| Random projection in dimensionality reduction: applications to image and text data E Bingham, H Mannila Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 1840 | 2001 |
| A fast fixed-point algorithm for independent component analysis of complex valued signals E Bingham, A Hyvärinen International journal of neural systems 10 (01), 1-8, 2000 | 1087 | 2000 |
| Reinforcement learning in neurofuzzy traffic signal control E Bingham European Journal of Operational Research 131 (2), 232-241, 2001 | 268 | 2001 |
| Higher origination and extinction rates in larger mammals LH Liow, M Fortelius, E Bingham, K Lintulaakso, H Mannila, L Flynn, ... Proceedings of the National Academy of Sciences 105 (16), 6097-6102, 2008 | 165 | 2008 |
| Topic identification in dynamical text by complexity pursuit E Bingham, A Kabán, M Girolami Neural Processing Letters 17, 69-83, 2003 | 64 | 2003 |
| Segmentation and dimensionality reduction E Bingham, A Gionis, N Haiminen, H Hiisilä, H Mannila, E Terzi Proceedings of the 2006 SIAM International Conference on Data Mining, 372-383, 2006 | 62 | 2006 |
| ICA of complex valued signals: a fast and robust deflationary algorithm E Bingham, A Hyvarinen Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 53 | 2000 |
| ICA and SOM in text document analysis E Bingham, J Kuusisto, K Lagus Proceedings of the 25th annual international ACM SIGIR conference on …, 2002 | 49 | 2002 |
| Advances in independent component analysis with applications to data mining E Bingham Helsinki University of Technology, 2003 | 44 | 2003 |
| A simple algorithm for topic identification in 0–1 data JK Seppänen, E Bingham, H Mannila European Conference on Principles of Data Mining and Knowledge Discovery …, 2003 | 40 | 2003 |
| Neurofuzzy traffic signal control E Bingham | 33 | 1998 |
| The aspect Bernoulli model: multiple causes of presences and absences E Bingham, A Kabán, M Fortelius Pattern Analysis and Applications 12, 55-78, 2009 | 32 | 2009 |
| Factorisation and denoising of 0–1 data: a variational approach A Kabán, E Bingham Neurocomputing 71 (10-12), 2291-2308, 2008 | 32 | 2008 |
| Advances in independent component analysis and learning machines E Bingham, S Kaski, J Laaksonen, J Lampinen Academic Press, 2015 | 28 | 2015 |
| Learning to read between the lines: The aspect bernoulli model A Kaban, E Bingham, T Hirsimäki Proceedings of the 2004 SIAM international conference on data mining, 462-466, 2004 | 28 | 2004 |
| Topic identification in dynamical text by extracting minimum complexity time components E Bingham Proc. ICA2001, 546-551, 2001 | 25 | 2001 |
| Connection between multilayer perceptrons and regression using independent component analysis A Hyvärinen, E Bingham Neurocomputing 50, 211-222, 2003 | 23 | 2003 |
| Dependencies between transcription factor binding sites: Comparison between ICA, NMF, PLSA and frequent sets H Hiisila, E Bingham Fourth IEEE International Conference on Data Mining (ICDM'04), 114-121, 2004 | 20 | 2004 |
| Independent component analysis and blind source separation E Oja, J Karhunen, H Valpola, J Särelä, M Inki, A Honkela, A Ilin, K Raju, ... Helsinki Univ. Technol., Espoo, Finland, Tech. Rep, 2003 | 20 | 2003 |
| Enhancing the stability and efficiency of spectral ordering with partial supervision and feature selection D Mavroeidis, E Bingham Knowledge and information systems 23, 243-265, 2010 | 18 | 2010 |
Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
