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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Utterance Emotion Dynamics in Children’s Poems: Emotional Changes Across Age ACL 2023
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023
Learning Perturbations to Explain Time Series Predictions ICML 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations AISTATS 2023
A dynamic model of lexical experience for tracking of oral reading fluency ACL 2023
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification AAAI 2023
Are Transformers Effective for Time Series Forecasting? AAAI 2023
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) AAAI 2023
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features INTERSPEECH 2023
Inference for mark-censored temporal point processes UAI 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting ICML 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023
Temporal Graph Neural Networks for Irregular Data AISTATS 2023
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting AAAI 2023
Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction NIPS 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023
Computationally Assisted Quality Control for Public Health Data Streams IJCAI 2023
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks AAAI 2023