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 3541–3550 of 6748 papers

Title	Date	Tasks	Status
Public Transit Arrival Prediction: a Seq2Seq RNN Approach	Oct 4, 2022	DecoderMachine Translation	—Unverified
PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series	Dec 20, 2021	Time SeriesTime Series Analysis	—Unverified
Pyramid Recurrent Neural Networks for Multi-Scale Change-Point Detection	May 1, 2019	Activity RecognitionChange Point Detection	—Unverified
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding	Oct 21, 2024	Feature ImportanceTime Series Analysis	—Unverified
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis	Jul 25, 2024	Quantum Machine LearningTime Series	—Unverified
Quadratic Hawkes processes for financial prices	Sep 25, 2015	Time SeriesTime Series Analysis	—Unverified
Deep Metric Learning Model for Imbalanced Fault Diagnosis	Jul 8, 2021	Fault Diagnosisimbalanced classification	—Unverified
Qualitative Assessment of Recurrent Human Motion	Mar 7, 2017	Time SeriesTime Series Analysis	—Unverified
Quant GANs: Deep Generation of Financial Time Series	Jul 15, 2019	Time SeriesTime Series Analysis	—Unverified
Quantification in-the-wild: data-sets and baselines	Oct 16, 2015	parameter estimationTime Series	—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