Guided ultrasonic waves in long bones: modelling, experiment and in vivo application PHF Nicholson, P Moilanen, T Kärkkäinen, J Timonen, S Cheng Physiological measurement 23 (4), 755, 2002 | 215 | 2002 |
An enhanced memetic differential evolution in filter design for defect detection in paper production V Tirronen, F Neri, T Kärkkäinen, K Majava, T Rossi Evolutionary Computation 16 (4), 529-555, 2008 | 147 | 2008 |
Introduction to partitioning-based clustering methods with a robust example S Äyrämö, T Kärkkäinen Reports of the Department of Mathematical Information Technology. Series C …, 2006 | 123 | 2006 |
Comparison of internal clustering validation indices for prototype-based clustering J Hämäläinen, S Jauhiainen, T Kärkkäinen Algorithms 10 (3), 105, 2017 | 102 | 2017 |
Assessment of the tibia using ultrasonic guided waves in pubertal girls P Moilanen, PHF Nicholson, T Kärkkäinen, Q Wang, J Timonen, S Cheng Osteoporosis international 14 (12), 1020-1027, 2003 | 92 | 2003 |
Augmented Lagrangian active set methods for obstacle problems T Kärkkäinen, K Kunisch, P Tarvainen Journal of optimization theory and applications 119 (3), 499-533, 2003 | 75 | 2003 |
Automated software license analysis T Tuunanen, J Koskinen, T Kärkkäinen Automated Software Engineering 16 (3), 455-490, 2009 | 69 | 2009 |
Robust formulations for training multilayer perceptrons T Kärkkäinen, E Heikkola Neural Computation 16 (4), 837-862, 2004 | 58 | 2004 |
Fitness diversity based adaptation in multimeme algorithms: A comparative study F Neri, V Tirronen, T Karkkainen, T Rossi 2007 IEEE Congress on Evolutionary Computation, 2374-2381, 2007 | 57 | 2007 |
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift M Pechenizkiy, J Bakker, I Žliobaitė, A Ivannikov, T Kärkkäinen ACM SIGKDD Explorations Newsletter 11 (2), 109-116, 2010 | 54 | 2010 |
A memetic differential evolution in filter design for defect detection in paper production V Tirronen, F Neri, T Karkkainen, K Majava, T Rossi Workshops on Applications of Evolutionary Computation, 320-329, 2007 | 53 | 2007 |
Analysing student performance using sparse data of core bachelor courses M Saarela, T Kärkkäinen Journal of educational data mining 7 (1), 2015 | 49 | 2015 |
Denoising of smooth images using L1-fitting T Kärkkäinen, K Kunisch, K Majava Computing 74 (4), 353-376, 2005 | 46 | 2005 |
A New Augmented Lagrangian Approach for -mean Curvature Image Denoising M Myllykoski, R Glowinski, T Karkkainen, T Rossi SIAM Journal on Imaging Sciences 8 (1), 95-125, 2015 | 41 | 2015 |
Optimization of conducting structures by using the homogenization method J Haslinger, A Hillebrand, T Kärkkäinen, M Miettinen Structural and multidisciplinary optimization 24 (2), 125-140, 2002 | 40 | 2002 |
Expert-based versus citation-based ranking of scholarly and scientific publication channels M Saarela, T Kärkkäinen, T Lahtonen, T Rossi Journal of Informetrics 10 (3), 693-718, 2016 | 34 | 2016 |
Independent component analysis on the mismatch negativity in an uninterrupted sound paradigm I Kalyakin, N González, T Kärkkäinen, H Lyytinen Journal of neuroscience methods 174 (2), 301-312, 2008 | 33 | 2008 |
Student agency analytics: learning analytics as a tool for analysing student agency in higher education P Jääskelä, V Heilala, T Kärkkäinen, P Häkkinen Behaviour & Information Technology 40 (8), 790-808, 2021 | 32 | 2021 |
The value of a real customer in a capstone project V Isomöttönen, T Kärkkäinen 2008 21st Conference on Software Engineering Education and Training, 85-92, 2008 | 32 | 2008 |
On the convergence of operator-splitting methods R Glowinski, T Kärkkäinen, K Majava Numerical Methods for Scientific Computing, Variational Problems and …, 2003 | 31 | 2003 |