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 381–390 of 6748 papers

Title	Date	Tasks	Status	Hype
Euler State Networks: Non-dissipative Reservoir Computing	Mar 17, 2022	MemorizationTime Series	CodeCode Available	1
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series	Mar 17, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
SepTr: Separable Transformer for Audio Spectrogram Processing	Mar 17, 2022	Audio ClassificationSpeech Emotion Recognition	CodeCode Available	1
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding	Mar 17, 2022	Crop ClassificationTime Series	CodeCode Available	1
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting	Mar 15, 2022	SchedulingTime Series	CodeCode Available	1
Wasserstein Adversarial Transformer for Cloud Workload Prediction	Mar 12, 2022	PredictionTime Series	CodeCode Available	1
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19	Mar 8, 2022	Correlated Time Series ForecastingCOVID-19 Modelling	CodeCode Available	1
S-Rocket: Selective Random Convolution Kernels for Time Series Classification	Mar 7, 2022	Combinatorial Optimizationregression	CodeCode Available	1
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations	Mar 3, 2022	Decision MakingDisentanglement	CodeCode Available	1
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning	Mar 2, 2022	Representation LearningTime Series Analysis	CodeCode Available	1

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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