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Paavo Nieminen
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2020 – today
- 2023
- [j5]Joakim Linja, Joonas Hämäläinen, Paavo Nieminen
, Tommi Kärkkäinen
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper. Neurocomputing 518: 344-359 (2023) - [i1]Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki, Paavo Nieminen, Sami Malola, Hannu Häkkinen, Tommi Kärkkäinen:
Knowledge Discovery from Atomic Structures using Feature Importances. CoRR abs/2303.09453 (2023) - 2021
- [j4]Peter Raatikainen, Jarkko Hautala
Detection of developmental dyslexia with machine learning using eye movement data. Array 12: 100087 (2021) - [c10]Joonas Hämäläinen, Paavo Nieminen
Instance-Based Multi-Label Classification via Multi-Target Distance Regression. ESANN 2021 - [c9]Antti Pihlajamäki, Joakim Linja, Joonas Hämäläinen, Paavo Nieminen
Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. ESANN 2021 - 2020
- [j3]Joakim Linja
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? Mach. Learn. Knowl. Extr. 2(4): 533-557 (2020) - [c8]Ville Isomöttönen, Antti-Jussi Lakanen, Paavo Nieminen
Exploring Creativity Expectation in CS1 Students' View of Programming. FIE 2020: 1-8 - [c7]Ville Tirronen, Vesa Lappalainen
Incorporating teacher-student dialogue into digital course material: Usage patterns and first experiences. FIE 2020: 1-5
2010 – 2019
- 2018
- [c6]Anneli Heimbürger, Ville Isomöttönen, Paavo Nieminen
How do Academics Experience Use of Recorded Audio Feedback in Higher Education? A Thematic Analysis. FIE 2018: 1-5 - [c5]Ari Tuhkala
Semi-automatic literature mapping of participatory design studies 2006-2016. PDC (2) 2018: 6:1-6:5 - 2017
- [j2]Muhammad Zeeshan Asghar
Towards proactive context-aware self-healing for 5G networks. Comput. Networks 128: 5-13 (2017) - 2016
- [c4]Paavo Nieminen, Tommi Kärkkäinen:
Multicriteria optimized MLP for imbalanced learning. ESANN 2016 - 2013
- [j1]Paavo Nieminen
Research literature clustering using diffusion maps. J. Informetrics 7(4): 874-886 (2013) - 2011
- [c3]Paavo Nieminen
Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements. ICANNGA (1) 2011: 240-249 - 2010
- [c2]Paavo Nieminen
Comparison of MLP cost functions to dodge mislabeled training data. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c1]Paavo Nieminen
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping. ICANNGA 2009: 32-41
Coauthor Index
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