Time Series Analysis

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022 DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data IJCAI 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML 2022 Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022 Dynamic Sparse Network for Time Series Classification: Learning What to “See” NeurIPS 2022 Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset NAACL 2022 EasySM: A Data-Driven Intelligent Decision Support System for Server Merge AAAI 2022 Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NeurIPS 2022 ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts NeurIPS 2022 Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract) IJCAI 2022 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NeurIPS 2022 Finding Scientific Topics in Continuously Growing Text Corpora COLING 2022 Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts NAACL 2022 From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract) AAAI 2022 Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NeurIPS 2022 Gradient Importance Learning for Incomplete Observations ICLR 2022 GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning IJCAI 2022 Identifying Moments of Change from Longitudinal User Text ACL 2022 Incorporating Stock Market Signals for Twitter Stance Detection ACL 2022 Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings JMLR 2022 Interval-censored Hawkes processes JMLR 2022 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022