Tommi Kärkkäinen

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

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Tommi Kärkkäinen

Professor of Mathematical Information Technology, University of Jyvaskyla

Dirección de correo verificada de jyu.fi

machine learning data mining learning analytics educational technology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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
Comparison of internal clustering validation indices for prototype-based clustering J Hämäläinen, S Jauhiainen, T Kärkkäinen Algorithms 10 (3), 105, 2017	151	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	151	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	146	2006
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	111	2023
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	94	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	91	2003
Automated software license analysis T Tuunanen, J Koskinen, T Kärkkäinen Automated Software Engineering 16, 455-490, 2009	86	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	82	2021
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	65	2021
Robust formulations for training multilayer perceptrons T Kärkkäinen, E Heikkola Neural Computation 16 (4), 837-862, 2004	62	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	59	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	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	54	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	54	2007
Analysing student performance using sparse data of core bachelor courses M Saarela, T Kärkkäinen Journal of educational data mining 7 (1), 2015	53	2015
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	50	2015
Denoising of Smooth Images Using L¹-Fitting T Kärkkäinen, K Kunisch, K Majava Computing 74, 353-376, 2005	49	2005
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	45	2019
Monte Carlo Simulations of Au₃₈(SCH₃)₂₄ Nanocluster Using Distance-Based Machine Learning Methods A Pihlajamaki, J Hamalainen, J Linja, P Nieminen, S Malola, ... The Journal of Physical Chemistry A 124 (23), 4827-4836, 2020	42	2020

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