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 2241–2250 of 6748 papers

Title	Date	Tasks	Status
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series	Mar 27, 2020	Anomaly DetectionClustering	—Unverified
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations	Sep 23, 2019	Time SeriesTime Series Analysis	—Unverified
Real-Time Privacy-Preserving Data Release for Smart Meters	Jun 14, 2019	Privacy PreservingTime Series Analysis	—Unverified
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting	Dec 1, 2020	DecoderTime Series	—Unverified
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data	Nov 7, 2017	Time SeriesTime Series Analysis	—Unverified
Deep Q-network using reservoir computing with multi-layered readout	Mar 3, 2022	Reinforcement Learning (RL)Time Series	—Unverified
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning	Sep 12, 2022	ClassificationTime Series	—Unverified
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems	Jun 3, 2021	DecoderManagement	—Unverified
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties	Jun 10, 2021	Demand ForecastingDiversity	—Unverified
Deep Poisson gamma dynamical systems	Oct 26, 2018	Data AugmentationTime Series	—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