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TitleStatusHype
Cryptocurrency Market Consolidation in 2020--2021—0
To VaR, or Not to VaR, That is the Question—0
Toward a Foundation Model for Time Series Data—0
Toward a generic representation of random variables for machine learning—0
Time-Transformed Test for the Explosive Bubbles under Non-stationary Volatility—0
Hydroclimatic time series features at multiple time scales—0
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data—0
A Tale of Tail Covariances (and Diversified Tails)—0
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions—0
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes—0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines—0
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
Time-to-Green predictions for fully-actuated signal control systems with supervised learning—0
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods—0
Metaheuristics optimized feedforward neural networks for efficient stock price prediction—0
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile—0
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series—0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach—0
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions—0
Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization—0
Towards a universal neural network encoder for time series—0
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting—0
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