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

Showing 48514900 of 6748 papers

TitleStatusHype
Linear Dynamics: Clustering without identificationCode0
Unsupervised Representation Learning and Anomaly Detection in ECG Sequences0
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads0
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial ForensicsCode0
Time Series Analysis of Big Data for Electricity Price and Demand to Find Cyber-Attacks part 2: Decomposition Analysis0
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing0
An anomaly prediction framework for financial IT systems using hybrid machine learning methods0
Multi-modal Predictive Models of Diabetes Progression0
Is type 1 diabetes a chaotic phenomenon?0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case StudyCode0
Scalable Dictionary Classifiers for Time Series ClassificationCode0
Classification of chaotic time series with deep learning0
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta LearningCode0
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural NetworkCode0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques0
Deep Generative Quantile-Copula Models for Probabilistic Forecasting0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices0
Time Series Analysis of Electricity Price and Demand to Find Cyber-attacks using Stationary Analysis0
Recurrent Neural Networks: An Embedded Computing Perspective0
Trading via Image ClassificationCode0
TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante0
Classification with the matrix-variate-t distribution0
Failure Analysis on Multivariate Time-series Data given Uncertain Labels0
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample DatasetsCode0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach0
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-IIICode0
A hybrid method of Exponential Smoothing and Recurrent Neural Networks for time series forecastingCode0
Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series0
Convolutional Reservoir Computing for World ModelsCode0
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis0
Meta-descent for Online, Continual Prediction0
Remaining Useful Lifetime Prediction via Deep Domain Adaptation0
End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker0
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks0
Dynamical Systems as Temporal Feature Spaces0
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset0
Quant GANs: Deep Generation of Financial Time Series0
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling0
An Artificial Spiking Quantum Neuron0
The Use of Gaussian Processes in System Identification0
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence ModelCode0
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks0
A machine learning framework for computationally expensive transient modelsCode0
Change point detection for graphical models in the presence of missing valuesCode0
Forecasting Time Series with VARMA Recursions on Graphs0
Time series cluster kernels to exploit informative missingness and incomplete label information0
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network0
GP-VAE: Deep Probabilistic Time Series ImputationCode0
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Benchmark Results

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