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 3181–3190 of 6748 papers

Title	Date	Tasks	Status
A review on outlier/anomaly detection in time series data	Feb 11, 2020	Anomaly DetectionOutlier Detection	—Unverified
Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information	Jan 24, 2022	Time SeriesTime Series Analysis	—Unverified
Forestry digital twin with machine learning in Landsat 7 data	Apr 2, 2022	BIG-bench Machine LearningTime Series	—Unverified
Composable Generative Models	Feb 18, 2021	ImputationPrivacy Preserving	—Unverified
Foreign exchange risk premia: from traditional to state-space analyses	May 25, 2016	Time SeriesTime Series Analysis	—Unverified
IMG-NILM: A Deep learning NILM approach using energy heatmaps	Jul 12, 2022	Deep LearningNon-Intrusive Load Monitoring	—Unverified
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic	Nov 1, 2020	Emotion RecognitionTime Series	—Unverified
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model	Sep 6, 2022	PrognosisTime Series	—Unverified
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting	Dec 13, 2018	image-classificationImage Classification	—Unverified
Foreign Exchange Market Performance: Evidence from Bivariate Time Series Approach	Aug 27, 2016	Time SeriesTime Series Analysis	—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