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 based Multi-Modal New Product Sales Time-series Forecasting	Aug 23, 2020	DecoderNew Product Sales Forecasting	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
Deep Stock Predictions	Jun 8, 2020	Portfolio OptimizationPrediction	CodeCode Available	1	5
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric 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
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets	Sep 28, 2021	ClassificationTime Series	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
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm	Sep 9, 2022	ClusteringClustering Algorithms Evaluation	CodeCode Available	1	5
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case	Jan 23, 2020	BIG-bench Machine LearningTime 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
DeepVATS: Deep Visual Analytics for Time Series	Feb 8, 2023	Time SeriesTime Series Analysis	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
Detection of gravitational-wave signals from binary neutron star mergers using machine learning	Jun 2, 2020	BIG-bench Machine LearningSensitivity	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
Time series forecasting with Gaussian Processes needs priors	Sep 17, 2020	Gaussian ProcessesTime Series	CodeCode Available	1	5
A biologically plausible neural network for Slow Feature Analysis	Oct 23, 2020	HippocampusTime Series	CodeCode Available	1	5
Diffusion Generative Models in Infinite Dimensions	Dec 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations	Mar 3, 2022	Decision MakingDisentanglement	CodeCode Available	1	5
Convolutional Radio Modulation Recognition Networks	Feb 12, 2016	General ClassificationTime Series	CodeCode Available	1	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