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 126–150 of 6748 papers

TitleStatusHype
A biologically plausible neural network for Slow Feature AnalysisCode1
Closed-Form Diffeomorphic Transformations for Time Series AlignmentCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
A bio-inspired bistable recurrent cell allows for long-lasting memoryCode1
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware DetectionCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
Exathlon: A Benchmark for Explainable Anomaly Detection over Time SeriesCode1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategyCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural NetworksCode1
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
An Evaluation of Change Point Detection AlgorithmsCode1
CKConv: Continuous Kernel Convolution For Sequential DataCode1
ClaSP -- Parameter-free Time Series SegmentationCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
A Neural PDE Solver with Temporal Stencil ModelingCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
ClaSP - Time Series SegmentationCode1
The Signature Kernel is the solution of a Goursat PDECode1
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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