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 1651–1660 of 6748 papers

Title	Date	Tasks	Status	Score
Elastic Product Quantization for Time Series	Jan 4, 2022	QuantizationTime Series	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
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series	Nov 3, 2024	Data IntegrationFeature Engineering	CodeCode Available	5
Efficient Matrix Profile Computation Using Different Distance Functions	Jan 17, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Causal Discovery with Attention-Based Convolutional Neural Networks	Jan 7, 2019	Causal DiscoveryDecision Making	CodeCode Available	5
Causal Discovery using Model Invariance through Knockoff Interventions	Jul 8, 2022	Causal Discoverymodel	CodeCode Available	5
Efficient learning of nonlinear prediction models with time-series privileged information	Sep 15, 2022	PredictionRepresentation Learning	CodeCode Available	5
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables	Aug 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network	Sep 2, 2019	Anomaly DetectionTime Series	CodeCode Available	5
Causal discovery for time series with latent confounders	Sep 7, 2022	Causal DiscoveryTime Series	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