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Showing 2001–2050 of 9169 papers

TitleStatusHype
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic PredictionCode0
Learning DAGs and Root Causes from Time-Series Data—0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecastingCode0
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences—0
Identifying the Hidden Nexus between Benford Law Establishment in Stock Market and Market Efficiency: An Empirical Investigation—0
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features—0
Re-examining Granger Causality from Causal Bayesian Networks Perspective—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
Multivariate Time Series Anomaly Detection using DiffGAN ModelCode0
Time Series Language Model for Descriptive Caption Generation—0
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series GenerationCode0
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis—0
CORAL: Concept Drift Representation Learning for Co-evolving Time-series—0
Unsupervised learning for anticipating critical transitions—0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data—0
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting ModelsCode0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis—0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Evaluating Time Series Foundation Models on Noisy Periodic Time Series—0
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation—0
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework—0
AverageTime: Enhance Long-Term Time Series Forecasting with Simple AveragingCode0
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting—0
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy—0
Dive into Time-Series Anomaly Detection: A Decade ReviewCode0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—0
"Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market—0
A Survey on Time-Series Distance Measures—0
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series—0
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes—0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equationCode0
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity RecognitionCode0
Surrogate Modeling for Explainable Predictive Time Series Corrections—0
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection—0
Time Series Foundational Models: Their Role in Anomaly Detection and PredictionCode0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting—0
Stationary Processes, Wiener-Granger Causality, and Matrix Spectral Factorization—0
Predicting Time Series of Networked Dynamical Systems without Knowing TopologyCode0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
Subsampling, aligning, and averaging to find circular coordinates in recurrent time seriesCode0
VITRO: Vocabulary Inversion for Time-series Representation Optimization—0
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations—0
Quantum Time-Series Learning with Evolutionary AlgorithmsCode0
EasyTime: Time Series Forecasting Made Easy—0
Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction—0
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering—0
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning—0
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