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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
Harmonic Dataset Distillation for Time Series Forecasting
AAAI 2026
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition
AAAI 2026
Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint)
AAAI 2026
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
AAAI 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
AAAI 2026
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
AAAI 2026
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
AAAI 2026
CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract)
AAAI 2026
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting
AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
AAAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
AAAI 2025
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries
AAAI 2025
Aligning Time-series by Local Trends: Applications in Public Health
AAAI 2025
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract)
AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series
AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
AAAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting
AAAI 2025
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
AAAI 2025
Hubness Change Point Detection
AAAI 2025
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