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 6101–6125 of 6748 papers

TitleStatusHype
A Review of Intelligent Practices for Irrigation Prediction—0
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification—0
Evaluating the Performance of ANN Prediction System at Shanghai Stock Market in the Period 21-Sep-2016 to 11-Oct-2016—0
Intra-day Activity Better Predicts Chronic Conditions—0
Positive blood culture detection in time series data using a BiLSTM network—0
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers—0
Fast Active Set Methods for Online Spike Inference from Calcium Imaging—0
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction—0
Graphical Time Warping for Joint Alignment of Multiple Curves—0
Probabilistic Broken-Stick Model: A Regression Algorithm for Irregularly Sampled Data with Application to eGFR—0
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models—0
Complex-valued Gaussian Process Regression for Time Series Analysis—0
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data—0
Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series—0
Exploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response—0
Times series averaging and denoising from a probabilistic perspective on time-elastic kernelsCode0
Split-door criterion: Identification of causal effects through auxiliary outcomesCode0
Person Re-Identification by Unsupervised Video Matching—0
Multiple Time Series Ising Model for Financial Market Simulations—0
Probabilistic structure discovery in time series data—0
Time Series Structure Discovery via Probabilistic Program Synthesis—0
Time Series Classification from Scratch with Deep Neural Networks: A Strong BaselineCode3
Evaluating genetic drift in time-series evolutionary analysis—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