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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,932 papers · 148 categories

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3 results for “multi-seasonality”

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patternsstat.AP

LSTM-MSNet forecasts time series with multiple seasonal patterns using a unified model.

problem Forecasting time series with multiple seasonal cycles.

method Decomposition-based, unified prediction framework using LSTM.

result LSTM-MSNet outperforms state-of-the-art methods on various datasets.

time series forecasting multi-seasonal patterns LSTM decomposition forecasting competition

2019-09-10abs ↗pdf ↗

Developing an Unsupervised Real-time Anomaly Detection Scheme for Time Series with Multi-seasonalitycs.LG

New scheme detects anomalies in time series data quickly and accurately.

problem Detecting anomalies in time series data with multi-seasonality and unlabeled data.

method Prediction-driven, unsupervised anomaly detection scheme combining decomposition and inference.

result Our scheme outperforms existing algorithms in AUC metric while maintaining efficiency.

anomaly detection time series multi-seasonality unsupervised real-time

2019-08-03abs ↗pdf ↗

Provably Outlier-resistant Semi-parametric Regression for Transferable Calibration of Low-cost Air-quality Sensorscs.LG

RESPIRE calibrates low-cost air-quality sensors for CO levels, resistant to outliers.

problem Calibrating LCAQ sensors against regulatory-grade monitors is expensive and time-consuming.

method PROvably outlier-resistant semi-parametric regression technique.

result RESPIRE offers improved prediction in cross-site, cross-season, and cross-sensor settings.

calibration LCAQ sensors CO sensors outlier resistance semi-parametric regression

2025-11-25abs ↗pdf ↗