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 3441–3450 of 6748 papers

Title	Date	Tasks	Status
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution	Dec 19, 2021	Representation LearningTime Series	—Unverified
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers	Dec 2, 2016	Time SeriesTime Series Analysis	—Unverified
Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques	Sep 18, 2022	Bayesian OptimizationDeep Learning	—Unverified
Predicting Performance using Approximate State Space Model for Liquid State Machines	Jan 18, 2019	speech-recognitionSpeech Recognition	—Unverified
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks	Sep 4, 2017	Missing ValuesTime Series	—Unverified
Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues	Oct 1, 2015	Sentiment AnalysisStock Prediction	—Unverified
Predicting Student Performance in an Educational Game Using a Hidden Markov Model	Apr 24, 2019	Time SeriesTime Series Analysis	—Unverified
Predicting subscriber usage: Analyzing multi-dimensional time-series using Convolutional Neural Networks	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values	Sep 27, 2022	Time Series Analysis	—Unverified
Predicting Temperature of Major Cities Using Machine Learning and Deep Learning	Sep 23, 2023	Future predictionPrediction	—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