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 4011–4020 of 6748 papers

Title	Date	Tasks	Status
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing	Oct 21, 2018	Time SeriesTime Series Analysis	—Unverified
Training Echo State Networks with Regularization through Dimensionality Reduction	Aug 16, 2016	Dimensionality ReductionTime Series	—Unverified
Training-free LLM-generated Text Detection by Mining Token Probability Sequences	Oct 8, 2024	LLM-generated Text DetectionText Detection	—Unverified
Training Linear Finite-State Machines	Dec 1, 2020	GPULanguage Modeling	—Unverified
"Train one, Classify one, Teach one" -- Cross-surgery transfer learning for surgical step recognition	Feb 24, 2021	BIG-bench Machine LearningSelf-Supervised Learning	—Unverified
TRAKR – A reservoir-based tool for fast and accurate classification of neural time-series patterns	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
Transfer Entropy: where Shannon meets Turing	Apr 19, 2019	Time SeriesTime Series Analysis	—Unverified
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization	Aug 23, 2022	Dynamic Time WarpingTime Series	—Unverified
Transfer Learning for Autonomous Chatter Detection in Machining	Apr 11, 2022	Time Series AnalysisTopological Data Analysis	—Unverified
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks	Jul 4, 2018	Mortality PredictionTime Series	—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