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 1476–1500 of 6748 papers

Title	Date	Tasks	Status	Score
Continuous Meta-Learning without Tasks	Dec 18, 2019	image-classificationImage Classification	CodeCode Available	5
Extracting Relationships by Multi-Domain Matching	Dec 1, 2018	Domain AdaptationTime Series	CodeCode Available	5
Continuous-time convolutions model of event sequences	Feb 13, 2023	modelTime Series	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
An Operator Theoretic Approach for Analyzing Sequence Neural Networks	Feb 15, 2021	ECG ClassificationSentiment Analysis	CodeCode Available	5
Explaining Deep Classification of Time-Series Data with Learned Prototypes	Apr 18, 2019	ClassificationDecision Making	CodeCode Available	5
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification	Jan 30, 2018	EEGElectroencephalogram (EEG)	CodeCode Available	5
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data	Nov 18, 2020	Decision MakingICU Admission	CodeCode Available	5
Explainable time series tweaking via irreversible and reversible temporal transformations	Sep 13, 2018	General ClassificationTime Series	CodeCode Available	5
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data	May 28, 2019	PredictionTime Series	CodeCode Available	5
Chemical Integration of ODEs using Idealized Abstract Solutions	Jan 23, 2023	Time SeriesTime Series Analysis	CodeCode Available	5
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow	Nov 8, 2018	Cardiac SegmentationGeneral Classification	CodeCode Available	5
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction	Nov 26, 2020	PredictionTime Series	CodeCode Available	5
Fast and Accurate Time Series Classification with WEASEL	Jan 26, 2017	ClassificationGeneral Classification	CodeCode Available	5
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks	Jul 6, 2020	Graph Neural NetworkTime Series	CodeCode Available	5
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs	Feb 25, 2022	SchedulingTime Series	CodeCode Available	5
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification	Aug 9, 2019	General ClassificationHeart Rate Variability	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	CodeCode Available	5
Exoplanet Detection using Machine Learning	Nov 28, 2020	BIG-bench Machine LearningTime Series Analysis	CodeCode Available	5
An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial data	Jan 20, 2025	Gaussian Processesparameter estimation	CodeCode Available	5
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data	Jul 6, 2021	Change Point DetectionData Augmentation	CodeCode Available	5
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour	Jan 31, 2023	Autonomous DrivingCausal Discovery	CodeCode Available	5
Memory-Gated Recurrent Networks	Dec 24, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
A Joint-Entropy Approach To Time-series Classification	Mar 11, 2022	ClassificationTime Series	CodeCode Available	5
Evaluating time series forecasting models: An empirical study on performance estimation methods	May 28, 2019	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