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 4021–4030 of 6748 papers

Title	Date	Tasks	Status
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks	Apr 1, 2019	Domain AdaptationTime Series	—Unverified
Transfer learning for cross-modal demand prediction of bike-share and public transit	Mar 17, 2022	PredictionTime Series	—Unverified
Transfer learning of chaotic systems	Nov 15, 2020	General KnowledgeTime Series	—Unverified
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis	Nov 18, 2018	Time SeriesTime Series Analysis	—Unverified
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets	Jul 9, 2021	Representation LearningTime Series	—Unverified
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market	Aug 17, 2022	PredictionStock Price Prediction	—Unverified
Transformer-Based Self-Supervised Learning for Emotion Recognition	Apr 8, 2022	Emotion RecognitionSelf-Supervised Learning	—Unverified
Transformer Encoder and Multi-features Time2Vec for Financial Prediction	Apr 18, 2025	feature selectionStock Prediction	—Unverified
Transformers in Time-series Analysis: A Tutorial	Apr 28, 2022	DecoderTime Series	—Unverified
Rewiring the Transformer with Depth-Wise LSTMs	Jul 13, 2020	NMTTime 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