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 341–350 of 6748 papers

Title	Date	Tasks	Status	Hype
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	Jan 6, 2022	Audio ClassificationClassification	CodeCode Available	1
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping	Nov 26, 2021	Dynamic Time WarpingTime Series	CodeCode Available	1
Conformal prediction set for time-series	Jun 15, 2022	Conformal PredictionPrediction	CodeCode Available	1
Can LLMs Understand Time Series Anomalies?	Oct 7, 2024	Anomaly DetectionTime Series	CodeCode Available	1
Deep Contrastive One-Class Time Series Anomaly Detection	Jul 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
Deep ConvLSTM with self-attention for human activity decoding using wearables	May 2, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Explicit Duration Switching Models for Time Series	Oct 26, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data	May 5, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Isolation Forest for Anomaly Detection	Jun 14, 2022	Anomaly DetectionTime Series	CodeCode Available	1
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting	Sep 15, 2021	Decision MakingProbabilistic Time Series Forecasting	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