Tommi Kärkkäinen

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Mirka SaarelaUniversity of JyväskyläVerified email at jyu.fi
Joonas HämäläinenFaculty of Information Technology, University of JyväskyläVerified email at jyu.fi
Sami ÄyrämöAdjunct professor (PhD)Verified email at jyu.fi
Tuomo RossiUniversity of JyväskyläVerified email at jyu.fi
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Ville HeilalaUniversity of JyväskyläVerified email at jyu.fi
Ferrante NeriProfessor of Machine Learning and Artificial Intelligence, NICE group, University of SurreyVerified email at surrey.ac.uk
Jussi RaskuTampere UniversityVerified email at tuni.fi
Päivikki JääskeläSenior researcher, Finnish Institute for Educational Research, University of JyväskyläVerified email at jyu.fi
hannu häkkinenprofessor, University of JyvaskylaVerified email at jyu.fi
Ari TuhkalaUniversity of JyväskyläVerified email at jyu.fi
Ville IsomöttönenSenior Lecturer, Docentship in Computing Education Research (CER)Verified email at jyu.fi
Fengyu CongProfessor, Dalian University of Technology, China; Docent, University of Jyvaskyla, FinlandVerified email at dlut.edu.cn
Roland GlowinskiDepartment of Mathematics, University of HoustonVerified email at math.uh.edu
Nysret MusliuFaculty of Informatics, TU Wien (Vienna University of Technology)Verified email at dbai.tuwien.ac.at
Karl KunischProfessor für MathematikVerified email at uni-graz.at
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
João Paulo Pordeus GomesFederal University of CearaVerified email at dc.ufc.br
Ole Sejer IversenProfessor Interaction Design, Aarhus UniversityVerified email at cc.au.dk
César Lincoln Cavalcante MattosFederal University of Ceará (UFC)Verified email at dc.ufc.br

Tommi Kärkkäinen

Professor of Mathematical Information Technology, University of Jyvaskyla

Verified email at jyu.fi

machine learning data mining learning analytics educational technology


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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	225	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	150	2008
Comparison of internal clustering validation indices for prototype-based clustering J Hämäläinen, S Jauhiainen, T Kärkkäinen Algorithms 10 (3), 105, 2017	144	2017
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	142	2006
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, 1020-1027, 2003	93	2003
Augmented Lagrangian active set methods for obstacle problems T Kärkkäinen, K Kunisch, P Tarvainen Journal of optimization theory and applications 119, 499-533, 2003	89	2003
Automated software license analysis T Tuunanen, J Koskinen, T Kärkkäinen Automated Software Engineering 16, 455-490, 2009	82	2009
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	69	2021
More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, T Kärkkäinen, ... ICLR 2023 preprint arXiv:2207.03620, 2023	67	2023
Robust formulations for training multilayer perceptrons T Kärkkäinen, E Heikkola Neural Computation 16 (4), 837-862, 2004	60	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	58	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	56	2010
A memetic differential evolution in filter design for defect detection in paper production V Tirronen, F Neri, T Karkkainen, K Majava, T Rossi Applications of Evolutionary Computing: EvoWorkshops 2007: EvoCoMnet, EvoFIN …, 2007	54	2007
Analysing student performance using sparse data of core bachelor courses M Saarela, T Kärkkäinen Journal of educational data mining 7 (1), 2015	51	2015
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG X Wang, X Wang, W Liu, Z Chang, T Kärkkäinen, F Cong Neurocomputing 459, 212-222, 2021	50	2021
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	49	2015
Denoising of Smooth Images Using L¹-Fitting T Kärkkäinen, K Kunisch, K Majava Computing 74, 353-376, 2005	49	2005
Using Slack for computer-mediated communication to support higher education students’ peer interactions during Master’s thesis seminar A Tuhkala, T Kärkkäinen Education and Information Technologies 23, 2379-2397, 2018	48	2018
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles S Malola, P Nieminen, A Pihlajamäki, J Hämäläinen, T Kärkkäinen, ... Nature communications 10 (1), 3973, 2019	42	2019
Optimization of conducting structures by using the homogenization method J Haslinger, A Hillebrand, T Kärkkäinen, M Miettinen Structural and multidisciplinary optimization 24, 125-140, 2002	41	2002

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