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 726–750 of 6748 papers

Title	Date	Tasks	Status	Hype
Random Forests for dependent data	Jul 30, 2020	Decision MakingGaussian Processes	CodeCode Available	1
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting	Jul 30, 2020	ManagementTime Series	CodeCode Available	1
Calibration of Google Trends Time Series	Jul 27, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data	Jul 24, 2020	Activity RecognitionChange Point Detection	CodeCode Available	1
Deep Dynamic Factor Models	Jul 23, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
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
COVID-19 Data Analysis and Forecasting: Algeria and the World	Jul 19, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Modeling Financial Time Series using LSTM with Trainable Initial Hidden States	Jul 14, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Fast Variational Learning in State-Space Gaussian Process Models	Jul 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Long Short-Term Memory Spiking Networks and Their Applications	Jul 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Learning Differential Equations that are Easy to Solve	Jul 9, 2020	Density EstimationTime Series	CodeCode Available	1
Few-Shot One-Class Classification via Meta-Learning	Jul 8, 2020	Anomaly DetectionClassification	CodeCode Available	1
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction	Jul 7, 2020	CPUTime Series Analysis	CodeCode Available	1
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity	Jul 7, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Leveraging Class Hierarchies with Metric-Guided Prototype Learning	Jul 6, 2020	General ClassificationSemantic Segmentation	CodeCode Available	1
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Jul 6, 2020	Graph GenerationGraph Neural Network	CodeCode Available	1
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach	Jul 4, 2020	BIG-bench Machine LearningClassification	CodeCode Available	1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series	Jul 1, 2020	Earth ObservationTime Series	CodeCode Available	1
Conditional GAN for timeseries generation	Jun 30, 2020	Generative Adversarial NetworkTime Series	CodeCode Available	1
Subject-Aware Contrastive Learning for Biosignals	Jun 30, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1
MTSS-GAN: Multivariate Time Series Simulation Generative Adversarial Networks	Jun 26, 2020	Generative Adversarial NetworkImage Generation	CodeCode Available	1
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
SAR2SAR: a semi-supervised despeckling algorithm for SAR images	Jun 26, 2020	DenoisingImage Denoising	CodeCode Available	1
Time Series Extrinsic Regression	Jun 23, 2020	regressionTime Series	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1

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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