations
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Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
M. Varsta, J. Heikkonen, J. Lampinen
2000The European Symposium on Artificial Neural Networks14 citations
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Two-Stage Processing of Sounds Explains Behavioral Performance Variations due to Changes in Stimulus Contrast and Selective Attention: An MEG Study
Jaakko Kauramäki, I. Jääskeläinen, Jarno L. Hänninen, Toni Auranen +3 more
2012PLoS ONE13 citations Open access
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Model selection via predictive explanatory power
A. Vehtari, J. Lampinen
200413 citations
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Expected utility estimation via cross-validation
Aki Vehtari, J. Lampinen
200313 citations
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Shape analysis of concrete aggregates for statistical quality modeling
Ilkka Kalliomäki, Aki Vehtari, J. Lampinen
2005Machine Vision and Applications11 citations
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A Bayesian Occlusion Model for Sequential Object Matching
Toni Tamminen, J. Lampinen
2004British Machine Vision Conference10 citations
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Self-organizing map as a probability density model
T. Kostiainen, J. Lampinen
2001IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)10 citations
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Bayesian object matching based on MCMC sampling and Gabor filters
J. Lampinen, Toni Tamminen, T. Kostiainen, Ilkka Kalliomaeki
2001SPIE Optics East10 citations
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Proceedings of the IEEE-INNS-ENNS International Joing Conference on Neural Networks
'I, July, I, L. Giles +91 more
2000Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium10 citations
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Bayesian techniques for neural networks — Review and case studies
J. Lampinen, Aki Vehtari
2000European Signal Processing Conference10 citations
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Incremental object matching and detection with Bayesian methods and particle filters
M. Toivanen, J. Lampinen
20119 citations
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Building Industrial Applications with Neural Networks
J. Heikkonen, J. Lampinen
19999 citations
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Using Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
J. Lampinen
20138 citations
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