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 4161–4170 of 6748 papers

Title	Date	Tasks	Status
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction	Jul 6, 2019	PredictionTime Series	—Unverified
Taking ROCKET on an efficiency mission: A distributed solution for fast and accurate multivariate time series classification	Sep 29, 2021	feature selectionTime Series	—Unverified
Taming the Long Tail of Deep Probabilistic Forecasting	Feb 27, 2022	PrognosisTime Series	—Unverified
Tampered VAE for Improved Satellite Image Time Series Classification	Mar 30, 2022	ClassificationCrop Classification	—Unverified
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting	Sep 29, 2021	Multivariate Time Series ForecastingTime Series	—Unverified
Targeted Attacks on Timeseries Forecasting	Jan 27, 2023	Adversarial AttackTime Series	—Unverified
Task-aware Similarity Learning for Event-triggered Time Series	Jul 17, 2022	Anomaly DetectionTime Series	—Unverified
Task-Oriented Prediction and Communication Co-Design for Haptic Communications	Feb 21, 2023	PredictionTime Series	—Unverified
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach	Oct 10, 2018	CPUIncremental Learning	—Unverified
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy	May 17, 2018	Demand ForecastingTime Series Analysis	—Unverified

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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