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 1751–1800 of 6748 papers

TitleStatusHype
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach—0
Features Fusion Framework for Multimodal Irregular Time-series Events—0
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems—0
Learning Differential Operators for Interpretable Time Series Modeling—0
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series—0
An Explainer for Temporal Graph Neural Networks—0
Estimation of Correlation Matrices from Limited time series Data using Machine Learning—0
Universal Fourier Attack for Time Series—0
In Situ 3D Spatiotemporal Measurement of Soluble Biomarkers in Organoid Culture—0
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information—0
Progressive Fusion for Multimodal Integration—0
Learning Multiscale Non-stationary Causal Structures—0
Long-term hail risk assessment with deep neural networks—0
Large-step neural network for learning the symplectic evolution from partitioned data—0
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting—0
Modeling Volatility and Dependence of European Carbon and Energy Prices—0
Denoising Architecture for Unsupervised Anomaly Detection in Time-SeriesCode0
Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model—0
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences—0
High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach—0
Learning Informative Health Indicators Through Unsupervised Contrastive Learning—0
A restricted eigenvalue condition for unit-root non-stationary data—0
Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings—0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
A statistical test of market efficiency based on information theory—0
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space ModelsCode0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
Spectrum of non-Hermitian deep-Hebbian neural networks—0
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory—0
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial VulnerabilityCode0
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations—0
Time-to-Green predictions for fully-actuated signal control systems with supervised learning—0
Ordinal analysis of lexical patterns—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological ForecastingCode0
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience—0
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization—0
Predicting the Biological Classification of Cell-Cycle Regulated Genes of Saccharomyces cerevisiae using Community Detection Algorithms on Gene Co-expression Networks—0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
Towards an AI-based Early Warning System for Bridge Scour—0
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram—0
Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach—0
A decomposition of book structure through ousiometric fluctuations in cumulative word-time—0
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders PredictionCode0
Learning-based estimation of in-situ wind speed from underwater acoustics—0
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution—0
Network inference via process motifs for lagged correlation in linear stochastic processes—0
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation—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