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 1926–1950 of 6748 papers

Title	Date	Tasks	Status	Score
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints	Oct 27, 2018	6D Pose Estimation using RGBDIndustrial Robots	CodeCode Available	5
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series	Nov 20, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment	Jun 20, 2022	Time Series AnalysisVideo Quality Assessment	CodeCode Available	5
Discovering long term dependencies in noisy time series data using deep learning	Nov 15, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	5
A Better Alternative to Piecewise Linear Time Series Segmentation	May 24, 2006	Time SeriesTime Series Analysis	CodeCode Available	5
Discovering patterns of online popularity from time series	Apr 10, 2019	ClusteringTime Series	CodeCode Available	5
Bioluminescence modeling for deep sea experiments	Feb 9, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Action Recognition Using Volumetric Motion Representations	Nov 19, 2019	Action RecognitionData Augmentation	CodeCode Available	5
Discovering physical concepts with neural networks	Jul 26, 2018	Representation Learningscientific discovery	CodeCode Available	5
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Apr 30, 2020	Causal InferencePoint Processes	CodeCode Available	5
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning	Jan 4, 2020	Deep LearningTime Series	CodeCode Available	5
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series	Oct 5, 2022	AstronomyDecoder	CodeCode Available	5
Tropical time series, iterated-sums signatures and quasisymmetric functions	Sep 17, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations	Apr 7, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
A fully automated periodicity detection in time series	May 1, 2019	ClusteringTime Series	CodeCode Available	5
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices	May 15, 2025	Activity RecognitionCode Generation	CodeCode Available	5
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification	Jun 25, 2019	AttributeCPU	CodeCode Available	5
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?	May 1, 2022	Decision MakingDeep Learning	CodeCode Available	5
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification	Jan 2, 2019	General Classificationimage-classification	CodeCode Available	5
Dilated Convolutional Neural Networks for Time Series Forecasting	Jan 2, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Detection of Structural Change in Geographic Regions of Interest by Self Organized Mapping: Las Vegas City and Lake Mead across the Years	Mar 29, 2018	QuantizationTime Series	CodeCode Available	5
Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case Study	Jul 26, 2019	Deep LearningTime Series Analysis	CodeCode Available	5
Detrended Partial-Cross-Correlation Analysis: A New Method for Analyzing Correlations in Complex System	Jan 30, 2015	Time Series Analysis	CodeCode Available	5
Twitter mood predicts the stock market	Oct 14, 2010	Decision MakingStock Market Prediction	CodeCode Available	5
A Framework for Imbalanced Time-series Forecasting	Jul 22, 2021	Time SeriesTime Series Analysis	CodeCode Available	5

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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