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time series analysis

174 papers

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Also known as

TSA

Co-occurring keywords

time series (434) anomaly detection (740) causal inference (1619) bayesian inference (1904) representation learning (6174) time series forecasting (360) multimodal learning (4622) large language model (12755) sentiment analysis (2079) gaussian process (1198)

Papers

Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models AAAI 2026
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025
DyCAST: Learning Dynamic Causal Structure from Time Series ICLR 2025
OPTIMUS: Observing Persistent Transformations in Multi-Temporal Unlabeled Satellite-Data WACV 2025
Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine IJCAI 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting IJCAI 2025
CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification ACL 2025
Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025
Who leads? Who follows? Temporal dynamics of political dogwhistles in Swedish online communities ACL 2025
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era IJCAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
General Incomplete Time Series Analysis via Patch Dropping Without Imputation IJCAI 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning AAAI 2025
Hubness Change Point Detection AAAI 2025
Sparse Graphical Linear Dynamical Systems JMLR 2024
Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024
An Online Bootstrap for Time Series AISTATS 2024
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024