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Methodology
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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
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
AAAI 2022
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
AAAI 2022
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
AAAI 2022
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI 2022
NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space
ACL 2022
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
NIPS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs
NIPS 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
NIPS 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
NIPS 2022
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
NIPS 2022
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
NIPS 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
NIPS 2022
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
NIPS 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
NIPS 2022
Conformal Prediction with Temporal Quantile Adjustments
NIPS 2022
BILCO: An Efficient Algorithm for Joint Alignment of Time Series
NIPS 2022
Anytime-Valid Inference For Multinomial Count Data
NIPS 2022
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
AAAI 2022
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
AAAI 2022
TS2Vec: Towards Universal Representation of Time Series
AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI 2022
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors
AAAI 2022
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
AAAI 2022
Identifying Moments of Change from Longitudinal User Text
ACL 2022
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts
NIPS 2022
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