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 231–240 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping	Jun 12, 2023	Correlated Time Series ForecastingRepresentation Learning	CodeCode Available	1	5
Adversarial Sparse Transformer for Time Series Forecasting	Dec 1, 2020	Multivariate Time Series ForecastingPrediction	CodeCode Available	1	5
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1	5
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series	Oct 10, 2020	Anomaly DetectionTime Series	CodeCode Available	1	5
Deeptime: a Python library for machine learning dynamical models from time series data	Oct 28, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Jun 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Deep Time Series Forecasting with Shape and Temporal Criteria	Apr 9, 2021	Change DetectionDiversity	CodeCode Available	1	5
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations	Jun 16, 2022	Causal Inferencecounterfactual	CodeCode Available	1	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