AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
IEEE

COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution

Abstract: Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale.
IEEE

Skeleton-Based Continuous Scale Parkinsonian Gait Score Estimation Using Omni-Dimensional Self-Attention Convolution Networks

Abstract: Gait abnormalities constitute a primary motor symptom of Parkinson’s disease (PD). Clinically, the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is widely ...
MarketWatch

Gold Continuous Contract

2-Year U.S. Treasury Note Continuous Contract $104.250-0.090-0.09% 5-Year U.S. Treasury Note Continuous Contract $109.070-0.094-0.09% 10-Year U.S. Treasury Note Continuous Contract $112.234-0.016-0.01 ...
MarketWatch

Crude Oil Continuous Contract

2-Year U.S. Treasury Note Continuous Contract $104.250-0.090-0.09% 5-Year U.S. Treasury Note Continuous Contract $109.070-0.094-0.09% 10-Year U.S. Treasury Note Continuous Contract $112.234-0.016-0.01 ...
Investopedia

Understanding Continuous Bonds: Definition, Functionality, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Investopedia

Discrete vs. Continuous Compounding: Key Differences Explained

Sean Ross is a strategic adviser at 1031x.com, Investopedia contributor, and the founder and manager of Free Lances Ltd. Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor ...
GitHub

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
GitHub

CSformer: Bridging Convolution and Transformer for Compressive Sensing (TIP 2023)

Official Pytorch implementation of "CSformer: Bridging Convolution and Transformer for Compressive Sensing" published in IEEE Transactions on Image Processing (TIP). Checkpoints trained on CoCo ...