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 61–70 of 6748 papers

Title	Date	Tasks	Status	Hype
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing	Feb 9, 2023	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
Multi-modal Time Series Analysis: A Tutorial and Survey	Mar 17, 2025	SurveyTime Series	CodeCode Available	2
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting	Feb 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting	Jun 29, 2019	Time SeriesTime Series Analysis	CodeCode Available	2
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	Jan 30, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	Jan 8, 2023	DenoisingDisentanglement	CodeCode Available	2
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Mar 24, 2022	Representation LearningSlice Discovery	CodeCode Available	2
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting	Jun 20, 2020	Time SeriesTime Series Analysis	CodeCode Available	2
Learning Deep Time-index Models for Time Series Forecasting	Jul 13, 2022	Inductive BiasMeta-Learning	CodeCode Available	2
Deep learning for time series classification	Oct 1, 2020	Activity RecognitionClassification	CodeCode Available	2

Show:10 25 50

← PrevPage 7 of 675Next →

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