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 371–380 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Bilinear Input Normalization for Neural Networks in Financial Forecasting	Sep 1, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting	Sep 2, 2021	AttributeMulti-Task Learning	CodeCode Available	1	5
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting	Mar 2, 2022	Load ForecastingTime Series	CodeCode Available	1	5
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data	Jul 24, 2020	Activity RecognitionChange Point Detection	CodeCode Available	1	5
Euler State Networks: Non-dissipative Reservoir Computing	Mar 17, 2022	MemorizationTime Series	CodeCode Available	1	5
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark	Oct 12, 2015	Anomaly DetectionTime Series	CodeCode Available	1	5
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications	Jun 17, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1	5
BolT: Fused Window Transformers for fMRI Time Series Analysis	May 23, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Deep Learning Approach to Analyzing Continuous-Time Systems	Sep 25, 2022	Deep LearningTime Series	CodeCode Available	1	5
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction	Feb 9, 2020	ICU AdmissionTime Series Analysis	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