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 4211–4220 of 6748 papers

Title	Date	Tasks	Status
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories	Mar 23, 2015	Action RecognitionGeneral Classification	—Unverified
Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention	Mar 3, 2021	Sentiment AnalysisTime Series Analysis	—Unverified
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer	Feb 15, 2022	ARCTime Series Analysis	—Unverified
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting	Jul 27, 2021	Autonomous DrivingState Estimation	—Unverified
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis	May 24, 2025	Financial AnalysisStock Price Prediction	—Unverified
Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach	Jul 9, 2017	ClusteringManagement	—Unverified
Visual Evaluation of Generative Adversarial Networks for Time Series Data	Dec 23, 2019	Time SeriesTime Series Analysis	—Unverified
Visual Time Series Forecasting: An Image-driven Approach	Nov 18, 2020	QuantizationTime Series	—Unverified
Visualising Deep Network's Time-Series Representations	Mar 12, 2021	Time SeriesTime Series Analysis	—Unverified
Visualizing High Dimensional Dynamical Processes	Jun 25, 2019	EEGElectroencephalogram (EEG)	—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