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 76–100 of 6748 papers

Title	Date	Tasks	Status	Hype
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification	Aug 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	2
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting	Aug 10, 2022	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
Learning Deep Time-index Models for Time Series Forecasting	Jul 13, 2022	Inductive BiasMeta-Learning	CodeCode Available	2
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python	Jul 7, 2022	BIG-bench Machine LearningDecision Making	CodeCode Available	2
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting	Jun 18, 2022	Graph Neural NetworkMultivariate Time Series Forecasting	CodeCode Available	2
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	Jun 18, 2022	Graph LearningGraph Neural Network	CodeCode Available	2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Jun 17, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2
OmniXAI: A Library for Explainable AI	Jun 1, 2022	counterfactualCounterfactual Explanation	CodeCode Available	2
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting	May 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
An Extensive Data Processing Pipeline for MIMIC-IV	Apr 29, 2022	modelTime Series Analysis	CodeCode Available	2
Satellite Image Time Series Analysis for Big Earth Observation Data	Apr 24, 2022	BIG-bench Machine LearningCloud Computing	CodeCode Available	2
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction	Apr 6, 2022	PredictionStock Prediction	CodeCode Available	2
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Mar 24, 2022	Representation LearningSlice Discovery	CodeCode Available	2
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	Mar 15, 2022	BenchmarkingDomain Adaptation	CodeCode Available	2
Flowformer: Linearizing Transformers with Conservation Flows	Feb 13, 2022	D4RLOffline RL	CodeCode Available	2
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network	Feb 6, 2022	Data AugmentationDimensionality Reduction	CodeCode Available	2
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Feb 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	2
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting	Feb 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	Jan 30, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting	Jan 30, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
Unifying Pairwise Interactions in Complex Dynamics	Jan 28, 2022	Causal InferenceTime Series	CodeCode Available	2
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	Jan 18, 2022	Anomaly DetectionMeta-Learning	CodeCode Available	2
NeuralProphet: Explainable Forecasting at Scale	Nov 29, 2021	Decision MakingPhilosophy	CodeCode Available	2
LibCity: An Open Library for Traffic Prediction	Nov 4, 2021	Multivariate Time Series ForecastingPrediction	CodeCode Available	2
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	Oct 6, 2021	Anomaly DetectionTime Series	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