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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5401–5450 of 6748 papers

TitleStatusHype
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting—0
Using Autoencoders To Learn Interesting Features For Detecting Surveillance Aircraft—0
Unified recurrent network for many feature types—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk—0
Multi-task Learning for Financial Forecasting—0
Exploring the interpretability of LSTM neural networks over multi-variable data—0
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis—0
Dataset: Rare Event Classification in Multivariate Time SeriesCode0
Temporal Relational Ranking for Stock PredictionCode0
Complex market dynamics in the light of random matrix theory—0
A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings—0
Unified recurrent neural network for many feature types—0
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia—0
Long-run dynamics of the U.S. patent classification system—0
Human activity recognition based on time series analysis using U-Net—0
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal DynamicsCode0
Ordinal Synchronization: Using ordinal patterns to capture interdependencies between time series—0
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm—0
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
Similarity measure for Public Persons—0
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman FiltersCode0
Random Warping Series: A Random Features Method for Time-Series EmbeddingCode0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Explainable time series tweaking via irreversible and reversible temporal transformationsCode0
Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesCode0
Temporal Pattern Attention for Multivariate Time Series ForecastingCode0
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product NetworksCode0
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data—0
Memristive LSTM network hardware architecture for time-series predictive modeling problem—0
Order book model with herd behavior exhibiting long-range memoryCode0
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping—0
Constrained Generation of Semantically Valid Graphs via Regularizing Variational AutoencodersCode0
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations—0
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters—0
MASA: Motif-Aware State Assignment in Noisy Time Series DataCode0
Scalable Learning in Reproducing Kernel Krein Spaces—0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing—0
Bayesian Nonparametric Spectral EstimationCode0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading—0
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services—0
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis—0
Elastic bands across the path: A new framework and methods to lower bound DTWCode0
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results—0
Exponential inequalities for nonstationary Markov Chains—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