| Using additive noise in back-propagation training L Holmstrom, P Koistinen IEEE transactions on neural networks 3 (1), 24-38, 1992 | 521 | 1992 |
| A quantitative Holocene climatic record from diatoms in northern Fennoscandia A Korhola, J Weckström, L Holmström, P Erästö Quaternary research 54 (2), 284-294, 2000 | 266 | 2000 |
| Pollen-based climate reconstruction techniques for late Quaternary studies M Chevalier, BAS Davis, O Heiri, H Seppä, BM Chase, K Gajewski, ... Earth-Science Reviews 210, 103384, 2020 | 234 | 2020 |
| 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 |
| Temperature patterns over the past eight centuries in Northern Fennoscandia inferred from sedimentary diatoms J Weckström, A Korhola, P Erästö, L Holmström Quaternary Research 66 (1), 78-86, 2006 | 89 | 2006 |
| Bayesian multiscale smoothing for making inferences about features in scatterplots P Erästö, L Holmström Journal of Computational and Graphical Statistics 14 (3), 569-589, 2005 | 77 | 2005 |
| Kernel regression and backpropagation training with noise P Koistinen, L Holmstrom Neural Networks, 1991. 1991 IEEE International Joint Conference on, 367-372 …, 1991 | 74 | 1991 |
| The course of positional cranial deformation from 3 to 12 months of age and associated risk factors: a follow-up with 3D imaging H Aarnivala, V Vuollo, V Harila, T Heikkinen, P Pirttiniemi, L Holmström, ... European journal of pediatrics 175, 1893-1903, 2016 | 65 | 2016 |
| A new multivariate technique for top quark search L Holmström, SR Sain, HE Miettinen Computer physics communications 88 (2-3), 195-210, 1995 | 61 | 1995 |
| Comparing different calibration methods (WA/WA-PLS regression and Bayesian modelling) and different-sized calibration sets in pollen-based quantitative climate reconstruction JS Salonen, L Ilvonen, H Seppä, L Holmström, RJ Telford, ... The Holocene 22 (4), 413-424, 2012 | 56 | 2012 |
| Piecewise quadric blending of implicitly defined surfaces L Holmström Computer Aided Geometric Design 4 (3), 171-189, 1987 | 55 | 1987 |
| Multiscale variation in drought controlled historical forest fire activity in the boreal forests of eastern Fennoscandia T Aakala, L Pasanen, S Helama, V Vakkari, I Drobyshev, H Seppä, ... Ecological Monographs 88 (1), 74-91, 2018 | 45 | 2018 |
| Accuracy of measurements used to quantify cranial asymmetry in deformational plagiocephaly H Aarnivala, V Vuollo, T Heikkinen, V Harila, L Holmström, P Pirttiniemi, ... Journal of Cranio-Maxillofacial Surgery 45 (8), 1349-1356, 2017 | 42 | 2017 |
| Integrating fire-scar, charcoal and fungal spore data to study fire events in the boreal forest of northern Europe N Stivrins, T Aakala, L Ilvonen, L Pasanen, T Kuuluvainen, H Vasander, ... The Holocene 29 (9), 1480-1490, 2019 | 40 | 2019 |
| Asymptotic bounds for the expected L1 error of a multivariate kernel density estimator L Holmstrom, J Klemela Journal of multivariate analysis 42 (2), 245-266, 1992 | 38 | 1992 |
| Effects of solar forcing and North Atlantic oscillation on the climate of continental Scandinavia during the Holocene AEK Ojala, I Launonen, L Holmström, M Tiljander Quaternary Science Reviews 112, 153-171, 2015 | 34 | 2015 |
| The self-organizing reduced kernel density estimator L Holmstrom, A Hamalainen Neural Networks, 1993., IEEE International Conference on, 417-421 vol. 1, 1993 | 33 | 1993 |
| The structure of boreal old-growth forests changes at multiple spatial scales over decades N Kulha, L Pasanen, L Holmström, L De Grandpré, S Gauthier, ... Landscape Ecology 35, 843-858, 2020 | 31 | 2020 |
| Process error detection using self-organizing feature maps JT Alander, M Frisk, L Holmström, A Hämäläinen, J Tuominen Artificial Neural Networks, 1229-1232, 1991 | 31 | 1991 |
| Scale space multiresolution analysis of random signals L Holmström, L Pasanen, R Furrer, SR Sain Computational Statistics & Data Analysis 55 (10), 2840-2855, 2011 | 30 | 2011 |
