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 821–830 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data	Jul 24, 2020	Activity RecognitionChange Point Detection	CodeCode Available	1	5
Attention based Multi-Modal New Product Sales Time-series Forecasting	Aug 23, 2020	DecoderNew Product Sales Forecasting	CodeCode Available	1	5
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment	Aug 17, 2024	Anomaly DetectionEEG	CodeCode Available	1	5
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach	Feb 24, 2021	Federated LearningGenerative Adversarial Network	CodeCode Available	1	5
High-Dimensional Granger Causality Tests with an Application to VIX and News	Dec 13, 2019	regressionTime Series	CodeCode Available	1	5
Soil moisture estimation from Sentinel-1 interferometric observations over arid regions	Oct 18, 2022	Soil moisture estimationTime Series	CodeCode Available	1	5
SoMoFormer: Multi-Person Pose Forecasting with Transformers	Aug 30, 2022	Human Pose Forecastingmotion prediction	CodeCode Available	1	5
Source Model Selection for Deep Learning in the Time Series Domain	Jan 3, 2020	Model SelectionTime Series	CodeCode Available	1	5
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
AtsPy: Automated Time Series Forecasting in Python	May 14, 2020	SurveyTime Series	CodeCode Available	1	5

Show:10 25 50

← PrevPage 83 of 675Next →

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