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 1231–1240 of 6748 papers

Title	Date	Tasks	Status
Robust language-based mental health assessments in time and space through social media	Feb 25, 2023	Time Series Analysis	—Unverified
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance	Feb 25, 2023	Load ForecastingOut-of-Distribution Generalization	—Unverified
Chaotic Variational Auto encoder-based Adversarial Machine Learning	Feb 25, 2023	speech-recognitionSpeech Recognition	—Unverified
Detecting Rough Volatility: A Filtering Approach	Feb 24, 2023	parameter estimationTime Series	—Unverified
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data	Feb 24, 2023	Time SeriesTime Series Analysis	—Unverified
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression	Feb 24, 2023	ClusteringRepresentation Learning	CodeCode Available
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers	Feb 23, 2023	Load ForecastingTime Series	—Unverified
A metric to compare the anatomy variation between image time series	Feb 23, 2023	AnatomyTime Series	—Unverified
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift	Feb 23, 2023	Bayesian OptimizationTime Series	—Unverified
Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Unit Quaternion Observation Space	Feb 23, 2023	speech-recognitionSpeech 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