MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecastingby Wanlin Cai, Yuxuan Liang, Xianggen…
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approachby Shun…
Synthetic Data Applications in Financeby Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef…
SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Databy Ali Eshragh,…
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health recordsby Samuel Kim,…
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learningby Jiecheng Lu, Xu Han, Shihao YangFirst submitted…
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Databy Junyao Wang, Luke Chen, Mohammad Abdullah…
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive…
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensemblingby Yi-Fan Zhang, Qingsong…
Non-parametric Probabilistic Time Series Forecasting via Innovations Representationby Xinyi Wang, Meijen Lee, Qing Zhao, Lang…