| Som pak: The self-organizing map program package T Kohonen, J Hynninen, J Kangas, J Laaksonen Technical report 31, 1996, 1996 | 701 | 1996 |
| Variants of self-organizing maps J Kangas, T Kohonen, J Laaksonen IEEE transactions on neural networks 1 (1), 93-99, 1990 | 489 | 1990 |
| LVQ PAK: The learning vector quantization program package T Kohonen, J Hynninen, J Kangas, J Laaksonen, K Torkkola Technical report 30, 10625-10640, 1996 | 345 | 1996 |
| PicSOM–content-based image retrieval with self-organizing maps J Laaksonen, M Koskela, S Laakso, E Oja Pattern recognition letters 21 (13-14), 1199-1207, 2000 | 312 | 2000 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005 | 298 | 2005 |
| PicSOM-self-organizing image retrieval with MPEG-7 content descriptors J Laaksonen, M Koskela, E Oja IEEE Transactions on Neural Networks 13 (4), 841-853, 2002 | 262 | 2002 |
| LVQ PAK: A program package for the correct application of Learning Vector Quantization algorithms T Kohonen, J Kangas, J Laaksonen, K Torkkola Proc. IJCNN 92, 725-730, 1992 | 207 | 1992 |
| Statistical shape features for content-based image retrieval S Brandt, J Laaksonen, E Oja Journal of Mathematical Imaging and Vision 17 (2), 187-198, 2002 | 179 | 2002 |
| Neural and statistical classifiers-taxonomy and two case studies L Holmstrom, P Koistinen, J Laaksonen, E Oja IEEE Transactions on Neural Networks 8 (1), 5-17, 1997 | 179 | 1997 |
| Self-organising maps as a relevance feedback technique in content-based image retrieval J Laaksonen, M Koskela, S Laakso, E Oja Pattern Analysis & Applications 4 (2), 140-152, 2001 | 141 | 2001 |
| Using diversity of errors for selecting members of a committee classifier M Aksela, J Laaksonen Pattern Recognition 39 (4), 608-623, 2006 | 127 | 2006 |
| Picsom: Self-organizing maps for content-based image retrieval J Laaksonen, M Koskela, E Oja IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 119 | 1999 |
| Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification RM Anwer, FS Khan, J van de Weijer, M Molinier, J Laaksonen ISPRS journal of photogrammetry and remote sensing 138, 74-85, 2018 | 116 | 2018 |
| Classification with learning k-nearest neighbors J Laaksonen, E Oja Proceedings of International Conference on Neural Networks (ICNN'96) 3, 1480 …, 1996 | 97 | 1996 |
| An augmented reality interface to contextual information A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ... Virtual reality 15 (2-3), 161-173, 2011 | 88 | 2011 |
| Frame-and segment-level features and candidate pool evaluation for video caption generation R Shetty, J Laaksonen Proceedings of the 24th ACM international conference on Multimedia, 1073-1076, 2016 | 72 | 2016 |
| SOM_PAK, The self-organizing map program package version 3.1 T Kohonen, J Hynninen, J Kangas, J Laaksonen Laboratory of Computer and Information Science, Helsinki University of …, 1995 | 67 | 1995 |
| Subspace classifiers in recognition of handwritten digits J Laaksonen Helsinki University of Technology, 1997 | 64 | 1997 |
| Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps M Molinier, J Laaksonen, T Hame IEEE Transactions on Geoscience and Remote Sensing 45 (4), 861-874, 2007 | 63 | 2007 |
| Measuring concept similarities in multimedia ontologies: Analysis and evaluations M Koskela, AF Smeaton, J Laaksonen IEEE Transactions on Multimedia 9 (5), 912-922, 2007 | 59 | 2007 |
