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 331–340 of 6748 papers

Title	Date	Tasks	Status	Hype
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data	Aug 25, 2020	BIG-bench Machine Learningcounterfactual	CodeCode Available	1
COVID-19 Data Analysis and Forecasting: Algeria and the World	Jul 19, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations	Dec 4, 2020	Crop ClassificationEarth Observation	CodeCode Available	1
Crop mapping from image time series: deep learning with multi-scale label hierarchies	Feb 17, 2021	Crop ClassificationGeneral Classification	CodeCode Available	1
Conformal prediction set for time-series	Jun 15, 2022	Conformal PredictionPrediction	CodeCode Available	1
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting	Sep 15, 2021	Decision MakingProbabilistic Time Series Forecasting	CodeCode Available	1
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data	Apr 16, 2021	BenchmarkingCausal Discovery	CodeCode Available	1
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series	Jan 10, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification	Jul 25, 2022	ClassificationExplainable Models	CodeCode Available	1
Calibration of Google Trends Time Series	Jul 27, 2020	Time SeriesTime Series Analysis	CodeCode Available	1

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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