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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.

168,695 papers · 148 categories

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0111 · Oct 202019922001200920172026
2 results for “ISMTS”
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysiscs.LG

MuSiCNet tackles irregularly sampled multivariate time series by treating them as a hierarchy of relatively regular series.

problem Irregularly sampled multivariate time series with missing values.
method Gradual coarse-to-fine approach with multi-scale and multi-correlation attention network.
result MuSiCNet improves ISMTS representation quality through hierarchical learning.
ISMTScoarse-to-finemulti-scalemulti-correlationattention
2024-12-02abs ↗pdf ↗
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Datacs.LG

This paper reviews deep learning methods for handling irregularly sampled medical time series data.

problem Handling irregularly sampled medical time series data for personalized treatment and precise diagnosis.
method Summarizes and compares deep learning methods categorized by technology and task.
result Achieved good results in data imputation and downstream tasks.
deep learningirregularly sampled datamedical time seriesdata imputationdownstream tasks
2020-10-23abs ↗pdf ↗