Self organization of a massive document collection T Kohonen, S Kaski, K Lagus, J Salojarvi, J Honkela, V Paatero, ... IEEE transactions on neural networks 11 (3), 574-585, 2000 | 1420 | 2000 |
A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 767 | 2014 |
Data exploration using self-organizing maps S Kaski DSc thesis, University of Technology, 1997 | 667 | 1997 |
Dimensionality reduction by random mapping: Fast similarity computation for clustering S Kaski 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998 | 622 | 1998 |
WEBSOM–self-organizing maps of document collections S Kaski, T Honkela, K Lagus, T Kohonen Neurocomputing 21 (1-3), 101-117, 1998 | 483 | 1998 |
Bibliography of self-organizing map (SOM) papers: 1998–2001 addendum M Oja, S Kaski, T Kohonen Neural computing surveys 3 (1), 1-156, 2003 | 440 | 2003 |
Bibliography of self-organizing map (SOM) papers: 1981–1997 S Kaski, J Kangas, T Kohonen Neural computing surveys 1 (3&4), 1-176, 1998 | 411 | 1998 |
Information retrieval perspective to nonlinear dimensionality reduction for data visualization. J Venna, J Peltonen, K Nybo, H Aidos, S Kaski Journal of Machine Learning Research 11 (2), 2010 | 386 | 2010 |
Self-organizing maps of very large document collections: Justification for the WEBSOM method T Honkela, S Kaski, T Kohonen, K Lagus Classification, Data Analysis, and Data Highways: Proceedings of the 21st …, 1998 | 366 | 1998 |
Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world IAPN Refenes, Y Abu-Mostafa, J Moody, A Weigend Proceedings of 3rd International Conference on Neural Networks in the …, 1996 | 309 | 1996 |
Fundamentals and recent developments in approximate Bayesian computation J Lintusaari, MU Gutmann, R Dutta, S Kaski, J Corander Systematic biology 66 (1), e66-e82, 2017 | 295 | 2017 |
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. K Lagus, T Honkela, S Kaski, T Kohonen KDD 96, 238-243, 1996 | 284 | 1996 |
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 283 | 2019 |
Neighborhood preservation in nonlinear projection methods: An experimental study J Venna, S Kaski International conference on artificial neural networks, 485-491, 2001 | 283 | 2001 |
Local multidimensional scaling J Venna, S Kaski Neural Networks 19 (6-7), 889-899, 2006 | 280 | 2006 |
Comparing self-organizing maps S Kaski, K Lagus International conference on artificial neural networks, 809-814, 1996 | 249 | 1996 |
Mining massive document collections by the WEBSOM method K Lagus, S Kaski, T Kohonen Information Sciences 163 (1-3), 135-156, 2004 | 233 | 2004 |
Analysis and visualization of gene expression data using self-organizing maps J Nikkilä, P Törönen, S Kaski, J Venna, E Castrén, G Wong Neural networks 15 (8-9), 953-966, 2002 | 226* | 2002 |
Self-organized formation of various invariant-feature filters in the adaptive-subspace SOM T Kohonen, S Kaski, H Lappalainen Neural computation 9 (6), 1321-1344, 1997 | 223 | 1997 |
Bayesian Canonical correlation analysis. A Klami, S Virtanen, S Kaski Journal of Machine Learning Research 14 (4), 2013 | 215 | 2013 |