koneoppiminen
http://www.yso.fi/onto/yso/p21846
Liittyvät henkilöt
Liittyvät julkaisut ja muut tuotokset
1/31
- A deep learning model developed for sleep apnea detection : A multi-center study (2023) Li, Fan; et al.; A1
- Advancing nanomaterials design using novel machine learning methods (2023) Linja, Joakim; G5; OA; 978-951-39-9517-1
- An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network (2023) De, Ailing; et al.; A1
- A Successful Crowdsourcing Approach for Bird Sound Classification (2023) Lehikoinen, Petteri; et al.; A1; OA
- Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture (2023) Jin, Shan; et al.; A1
- Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation (2023) Terziyan, Vagan; et al.; A4; OA
- Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG (2023) Wang, Xiaoshuang; et al.; A1; OA
- Comparing reference point based interactive multiobjective optimization methods without a human decision maker (2023) Chen, Lu; et al.; A1; OA
- Data Analytics in Healthcare : A Tertiary Study (2023) Taipalus, Toni; et al.; A2; OA
- Defensive Machine Learning Methods and the Cyber Defence Chain (2023) Turtiainen, Hannu; et al.; A3; 978-3-031-15030-2
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
- Supplementary data for the article "Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions" (2022) Hyttinen, Noora
