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 3701–3710 of 6748 papers

Title	Date	Tasks	Status
Reservoir Computing Using Complex Systems	Dec 17, 2022	Time SeriesTime Series Analysis	—Unverified
Reservoir Computing via Quantum Recurrent Neural Networks	Nov 4, 2022	Quantum Machine LearningTime Series Analysis	—Unverified
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics	Aug 21, 2021	BIG-bench Machine LearningPrediction	—Unverified
Reservoir Computing with Magnetic Thin Films	Jan 29, 2021	Time SeriesTime Series Analysis	—Unverified
Reservoir observers: Model-free inference of unmeasured variables in chaotic systems	Apr 5, 2017	Time Series Analysis	—Unverified
Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting	May 3, 2022	ManagementTime Series Analysis	—Unverified
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment	Jun 22, 2021	Time SeriesTime Series Alignment	—Unverified
Rethinking Attention Mechanism in Time Series Classification	Jul 14, 2022	ClassificationKnowledge Distillation	—Unverified
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing	May 30, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified
Retrieval Based Time Series Forecasting	Sep 27, 2022	ImputationRetrieval	—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