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 65016550 of 6748 papers

TitleStatusHype
Adversarial Attacks on Deep Models for Financial Transaction RecordsCode0
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture modelsCode0
ProActive: Self-Attentive Temporal Point Process Flows for Activity SequencesCode0
Classification of Time-Series Images Using Deep Convolutional Neural NetworksCode0
Trainable Time Warping: Aligning Time-Series in the Continuous-Time DomainCode0
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial ForensicsCode0
Modeling The Intensity Function Of Point Process Via Recurrent Neural NetworksCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based ModelCode0
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGANCode0
Deep learning approach to Fourier ptychographic microscopyCode0
Deep Learning Algorithms for Hedging with FrictionsCode0
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series PredictionCode0
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving GraphsCode0
Concurrent Neural Network : A model of competition between times seriesCode0
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary PerspectiveCode0
Deep Kalman FiltersCode0
Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem modelCode0
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time SeriesCode0
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix FactorizationCode0
Wikipedia graph mining: dynamic structure of collective memoryCode0
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through timeCode0
Automated data-driven approach for gap filling in the time series using evolutionary learningCode0
Modelling stellar activity with Gaussian process regression networksCode0
Probabilistic sequential matrix factorizationCode0
Probabilistic Spatial Transformer NetworksCode0
Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising ModelCode0
Temporal Attention augmented Bilinear Network for Financial Time-Series Data AnalysisCode0
Model Selection for Time Series Forecasting: Empirical Analysis of Different EstimatorsCode0
Model selection in reconciling hierarchical time seriesCode0
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating MechanismsCode0
Temporal Attention Augmented Bilinear Network for Financial Time Series Data AnalysisCode0
Deep Imbalanced Time-series Forecasting via Local Discrepancy DensityCode0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
Deep Hedging: Learning to Simulate Equity Option MarketsCode0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Classification of Time-Series Data Using Boosted Decision TreesCode0
AutoFITS: Automatic Feature Engineering for Irregular Time SeriesCode0
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian MutationCode0
Probability Paths and the Structure of Predictions over TimeCode0
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligenceCode0
VenoMave: Targeted Poisoning Against Speech RecognitionCode0
The CoSTAR Block Stacking Dataset: Learning with Workspace ConstraintsCode0
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver BehaviourCode0
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Process Model Forecasting Using Time Series Analysis of Event Sequence DataCode0
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic SystemsCode0
Weighted Tensor Completion for Time-Series Causal InferenceCode0
Show:102550
← PrevPage 131 of 135Next →

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