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 3311–3320 of 6748 papers

Title	Date	Tasks	Status
Causal Analysis of Generic Time Series Data Applied for Market Prediction	Apr 22, 2022	Time SeriesTime Series Analysis	—Unverified
Data-Driven Time Series Reconstruction for Modern Power Systems Research	Oct 26, 2021	Time SeriesTime Series Analysis	—Unverified
Initial conditions in the neural field model	May 23, 2016	modelTime Series	—Unverified
Initialising Kernel Adaptive Filters via Probabilistic Inference	Jul 11, 2017	Time SeriesTime Series Analysis	—Unverified
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks	Jan 1, 2018	regressionTime Series	—Unverified
Initialization of multilayer forecasting artifical neural networks	Oct 23, 2014	PredictionTime Series	—Unverified
Investigation of Proper Orthogonal Decomposition for Echo State Networks	Nov 30, 2022	Model Predictive ControlTime Series Analysis	—Unverified
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems	Dec 28, 2024	Anomaly DetectionBinary Classification	—Unverified
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting	Apr 21, 2022	modelSTS	—Unverified
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case	Nov 10, 2022	Deep Reinforcement LearningManagement	—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