A classifier based on the maximal fuzzy similarity in the generalized Lukasiewicz-structure P Luukka, K Saastamoinen, V Kononen 10th IEEE International Conference on Fuzzy Systems.(Cat. No. 01CH37297) 1 …, 2001 | 74 | 2001 |
Medical data classification using logical similarity based measures K Saastamoinen, J Ketola 2006 IEEE Conference on Cybernetics and Intelligent Systems, 1-5, 2006 | 28 | 2006 |
A classifier based on the fuzzy similarity in the Lukasiewicz structure with different metrics K Saastamoinen, V Kononen, P Luukka 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 22 | 2002 |
Defining athlete's anaerobic and aerobic thresholds by using similarity measures and differential evolution K Saastamoinen, J Ketola, E Turunen 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat …, 2004 | 14 | 2004 |
Testing continuous t-norm called lukasiewicz algebra with different means in classification K Saastamoinen, P Luukka The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ'03. 2 …, 2003 | 11 | 2003 |
Usage of simulators to boost marine corps learning K Saastamoinen, A Rissanen, R Linnervuo Procedia Computer Science 159, 1011-1018, 2019 | 10 | 2019 |
Usefulness of flight simulator as a part of military pilots training–case study: Grob G 115E K Saastamoinen, K Maunula Procedia Computer Science 192, 1670-1676, 2021 | 8 | 2021 |
On General Class of Parameterized 3π− Uninorm Based Comparison K Saastamoinen, J Sampo Wseas Transactions on Mathematics 3 (3), 482-486, 2004 | 8 | 2004 |
Understanding physical phenomena through simulation exercises K Saastamoinen, A Rissanen Journal of Physics: Conference Series 1286 (1), 012058, 2019 | 7 | 2019 |
Short study of unmanned cargo multicopters with simulation K Saastamoinen, T Taipale Procedia Computer Science 176, 3217-3224, 2020 | 6 | 2020 |
Many valued algebraic structures as measures of comparison K Saastamoinen Lappeenranta University of Technology, 2008 | 6 | 2008 |
Classification in the Łukasiewicz algebra with different means K Saastamoinen, P Luukka Proceedings of the FUZZ-IEEE 2003 Conference, St. Louis, USA, 2003 | 6 | 2003 |
New Classifier Based on Maximal Fuzzy Similarity V Könönen, P Luukka, K Saastamoinen Paper sent for review to Fuzzy Sets and Systems, 0 | 6 | |
On the Use of Generalized Mean with T-norms and T-conorms, proceedings of the IEEE 2004 Conference on Cybernetic and Intelligent Systems K Saastamoinen Singapore, 0 | 5 | |
Visual seabed classification using k-means clustering, CIELAB colors and Gabor-filters K Saastamoinen, S Penttinen Procedia Computer Science, 2021 | 4 | 2021 |
On classification of linguistic data—case study: post-operative K Saastamoinen Intelligent Decision Technologies 2016: Proceedings of the 8th KES …, 2016 | 4 | 2016 |
Redundancy detection and removal tool for transparent mamdani systems A Riid, K Saastamoinen, E Rüstern Intelligent Systems: From Theory to Practice, 397-415, 2010 | 4 | 2010 |
Using Generalized Combination Measure from Dombi and Yager type of T-norms and T-conorms in Classification K Saastamoinen, J Ketola Proceedings of the ECTI-CON 2005 conference, 2005 | 4 | 2005 |
Semantic study of the use of parameterized s implications and equivalences in comparison K Saastamoinen IEEE Conference on Cybernetics and Intelligent Systems, 2004. 1, 574-577, 2004 | 4 | 2004 |
On the Use of Generalized Mean with T-norms and T-conorms K Saastamoinen IEEE Conference on Cybernetics and Intelligent Systems, 2004. 1, 569-573, 2004 | 4 | 2004 |