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 6601–6650 of 6748 papers

TitleStatusHype
Exploring the interpretability of LSTM neural networks over multi-variable data—0
Exploring the representativeness of the M5 competition data—0
Exploring time-series motifs through DTW-SOM—0
Exploring Transfer Function Nonlinearity in Echo State Networks—0
Exponential inequalities for nonstationary Markov Chains—0
Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side—0
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint—0
Expressway visibility estimation based on image entropy and piecewise stationary time series analysis—0
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series—0
Extending Deep Learning Models for Limit Order Books to Quantile Regression—0
Extension of causal decomposition in the mutual complex dynamic process—0
Extension of the Lagrange multiplier test for error cross-section independence to large panels with non normal errors—0
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow—0
Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes—0
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications—0
Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning—0
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data—0
Extreme-Long-short Term Memory for Time-series Prediction—0
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification—0
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs—0
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics—0
Facial Expression Classification Using Rotation Slepian-based Moment Invariants—0
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series—0
Factor Network Autoregressions—0
Fading of collective attention shapes the evolution of linguistic variants—0
Failure Analysis on Multivariate Time-series Data given Uncertain Labels—0
Application of Machine Learning to accidents detection at directional drilling—0
Fairness in Forecasting and Learning Linear Dynamical Systems—0
FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks—0
Fast Active Set Methods for Online Spike Inference from Calcium Imaging—0
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data—0
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast and Simple Optimization for Poisson Likelihood Models—0
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series—0
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates—0
Fast CRDNN: Towards on Site Training of Mobile Construction Machines—0
Fast Distribution Grid Line Outage Identification with μPMU—0
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks—0
Fast Function to Function Regression—0
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network—0
Fast Inference for Quantile Regression with Tens of Millions of Observations—0
Fast nonparametric clustering of structured time-series—0
Fast Partial Fourier Transform—0
Fast Robust Methods for Singular State-Space Models—0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Fast-Slow Streamflow Model Using Mass-Conserving LSTM—0
Fast Stability Scanning for Future Grid Scenario Analysis—0
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images—0
Fast Training Algorithms for Deep Convolutional Fuzzy Systems with Application to Stock Index Prediction—0
Show:102550
← PrevPage 133 of 135Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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