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 1401–1450 of 6748 papers

TitleStatusHype
A Short Image Series Based Scheme for Time Series Digital Image Correlation—0
A Shapelet Transform for Multivariate Time Series Classification—0
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture—0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting—0
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring—0
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings—0
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports—0
A sequential approach to calibrate ecosystem models with multiple time series data—0
A Sequence-Aware Recommendation Method Based on Complex Networks—0
A data-informed mathematical model of microglial cell dynamics during ischemic stroke in the middle cerebral artery—0
A Basic Recurrent Neural Network Model—0
Daily Middle-Term Probabilistic Forecasting of Power Consumption in North-East England—0
Dalek -- a deep-learning emulator for TARDIS—0
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade—0
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping—0
A data imputation method for multivariate time series based on generative adversarial network—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
AMP: a new time-frequency feature extraction method for intermittent time-series data—0
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls—0
Cyclical Electromechanical Error Denial System Using Matrix Profile—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Conformalized density- and distance-based anomaly detection in time-series data—0
A self-organising eigenspace map for time series clustering—0
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks—0
Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors—0
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes—0
Configuration and Collection Factors for Side-Channel Disassembly—0
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation—0
Confident Kernel Sparse Coding and Dictionary Learning—0
Confidence Interval Construction for Multivariate time series using Long Short Term Memory Network—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
A Scrambled Method of Moments—0
A Self-Supervised Framework for Function Learning and Extrapolation—0
Curriculum Learning in Deep Neural Networks for Financial Forecasting—0
Conformal Prediction with Temporal Quantile Adjustments—0
Confidence-Guided Learning Process for Continuous Classification of Time Series—0
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data—0
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction—0
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals—0
A Cellular Automaton Model for the generation of Brainwaves—0
A multifactorial evaluation framework for gene regulatory network reconstruction—0
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints—0
Constraints on parameter choices for successful reservoir computing—0
Constructing Time Series Shape Association Measures: Minkowski Distance and Data Standardization—0
ASAT: Adaptively Scaled Adversarial Training in Time Series—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