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 5001–5050 of 6748 papers

TitleStatusHype
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics—0
Aligned Multi-Task Gaussian Process—0
A Linear Transportation L^p Distance for Pattern Recognition—0
All-atom Molecular Dynamics Simulations of the Projection Domain of the Intrinsically Disordered htau40 Protein—0
All-Clear Flare Prediction Using Interval-based Time Series Classifiers—0
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction—0
A Statistical Recurrent Stochastic Volatility Model for Stock Markets—0
Alpha Discovery Neural Network based on Prior Knowledge—0
Alternating direction method of multipliers for penalized zero-variance discriminant analysis—0
A machine learning approach for forecasting hierarchical time series—0
A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style—0
A machine learning approach to itinerary-level booking prediction in competitive airline markets—0
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes—0
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics—0
A machine learning search for optimal GARCH parameters—0
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images—0
American Hate Crime Trends Prediction with Event Extraction—0
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data—0
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice—0
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks—0
A Method for Massively Parallel Analysis of Time Series—0
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory—0
A metric to compare the anatomy variation between image time series—0
A minor extension of the logistic equation for growth of word counts on online media: Parametric description of diversity of growth phenomena in society—0
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting—0
A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings—0
Among-site variability in the stochastic dynamics of East African coral reefs—0
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation—0
AMP: a new time-frequency feature extraction method for intermittent time-series data—0
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade—0
A multifactorial evaluation framework for gene regulatory network reconstruction—0
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring—0
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture—0
A Multi-Modal and Multitask Benchmark in the Clinical Domain—0
A Multi-modal Deep Learning Model for Video Thumbnail Selection—0
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc—0
A multi-scale symmetry analysis of uninterrupted trends returns of daily financial indices—0
A Multi-Scale Tensor Network Architecture for Classification and Regression—0
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction—0
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network—0
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter—0
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments—0
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions—0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems—0
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation—0
An anomaly prediction framework for financial IT systems using hybrid machine learning methods—0
Show:102550
← PrevPage 101 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