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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

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Showing 3101–3150 of 6748 papers

TitleStatusHype
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy OptimizationCode0
Accelerating Neural ODEs Using Model Order Reduction—0
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network—0
High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding—0
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State—0
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
Can we imitate the principal investor's behavior to learn option price?—0
Matched Illumination Waveforms using Multi-Tone Sinusoidal Frequency Modulation—0
Three Remarks On Asset Pricing—0
Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning—0
Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing—0
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Entropy-based Discovery of Summary Causal Graphs in Time Series—0
RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores—0
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy—0
Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400—0
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series—0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
Periodic Freight Demand Estimation for Large-scale Tactical Planning—0
StackVAE-G: An efficient and interpretable model for time series anomaly detectionCode0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
The relationship between economic growth and environment. Testing the EKC hypothesis for Latin American countries—0
Univariate Long-Term Municipal Water Demand Forecasting—0
Learning Representations for Incomplete Time Series Clustering—0
Identification robust inference for moments based analysis of linear dynamic panel data models—0
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks—0
Learning Disentangled Representations for Time Series—0
Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices—0
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting—0
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory—0
Classifying Contaminated Cell Cultures using Time Series Features—0
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivityCode0
Long Short-term Memory RNN—0
Edges in Brain Networks: Contributions to Models of Structure and Function—0
Estimation and Quantization of Expected Persistence Diagrams—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data—0
Symbol Dynamics, Information theory and Complexity of Economic time series—0
On projection methods for functional time series forecastingCode0
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification—0
Segmenting Hybrid Trajectories using Latent ODEsCode0
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an exampleCode0
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media—0
COVID-19: The extraction of the effective reproduction number from the time series of new cases—0
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows—0
Apply Artificial Neural Network to Solving Manpower Scheduling ProblemCode0
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified