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2023

Kärkkäinen, T., & Hänninen, J. (2023). Additive autoencoder for dimension estimation. Neurocomputing, 551, 126520.

Lämsä, J., Mannonen, J., Tuhkala, A., Heilala, V., Helovuo, A., Tynkkynen, I., ... & Hämäläinen, R. (2023). Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators. Journal of Computer Assisted Learning, 39 (5), 1553-1563.

Liu, S., Chen, T., Chen, X., Chen, X., Xiao, Q., Wu, B., ... & Wang, Z. (2023). More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity. arXiv preprint arXiv:2207.03620.

Pihlajamäki, A., Malola, S., Kärkkäinen, T., & Häkkinen, H. (2023) Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts. The Journal of Physical Chemistry C 2023, 127 (29), 14211-14221.

Zhidkikh, D., Saarela, M., & Kärkkäinen, T. (2023). Measuring self‐regulated learning in a junior high school mathematics classroom: Combining aptitude and event measures in digital learning materials. Journal of Computer Assisted Learning, 39 (6), 1834-1851.

Linja, J., Hämäläinen, J., Nieminen, P., & Kärkkäinen, T. (2023). Feature selection for distance-based regression: An umbrella review and a one-shot wrapper. Neurocomputing, 518, 344-359.

2022

Sikström, P., Valentini, C., Sivunen, A., & Kärkkäinen, T. (2022). How pedagogical agents communicate with students: A two-phase systematic review. Computers & Education, 188, 104564.

Sihvo, M., Hiltunen, L., & Kärkkäinen, T. (2022). How to evaluate first aid skills after training: a systematic review. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 30(1), 1-11.

2021

Saarela, Mirka, and Susanne Jauhiainen. "Comparison of feature importance measures as explanations for classification models." SN Applied Sciences 3 (2021): 1-12.

Niemelä, M., Äyrämö, S., & Kärkkäinen, T. (2021). Toolbox for distance estimation and cluster validation on data with missing values. IEEE Access, 10, 352-367.

Wang, X., Wang, X., Liu, W., Chang, Z., Kärkkäinen, T., & Cong, F. (2021). One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG. Neurocomputing, 459, 212-222.

Jääskelä, P., Heilala, V., Kärkkäinen, T., & Häkkinen, P. (2021). Student agency analytics: Learning analytics as a tool for analysing student agency in higher education. Behaviour & Information Technology, 40(8), 790-808.

2020

Hämäläin, J., Alencar, A. S., Kärkkäinen, T., Mattos, C. L., Júnior, A. H. S., & Gomes, J. P. (2020). Minimal learning machine: Theoretical results and clustering-based reference point selection. The Journal of Machine Learning Research, 21(1), 9655-9683.

2019

Malola, S., Nieminen, P., Pihlajamäki, A., Hämäläinen, J., Kärkkäinen, T., & Häkkinen, H. (2019). A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles. Nature communications, 10(1), 3973.

Kärkkäinen, T. (2019). Extreme minimal learning machine: Ridge regression with distance-based basis. Neurocomputing, 342, 33-48.

Lakanen, A. J., & Kärkkäinen, T. (2019). Identifying pathways to computer science: The long-term impact of short-term game programming outreach interventions. ACM Transactions on Computing Education (TOCE), 19(3), 1-30.