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Data Science & Analytics
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Methods
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Time Series Analysis
826 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 6
2008: 6
2009: 7
2010: 7
2011: 12
2012: 15
2013: 21
2014: 13
2015: 10
2016: 22
2017: 25
2018: 35
2019: 56
2020: 64
2021: 83
2022: 71
2023: 110
2024: 138
2025: 107
2026: 8
Papers
Hubness Change Point Detection
AAAI 2025
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System
IJCAI 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis
IJCAI 2025
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
IJCAI 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
IJCAI 2025
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
IJCAI 2025
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction
ICCV 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
AAAI 2025
Aligning Time-series by Local Trends: Applications in Public Health
AAAI 2025
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)
AAAI 2025
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting
AAAI 2025
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries
AAAI 2025
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting
AAAI 2025
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract)
AAAI 2025
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
ICCV 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
AAAI 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting
WACV 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
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