SOTAVerified

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 2451–2500 of 6748 papers

TitleStatusHype
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics—0
Deep Sequence Modeling: Development and Applications in Asset Pricing—0
ASAT: Adaptively Scaled Adversarial Training in Time Series—0
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic PredictionCode1
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves—0
Construction Cost Index Forecasting: A Multi-feature Fusion Approach—0
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series—0
XAI Methods for Neural Time Series Classification: A Brief Review—0
Stack Index Prediction Using Time-Series Analysis—0
Federated Variational Learning for Anomaly Detection in Multivariate Time Series—0
Transformers predicting the future. Applying attention in next-frame and time series forecastingCode0
AGNet: Weighing Black Holes with Deep LearningCode1
A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders—0
Time delay estimation of traffic congestion propagation due to accidents based on statistical causalityCode0
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection—0
Deep Learning-based Time-varying Channel Estimation for RIS Assisted Communication—0
Data-driven discovery of intrinsic dynamicsCode1
IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
AdaRNN: Adaptive Learning and Forecasting of Time SeriesCode0
Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable DataCode0
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing—0
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series—0
Active Learning of Driving Scenario Trajectories—0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Local Exceptionality Detection in Time Series Using Subgroup Discovery—0
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse—0
Multimodal Meta-Learning for Time Series Regression—0
Pattern Recognition in Vital Signs Using Spectrograms—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series—0
Bayesian forecast combination using time-varying features—0
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst DetectionCode0
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning—0
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data—0
Dynamic Prediction Model for NOx Emission of SCR System Based on Hybrid Data-driven Algorithms—0
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions—0
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators—0
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series—0
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network—0
Using Deep Learning to Correlate Reddit Posts with Economic Time Series During the COVID-19 Pandemic—0
Predicting in-hospital mortality by combining clinical notes with time-series dataCode1
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia ClassificationCode1
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps—0
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural NetworksCode1
Opinion Prediction with User FingerprintingCode0
Statistical learning method for predicting density-matrix based electron dynamics—0
Random vector functional link neural network based ensemble deep learning for short-term load forecasting—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