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 ÄyrämöAssociate professorVerified email at jyu.fi
Ville HeilalaUniversity of JyväskyläVerified email at jyu.fi
Tuomo RossiUniversity of JyväskyläVerified email at jyu.fi
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Ferrante NeriProfessor of Machine Learning and Artificial Intelligence, NICE group, University of SurreyVerified email at surrey.ac.uk
Fengyu CongProfessor, Dalian University of Technology, China; Docent, University of Jyvaskyla, FinlandVerified email at dlut.edu.cn
Päivikki JääskeläSenior researcher, Finnish Institute for Educational Research, University of JyväskyläVerified email at jyu.fi
Ari TuhkalaUniversity of JyväskyläVerified email at jyu.fi
Jussi RaskuTampere UniversityVerified email at tuni.fi
hannu häkkinenprofessor, University of JyvaskylaVerified email at jyu.fi
Ville IsomöttönenSenior Lecturer, Docentship in Computing Education Research (CER)Verified email at jyu.fi
Nysret MusliuFaculty of Informatics, TU Wien (Vienna University of Technology)Verified email at dbai.tuwien.ac.at
Roland GlowinskiDepartment of Mathematics, University of HoustonVerified email at math.uh.edu
Karl KunischProfessor für MathematikVerified email at uni-graz.at
Indrė ŽliobaitėProfessor, University 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	230	2002
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	183	2023
Comparison of internal clustering validation indices for prototype-based clustering J Hämäläinen, S Jauhiainen, T Kärkkäinen Algorithms 10 (3), 105, 2017	166	2017
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	154	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	147	2006
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	100	2021
Augmented Lagrangian active set methods for obstacle problems T Kärkkäinen, K Kunisch, P Tarvainen Journal of optimization theory and applications 119, 499-533, 2003	98	2003
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	97	2003
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	94	2021
Automated software license analysis T Tuunanen, J Koskinen, T Kärkkäinen Automated Software Engineering 16, 455-490, 2009	93	2009
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	62	2007
Robust formulations for training multilayer perceptrons T Kärkkäinen, E Heikkola Neural Computation 16 (4), 837-862, 2004	61	2004
How pedagogical agents communicate with students: A two-phase systematic review P Sikström, C Valentini, A Sivunen, T Kärkkäinen Computers & Education 188, 104564, 2022	60	2022
Detection of developmental dyslexia with machine learning using eye movement data P Raatikainen, J Hautala, O Loberg, T Kärkkäinen, P Leppänen, ... Array 12, 100087, 2021	59	2021
Analysing student performance using sparse data of core bachelor courses M Saarela, T Kärkkäinen Journal of educational data mining 7 (1), 2015	57	2015
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	57	2010
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 (6), 2379-2397, 2018	56	2018
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	56	2007
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	52	2015
Technology Comprehension—Combining computing, design, and societal reflection as a national subject A Tuhkala, ML Wagner, OS Iversen, T Kärkkäinen International Journal of Child-Computer Interaction 20, 54-63, 2019	49	2019

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