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Showing 4851–4900 of 9169 papers

TitleStatusHype
TACTiS: Transformer-Attentional Copulas for Time SeriesCode1
Structured Time Series Prediction without Structural PriorCode1
Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique—0
Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model—0
Robust Anomaly Detection for Time-series Data—0
TTS-GAN: A Transformer-based Time-Series Generative Adversarial NetworkCode2
On Neural Differential EquationsCode5
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series—0
Functional Mixtures-of-Experts—0
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series—0
Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis—0
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite ImageryCode0
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer InterfacesCode0
Decoupling Local and Global Representations of Time SeriesCode1
COVID-19 Hospitalizations Forecasts Using Internet Search Data—0
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series ForecastingCode2
Review of automated time series forecasting pipelines—0
ETSformer: Exponential Smoothing Transformers for Time-series ForecastingCode2
Robust Audio Anomaly Detection—0
Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural NetworksCode1
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log-returns: out-of-sample comparison of conditional EVT models—0
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting—0
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
Semantic of Cloud Computing services for Time Series workflows—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
Similarity Learning based Few Shot Learning for ECG Time Series ClassificationCode1
Partial Sum Processes of Residual-Based and Wald-type Break-Point Statistics in Time Series Regression Models—0
A General Description of Growth Trends—0
Imbedding Deep Neural NetworksCode0
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer—0
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingCode2
N-HiTS: Neural Hierarchical Interpolation for Time Series ForecastingCode2
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV FeedbackCode0
Unifying Pairwise Interactions in Complex DynamicsCode2
Time-Series Anomaly Detection with Implicit Neural RepresentationCode1
Cause-Effect Preservation and Classification using Neurochaos Learning—0
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier—0
Unsupervised Change Detection using DRE-CUSUM—0
Robust Augmentation for Multivariate Time Series Classification—0
Stochastic Identification-based Active Sensing Acousto-Ultrasound SHM Using Stationary Time Series Models—0
S^3NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks—0
Learning Mixtures of Linear Dynamical Systems—0
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection—0
Regime recovery using implied volatility in Markov modulated market modelCode0
Estimating and backtesting risk under heavy tails—0
Differentially-Private Heat and Electricity Markets Coordination—0
Multiscaling and rough volatility: an empirical investigation—0
Neural Information Squeezer for Causal EmergenceCode1
Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data—0
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