SOTAVerified

Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Showing 11–20 of 6748 papers

TitleStatusHype
Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side—0
Intraday Functional PCA Forecasting of Cryptocurrency Returns—0
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis—0
LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modelingCode0
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges—0
Byte Pair Encoding for Efficient Time Series Forecasting—0
Level Generation with Quantum Reservoir Computing—0
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis—0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
The Impact of COVID-19 on FinTech Lending in Indonesia: Evidence From Interrupted Time Series Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified