Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Methods
Data Science & Analytics
›
Methods
›
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
Diffusion Guided Propagation Augmentation for Popularity Prediction
IJCAI 2025
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction
ICCV 2025
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting
IJCAI 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity
CVPR 2025
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
ICCV 2025
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
AAAI 2025
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences
IJCAI 2025
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
IJCAI 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
IJCAI 2025
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries
AAAI 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
AAAI 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
AAAI 2025
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
IJCAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
AAAI 2025
Toward Interpretable Time Series Modeling: A Kernel Representation Perspective
IJCAI 2025
Aligning Time-series by Local Trends: Applications in Public Health
AAAI 2025
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
AAAI 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
ACL 2025
Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series
AAAI 2025
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence
EMNLP 2025
<
1
2
3
4
5
…
34
>