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 226–250 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping	Jun 12, 2023	Correlated Time Series ForecastingRepresentation Learning	CodeCode Available	1	5
Adversarial Examples in Deep Learning for Multivariate Time Series Regression	Sep 24, 2020	Adversarial AttackDeep Learning	CodeCode Available	1	5
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data	Jul 20, 2020	Few-Shot LearningMulti-Task Learning	CodeCode Available	1	5
Attention based Multi-Modal New Product Sales Time-series Forecasting	Aug 23, 2020	DecoderNew Product Sales Forecasting	CodeCode Available	1	5
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting	Sep 4, 2021	Irregular Time SeriesRepresentation Learning	CodeCode Available	1	5
COT-GAN: Generating Sequential Data via Causal Optimal Transport	Jun 15, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
Adversarial Sparse Transformer for Time Series Forecasting	Dec 1, 2020	Multivariate Time Series ForecastingPrediction	CodeCode Available	1	5
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1	5
DeepVARwT: Deep Learning for a VAR Model with Trend	Sep 21, 2022	Deep LearningTime Series	CodeCode Available	1	5
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm	Sep 9, 2022	ClusteringClustering Algorithms Evaluation	CodeCode Available	1	5
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation	Oct 5, 2022	Anomaly DetectionDensity Estimation	CodeCode Available	1	5
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets	Sep 28, 2021	ClassificationTime Series	CodeCode Available	1	5
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series	Oct 10, 2020	Anomaly DetectionTime Series	CodeCode Available	1	5
Convolution-enhanced Evolving Attention Networks	Dec 16, 2022	image-classificationImage Classification	CodeCode Available	1	5
Automatic Change-Point Detection in Time Series via Deep Learning	Nov 7, 2022	Change Point DetectionDeep Learning	CodeCode Available	1	5
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data	May 5, 2022	BIG-bench Machine LearningFeature Importance	CodeCode Available	1	5
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data	Sep 12, 2020	DenoisingDiversity	CodeCode Available	1	5
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality	Mar 11, 2021	Scene UnderstandingTime Series	CodeCode Available	1	5
Automatic Posterior Transformation for Likelihood-Free Inference	May 17, 2019	Bayesian InferenceTime Series	CodeCode Available	1	5
A biologically plausible neural network for Slow Feature Analysis	Oct 23, 2020	HippocampusTime Series	CodeCode Available	1	5
Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network	Feb 20, 2020	Time Series Analysis	CodeCode Available	1	5
Diffusion models for missing value imputation in tabular data	Oct 31, 2022	ImputationMissing Values	CodeCode Available	1	5
Convolutional Radio Modulation Recognition Networks	Feb 12, 2016	General ClassificationTime Series	CodeCode Available	1	5

Show:10 25 50

← PrevPage 10 of 270Next →

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