koneoppiminen
http://www.yso.fi/onto/yso/p21846
Liittyvät henkilöt
Liittyvät julkaisut ja muut tuotokset
- Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion (2020) Annala, Leevi; et al.; A1; OA
- Convolutional neural networks and stochastic modelling in hyperspectral data analysis (2020) Annala, Leevi; G5; OA; 978-951-39-8453-3
- Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics (2020) Heilala, Ville; et al.; A4; OA; 9781728189611
- Dance to your own drum : identification of musical genre and individual dancer from motion capture using machine learning (2020) Carlson, Emily; et al.; A1; OA
- Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity (2020) Girka, Anastasiia; et al.; A1; OA
- Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? (2020) Linja, Joakim; et al.; A1; OA
- Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures (2020) Gandhi, Rohan; et al.; A4; OA; 978-3-030-59277-6
- Emotion Based Music Recommendation System (2020) Rumiantcev, Mikhail; et al.; A4; OA
- Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data (2020) Wang, Xiulin; et al.; A4; 978-9-0827-9705-3
- Human experts vs. machines in taxa recognition (2020) Ärje, Johanna; et al.; A1; OA
Liittyvät tutkimusaineistot
- Assessment of microalgae species, biomass and distribution from spectral images using a convolution neural network (2021) Salmi, Pauliina; et al.
- Au38Q MBTR-K3 (2020) Linja, Joakim; et al.; doi:10.5281/zenodo.4268064
- Kernels and Graphs on M25 + H (2023) Pihlajamäki, Antti; et al.
- Kernels and Graphs on M25 + H (parent repository) (2023) Pihlajamäki, Antti; et al.
- Supplementary data for the article "Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions" (2022) Hyttinen, Noora