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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 6748 papers

TitleStatusHype
Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural NetworksCode0
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems—0
A Review of the Long Horizon Forecasting Problem in Time Series AnalysisCode0
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series—0
The interplay of robustness and generalization in quantum machine learningCode0
Trojan Horse Hunt in Time Series Forecasting for Space Operations—0
Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison—0
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series—0
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?—0
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor LearningCode1
Show:102550
← PrevPage 1 of 675Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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