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 4891–4900 of 6748 papers

Title	Date	Tasks	Status
Adaptive hedging horizon and hedging performance estimation	Feb 1, 2023	Time SeriesTime Series Analysis	—Unverified
Adaptive Inducing Points Selection For Gaussian Processes	Jul 21, 2021	Gaussian ProcessesTime Series	—Unverified
Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel Analysis	Mar 11, 2018	Time SeriesTime Series Analysis	—Unverified
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data	Jul 11, 2018	Time SeriesTime Series Analysis	—Unverified
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection	Jan 3, 2022	Anomaly DetectionDiversity	—Unverified
Adaptive model selection in photonic reservoir computing by reinforcement learning	Apr 27, 2020	Load ForecastingModel Selection	—Unverified
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift	Feb 23, 2023	Bayesian OptimizationTime Series	—Unverified
Adaptive Sequential Design for a Single Time-Series	Jan 29, 2021	Time SeriesTime Series Analysis	—Unverified
Adaptive Transfer Learning of Multi-View Time Series Classification	Oct 14, 2019	ClassificationDensity Estimation	—Unverified
Adaptive Transmit Waveform Design using Multi-Tone Sinusoidal Frequency Modulation	Feb 24, 2020	Time 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