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 2381–2390 of 6748 papers

Title	Date	Tasks	Status
Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series	Dec 24, 2021	Time SeriesTime Series Analysis	—Unverified
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks	Feb 3, 2020	Time SeriesTime Series Analysis	—Unverified
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting	Jul 8, 2021	DiversityTime Series	—Unverified
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations	Oct 29, 2021	Causal DiscoveryCausal Inference	—Unverified
Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization	Nov 21, 2020	Time SeriesTime Series Analysis	—Unverified
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning	Feb 1, 2021	DenoisingTime Series	—Unverified
Estimación del Exponente de Hurst en Flujos de Tráfico Autosimilares	Mar 11, 2010	Time SeriesTime Series Analysis	—Unverified
Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines	Apr 20, 2016	Future predictionTime Series	—Unverified
CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction	Sep 25, 2019	DecoderGraph Attention	—Unverified
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network	Jan 3, 2021	Activity RecognitionHuman Activity Recognition	—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