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检索条件"机构=Department of Numerical Analysis and Computing Science"
158 条 记 录,以下是1-10 订阅
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Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
Modeling stochastic eye tracking data: A comparison of quant...
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2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Bhandari, Shailendra Lencastre, Pedro Lind, Pedro Department of Computer Science OsloMet - Oslo Metropolitan University OsloN-0130 Norway Simula Research Laboratory Numerical Analysis and Scientific Computing Oslo0164 Norway
We explore the use of quantum generative adversarial networks QGANs for modeling eye movement velocity data. We assess whether the advanced computational capabilities of QGANs can enhance the modeling of complex stoch... 详细信息
来源: 评论
Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification  18
Cross-Modality Gait Recognition: Bridging LiDAR and Camera M...
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18th IEEE International Joint Conference on Biometrics, IJCB 2024
作者: Wang, Rui Shen, Chuanfu Marin-Jimenez, Manuel J. Huang, George Q. Yu, Shiqi Southern University of Science and Technology Department of Computer Science and Engineering China The University of Hong Kong Department of Industrial and Manufacturing Systems Engineering Hong Kong University of Cordoba Department of Computing and Numerical Analysis Spain The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various e... 详细信息
来源: 评论
Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure  15
Barycentre Averaging for the Move-Split-Merge Time Series Di...
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15th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2023 as part of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023
作者: Holder, Christopher Guijo-Rubio, David Bagnall, Anthony School of Computing Sciences University of East Anglia Norwich United Kingdom Department of Computer Science and Numerical Analysis University of Córdoba Córdoba Spain School of Electronics and Computer Science University of Southampton Southampton United Kingdom
Distance functions play a core role in many time series machine learning algorithms for tasks such as clustering, classification and regression. Time series often require bespoke distance functions because small offse... 详细信息
来源: 评论
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
arXiv
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arXiv 2024年
作者: Luna, J.M. Fardoun, H.M. Padillo, F. Romero, C. Ventura, S. Department of Computer Science and Numerical Analysis University of Cordoba Cordoba Spain Faculty of Computing and Information Technology King Abdulaziz University Saudi Arabia
The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce. The final objective is to discover I... 详细信息
来源: 评论
An energy stable and conservative multiplicative dynamical low-rank discretization for the Su-Olson problem
arXiv
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arXiv 2025年
作者: Baumann, Lena Einkemmer, Lukas Klingenberg, Christian Kusch, Jonas University of Wuerzburg Department of Mathematics Wuerzburg Germany University of Innsbruck Numerical Analysis and Scientific Computing Innsbruck Austria Norwegian University of Life Sciences Department of Data Science Ås Norway
computing numerical solutions of the thermal radiative transfer equations on a finely resolved grid can be costly due to high computational and memory requirements. A numerical reduced order method that has recently b... 详细信息
来源: 评论
Hexagons all the way down: grid cells as a conformal isometric map of space
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PLoS Computational Biology 2025年 第2期21卷 e1012804页
作者: Schøyen, Vemund Sigmundson Beshkov, Kosio Pettersen, Markus Borud Hermansen, Erik Holzhausen, Konstantin Malthe-Sørenssen, Anders Fyhn, Marianne Lepperød, Mikkel Elle Department of Biosciences University of Oslo Oslo Norway Department of Physics University of Oslo Oslo Norway Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway Department of Numerical Analysis and Scientific Computing Simula Research Laboratory AS Oslo Norway
Grid cells in the entorhinal cortex are known for their hexagonal spatial activity patterns and are thought to provide a neural metric for space, and support path integration. In this study, we further investigate gri... 详细信息
来源: 评论
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
arXiv
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arXiv 2024年
作者: Bhandari, Shailendra Lencastre, Pedro Lind, Pedro Department of Computer Science OsloMet – Oslo Metropolitan University OsloN-0130 Norway Simula Research Laboratory Numerical Analysis and Scientific Computing Oslo0164 Norway
We explore the use of quantum generative adversarial networks QGANs for modeling eye movement velocity data. We assess whether the advanced computational capabilities of QGANs can enhance the modeling of complex stoch... 详细信息
来源: 评论
A stable multiplicative dynamical low-rank discretization for the linear Boltzmann-BGK equation
arXiv
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arXiv 2024年
作者: Baumann, Lena Einkemmer, Lukas Klingenberg, Christian Kusch, Jonas University of Wuerzburg Department of Mathematics Wuerzburg Germany University of Innsbruck Numerical Analysis and Scientific Computing Innsbruck Austria Norwegian University of Life Sciences Department of Data Science Ås Norway
The numerical method of dynamical low-rank approximation (DLRA) has recently been applied to various kinetic equations showing a significant reduction of the computational effort. In this paper, we apply this concept ... 详细信息
来源: 评论
CUT FINITE ELEMENT DISCRETIZATIONS OF CELL-BY-CELL EMI ELECTROPHYSIOLOGY MODELS
arXiv
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arXiv 2023年
作者: Berre, Nanna Rognes, Marie E. Massing, André Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo Norway
The EMI (Extracellular-Membrane-Intracellular) model describes electrical activity in excitable tissue, where the extracellular and intracellular spaces and cellular membrane are explicitly represented. The model coup... 详细信息
来源: 评论
DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications
arXiv
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arXiv 2024年
作者: Khadka, Rabindra Lind, Pedro G. Yazidi, Anis Belhadi, Asma Department of Computer Science OsloMet – Oslo Metropolitan University OsloN-0130 Norway Simula Research Laboratory Numerical Analysis and Scientific Computing OsloN-0164 Norway
Electroencephalography (EEG) data provides a non-invasive method for researchers and clinicians to observe brain activity in real time. The integration of deep learning techniques with EEG data has significantly impro... 详细信息
来源: 评论