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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5801–5850 of 6748 papers

TitleStatusHype
Long-term Forecasting using Higher Order Tensor RNNsCode0
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]—0
Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute—0
Elucidation of time-dependent systems biology cell response patterns with time course network enrichment—0
Transform-Invariant Non-Parametric Clustering of Covariance Matrices and its Application to Unsupervised Joint Segmentation and Action DiscoveryCode0
Fine-grained Pattern Matching Over Streaming Time Series—0
Segment Parameter Labelling in MCMC Mean-Shift Change Detection—0
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks—0
Calibration of Machine Learning Classifiers for Probability of Default Modelling—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Exact Mean Computation in Dynamic Time Warping Spaces—0
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series—0
Benchmark of Deep Learning Models on Large Healthcare MIMIC DatasetsCode0
Learning compressed representations of blood samples time series with missing dataCode0
The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications—0
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data AnalysisCode0
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time SeriesCode0
Deep Gaussian Covariance Network—0
Time Series Prediction : Predicting Stock Price—0
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model—0
Potential Conditional Mutual Information: Estimators, Properties and Applications—0
Deep Learning in Multiple Multistep Time Series Prediction—0
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning—0
Neuro Fuzzy Modelling for Prediction of Consumer Price Index—0
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering ApproachCode0
Bayesian Alignments of Warped Multi-Output Gaussian Processes—0
Solving differential equations with unknown constitutive relations as recurrent neural networks—0
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data—0
Forecasting Player Behavioral Data and Simulating in-Game Events—0
Multifractal analysis of the time series of daily means of wind speed in complex regions—0
Indexing the Event Calculus with Kd-trees to Monitor Diabetes—0
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast TasksCode0
Classification of Time-Series Images Using Deep Convolutional Neural NetworksCode0
Wikipedia graph mining: dynamic structure of collective memoryCode0
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow PredictionCode0
Model-free prediction of noisy chaotic time series by deep learning—0
Learning the Exact Topology of Undirected Consensus Networks—0
Comparison of PCA with ICA from data distribution perspective—0
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality—0
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection—0
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data—0
House Price Prediction Using LSTM—0
When Traffic Flow Prediction Meets Wireless Big Data Analytics—0
Feature-based time-series analysis—0
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data—0
Kinetic theory and Brazilian income distribution—0
A textual transform of multivariate time-series for prognostics—0
Nonnegative matrix factorization with side information for time series recovery and prediction—0
Deep-Learnt Classification of Light CurvesCode0
A new approach to the modeling of financial volumes—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