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 26712680 of 6748 papers

TitleStatusHype
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method0
Causality and Generalizability: Identifiability and Learning Methods0
Finding manoeuvre motifs in vehicle telematics0
Finding middle ground? Multi-objective Natural Language Generation from time-series data0
Finding Motif Sets in Time Series0
Finding Patterns in Visualized Data by Adding Redundant Visual Information0
A Hybrid Approach on Conditional GAN for Portfolio Analysis0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks0
Fine-grained Pattern Matching Over Streaming Time Series0
Fractal Time Series Analysis of Social Network Activities0
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Benchmark Results

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