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 1611–1620 of 6748 papers

Title	Date	Tasks	Status	Score
Bayesian nonparametric discontinuity design	Nov 15, 2019	Causal InferenceExperimental Design	CodeCode Available	5
Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural Networks	Jul 17, 2025	Time Series Analysis	CodeCode Available	5
ATCN: Resource-Efficient Processing of Time Series on Edge	Nov 10, 2020	General ClassificationHeartbeat Classification	CodeCode Available	5
On the separation of shape and temporal patterns in time series -Application to signature authentication-	Nov 21, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping	Jan 30, 2019	ClassificationCrop Classification	CodeCode Available	5
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction	Dec 8, 2019	Event ExtractionSentence	CodeCode Available	5
Elastic bands across the path: A new framework and methods to lower bound DTW	Aug 29, 2018	ClusteringDynamic Time Warping	CodeCode Available	5
Elastic Product Quantization for Time Series	Jan 4, 2022	QuantizationTime Series	CodeCode Available	5
Analysis of Thai Capital Market Linkages: Part I. Bivariate Copula Approach	Aug 8, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Efficient Matrix Profile Computation Using Different Distance Functions	Jan 17, 2019	Time SeriesTime Series Analysis	CodeCode Available	5

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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