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 4471–4480 of 6748 papers

Title	Date	Tasks	Status
Kernel Density Estimation-Based Markov Models with Hidden State	Jul 30, 2018	Density EstimationTime Series Analysis	—Unverified
Kernel distance measures for time series, random fields and other structured data	Sep 29, 2021	ClusteringTime Series	—Unverified
Kernel Estimation for Panel Data with Heterogeneous Dynamics	May 27, 2019	Time SeriesTime Series Analysis	—Unverified
Kernel Least Mean Square with Adaptive Kernel Size	Jan 23, 2014	Time SeriesTime Series Analysis	—Unverified
Kernel Methods for Nonlinear Connectivity Detection	Jun 19, 2018	Time SeriesTime Series Analysis	—Unverified
Kernels for sequentially ordered data	Jan 29, 2016	Time SeriesTime Series Analysis	—Unverified
Kernels for time series with irregularly-spaced multivariate observations	Apr 18, 2020	Time SeriesTime Series Analysis	—Unverified
Kernel Spectral Clustering and applications	May 3, 2015	ClusteringImage Segmentation	—Unverified
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach	Aug 12, 2024	global-optimizationTime Series	—Unverified
Ketamine-Medetomidine General Anesthesia Occurs With Alternation of Cortical Electrophysiological Activity Between High and Low Complex States	Feb 9, 2022	Time Series Analysis	—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