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 3621–3630 of 6748 papers

Title	Date	Tasks	Status
Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery	Mar 23, 2021	Time Series Analysis	—Unverified
Recent scaling properties of Bitcoin price returns	Sep 15, 2020	Time SeriesTime Series Analysis	—Unverified
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts	Jun 1, 2014	Action ClassificationEvent Detection	—Unverified
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack	Apr 4, 2020	Language ModellingMachine Translation	—Unverified
Recognizing Ornaments in Vocal Indian Art Music with Active Annotation	May 7, 2025	ChunkingGenre classification	—Unverified
Recognizing Temporal Linguistic Expression Pattern of Individual with Suicide Risk on Social Media	Nov 30, 2015	Time SeriesTime Series Analysis	—Unverified
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection	Oct 14, 2020	Anomaly DetectionTime Series	—Unverified
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning	Aug 4, 2021	Time SeriesTime Series Analysis	—Unverified
Reconstructing Noisy Gene Regulation Dynamics Using Extrinsic-Noise-Driven Neural Stochastic Differential Equations	Mar 12, 2025	Time Series Analysis	—Unverified
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops	Oct 22, 2021	ImputationMissing Values	—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