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 31–40 of 6748 papers

Title	Date	Tasks	Status	Hype
LLM4CP: Adapting Large Language Models for Channel Prediction	Jun 20, 2024	PredictionTime Series Analysis	CodeCode Available	3
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting	May 24, 2019	Time SeriesTime Series Analysis	CodeCode Available	3
Applications of Deep Neural Networks with Keras	Sep 11, 2020	Deep LearningTime Series	CodeCode Available	3
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn	Jul 15, 2022	Anomaly DetectionTime Series	CodeCode Available	3
GluonTS: Probabilistic Time Series Models in Python	Jun 12, 2019	Anomaly DetectionTime Series	CodeCode Available	3
Deep Learning for Multivariate Time Series Imputation: A Survey	Feb 6, 2024	Deep LearningImputation	CodeCode Available	3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series	Feb 16, 2022	Anomaly DetectionDensity Estimation	CodeCode Available	3
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms	Sep 20, 2020	Time SeriesTime Series Analysis	CodeCode Available	3
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting	Dec 19, 2019	Interpretable Machine LearningTime Series	CodeCode Available	3
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	Jan 30, 2022	Time SeriesTime Series Analysis	CodeCode Available	2

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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