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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 4041–4050 of 6748 papers

Title	Date	Tasks	Status
Triad State Space Construction for Chaotic Signal Classification with Deep Learning	Mar 26, 2020	ClassificationGeneral Classification	—Unverified
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version	Apr 28, 2022	Multivariate Time Series ForecastingTime Series	—Unverified
Triple Simplex Matrix Completion for Expense Forecasting	Oct 23, 2023	Matrix CompletionTime Series	—Unverified
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications	Jun 11, 2019	Time SeriesTime Series Analysis	—Unverified
Trojan Horse Hunt in Time Series Forecasting for Space Operations	Jun 2, 2025	Model PoisoningTime Series	—Unverified
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy	Aug 10, 2022	ClassificationExplainable artificial intelligence	—Unverified
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights	May 10, 2024	Anomaly DetectionDynamic Time Warping	—Unverified
TS-BERT: A fusion model for Pre-trainning Time Series-Text Representations	Sep 29, 2021	PredictionTime Series	—Unverified
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting	Nov 29, 2021	Time SeriesTime Series Analysis	—Unverified
Tsformer: Time series Transformer for tourism demand forecasting	Jul 22, 2021	DecoderDemand Forecasting	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified