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 2511–2520 of 6748 papers

Title	Date	Tasks	Status
Causal Structural Learning from Time Series: A Convex Optimization Approach	Jan 26, 2023	scientific discoveryTime Series	—Unverified
Ensemble Grammar Induction For Detecting Anomalies in Time Series	Jan 29, 2020	Anomaly DetectionEnsemble Learning	—Unverified
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection	Sep 1, 2021	Dynamic Time WarpingTemplate Matching	—Unverified
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning	Oct 12, 2017	Multiple Instance LearningTime Series	—Unverified
Explaining Outcomes of Multi-Party Dialogues using Causal Learning	May 3, 2021	Time SeriesTime Series Analysis	—Unverified
Explaining Time Series by Counterfactuals	Sep 25, 2019	counterfactualFeature Importance	—Unverified
Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices	May 17, 2021	Time SeriesTime Series Analysis	—Unverified
Explicit Domain Adaptation with Loosely Coupled Samples	Apr 24, 2020	Autonomous DrivingDomain Adaptation	—Unverified
Explicit-Duration Markov Switching Models	Sep 12, 2019	Time Series Analysis	—Unverified
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods	Mar 29, 2020	Demand ForecastingDiversity	—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