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Found 6 papers, 2 papers with code
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network
It achieves prediction results that not only outperform the others models relies solely on stock factors, but also achieve comparable performance to the second category models.
Image Reconstruction from Electroencephalography Using Latent Diffusion
In this work, we have adopted the diffusion-based image reconstruction pipeline previously used for fMRI image reconstruction and applied it to Electroencephalography (EEG).
Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems
However, the implementation of decision loss in power systems faces challenges in 1) accommodating multi-stage decision-making problems where upstream optimality cannot guarantee final optimality; 2) adapting to dynamic environments such as changing parameters and nature of the problem like continuous or discrete optimization tasks.
STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity
In this paper, we propose a Spatial Toeplitz Inverse Covariance-Based Clustering (STICC) method that considers both attributes and spatial relationships of geographic objects for multivariate spatial clustering.
Extracting human emotions at different places based on facial expressions and spatial clustering analysis
In this study, a novel framework for extracting human emotions from large-scale georeferenced photos at different places is proposed.
On Lower Central Series Quotients of Finitely Generated Algebras over $\mathbb{Z}$
Let $A$ be an associative unital algebra, $B_k$ its successive quotients of lower central series and $N_k$ the successive quotients of ideals generated by lower central series.
Rings and Algebras
