Tag: Time Series Data
All the articles with the tag "Time Series Data".
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Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
TSAD-C introduces a pioneering unsupervised framework for multivariate time-series anomaly detection on contaminated data, using a Decontaminator with S4-based diffusion, long-range dependency modeling via a time-then-graph approach, and anomaly scoring, achieving state-of-the-art performance across diverse datasets.
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Deep Learning for On-Street Parking Violation Prediction
This paper develops a Deep Learning model with a novel data smoothing technique to predict fine-grained on-street parking violation rates in Thessaloniki, Greece, using indirect features like weather and time, achieving improved accuracy (MAE of 0.146) over baseline methods.
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TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
This paper introduces TiC-LM, a web-scale benchmark for time-continual LLM pretraining using 114 Common Crawl dumps, demonstrating that replay and autoregressive schedules can match Oracle retraining on general web data with less compute, though trade-offs persist across domains.