machine learning
http://www.yso.fi/onto/yso/p21846
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1 of 39
- Accelerating joint species distribution modelling with Hmsc-HPC by GPU porting (2024) Rahman, Anis Ur; et al.; A1; OA
- Analysing Multidimensional Strategies for Cyber Threat Detection in Security Monitoring (2024) Shelke, Palvi; et al.; A4; OA; 978-1-917204-07-1
- An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network (2024) De, Ailing; et al.; A1
- Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas (2024) Zhuang, Mingrui; et al.; A1
- Approaching Optimal pH Enzyme Prediction with Large Language Models (2024) Zaretckii, Mark; et al.; A1; OA
- Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data (2024) Zhang, Guanghui; et al.; A1; OA
- Augmenting machine learning with human insights : the model development for B2B personalization (2024) Yaghtin, Shahrzad; et al.; A1; OA
- A Workflow for Building Computationally Rational Models of Human Behavior (2024) Chandramouli, Suyog; et al.; A1; OA
- ChatGPT for STEM Education : A Working Framework (2024) Zeeshan, Khaula; et al.; A1; OA
- Cognitive Modeling : From GOMS to Deep Reinforcement Learning (2024) Jokinen, Jussi P. P.; et al.; O1; 979-8-4007-0331-7
Related research datasets
- 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
- GraphBNC source code (2024) Pihlajamäki, Antti; et al.
- GraphBNC source code (parent repository) (2024) Pihlajamäki, Antti; et al.
- 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
- Supplementary material for the article "Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents" (2024) Hyttinen, Noora
