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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 751–800 of 6748 papers

TitleStatusHype
Aligning Time Series on Incomparable SpacesCode1
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time SeriesCode1
Predicting Temporal Sets with Deep Neural NetworksCode1
Efficient implementations of echo state network cross-validationCode1
Monash University, UEA, UCR Time Series Extrinsic Regression ArchiveCode1
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series DataCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Temporal Phenotyping using Deep Predictive Clustering of Disease ProgressionCode1
Online Change Point Detection in Molecular Dynamics With Optical Random FeaturesCode1
COT-GAN: Generating Sequential Data via Causal Optimal TransportCode1
Inductive Graph Neural Networks for Spatiotemporal KrigingCode1
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor ProjectionsCode1
Reservoir Computing meets Recurrent Kernels and Structured TransformsCode1
A bio-inspired bistable recurrent cell allows for long-lasting memoryCode1
Cost-effective Interactive Attention Learning with Neural Attention ProcessesCode1
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact DataCode1
Conditional Sig-Wasserstein GANs for Time Series GenerationCode1
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-SeriesCode1
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and FilteringCode1
Deep Stock PredictionsCode1
Learning Long-Term Dependencies in Irregularly-Sampled Time SeriesCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
Joint learning of variational representations and solvers for inverse problems with partially-observed dataCode1
Interpretable Time-series Classification on Few-shot SamplesCode1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
Detection of gravitational-wave signals from binary neutron star mergers using machine learningCode1
A Generalised Signature Method for Multivariate Time Series Feature ExtractionCode1
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic RepresentationsCode1
Machine Learning Time Series Regressions with an Application to NowcastingCode1
Generalised Interpretable Shapelets for Irregular Time SeriesCode1
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksCode1
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor DataCode1
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial NetworkCode1
Neural Controlled Differential Equations for Irregular Time SeriesCode1
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 StudyCode1
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information TransformationCode1
RED: Deep Recurrent Neural Networks for Sleep EEG Event DetectionCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
AtsPy: Automated Time Series Forecasting in PythonCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease ProgressionCode1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
Deep ConvLSTM with self-attention for human activity decoding using wearablesCode1
On time series representations for multi-label NILMCode1
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWBCode1
Forecasting in Non-stationary Environments with Fuzzy Time SeriesCode1
Correlation-aware Unsupervised Change-point Detection via Graph Neural NetworksCode1
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time seriesCode1
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative TeacherCode1
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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