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 101–110 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction	Jan 19, 2023	Computational EfficiencyGraph Neural Network	CodeCode Available	2	5
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Mar 24, 2022	Representation LearningSlice Discovery	CodeCode Available	2	5
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Feb 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	2	5
Probabilistic Time Series Forecasting with Implicit Quantile Networks	Jul 8, 2021	Probabilistic Time Series ForecastingTime Series	CodeCode Available	2	5
Conformal prediction interval for dynamic time-series	Oct 18, 2020	Conformal PredictionEnsemble Learning	CodeCode Available	2	5
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data	Dec 16, 2024	Language ModelingLanguage Modelling	CodeCode Available	2	5
Satellite Image Time Series Analysis for Big Earth Observation Data	Apr 24, 2022	BIG-bench Machine LearningCloud Computing	CodeCode Available	2	5
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding	Nov 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	2	5
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Jun 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	2	5
Closed-form Continuous-time Neural Models	Jun 25, 2021	FormSentiment Analysis	CodeCode Available	2	5

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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