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

Showing 66016650 of 6748 papers

TitleStatusHype
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time SeriesCode0
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their InteractionsCode0
Multilevel Wavelet Decomposition Network for Interpretable Time Series AnalysisCode0
PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic SystemsCode0
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devicesCode0
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed PredictionCode0
A New Valuation Measure for the Stock MarketCode0
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time SeriesCode0
Multimodal Estimation of Change Points of Physiological Arousal in DriversCode0
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational CostsCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample TestCode0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
Temporal Multiresolution Graph Neural Networks For Epidemic PredictionCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Chemical Integration of ODEs using Idealized Abstract SolutionsCode0
Ensemble Sales Forecasting Study in Semiconductor IndustryCode0
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programmingCode0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
Change-Point Detection in Time-Series Data by Relative Density-Ratio EstimationCode0
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference TreesCode0
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard AssessmentCode0
EnK: Encoding time-information in convolutionCode0
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in WikipediaCode0
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataCode0
Sinkhorn Divergence of Topological Signature Estimates for Time Series ClassificationCode0
Temporal Pattern Attention for Multivariate Time Series ForecastingCode0
Dataset: Rare Event Classification in Multivariate Time SeriesCode0
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
Quantifying Emergent Behavior of Autonomous RobotsCode0
Change point detection for graphical models in the presence of missing valuesCode0
Change of human mobility during COVID-19: A United States case studyCode0
A deep convolutional neural network that is invariant to time rescalingCode0
Multiple species animal movements: network properties, disease dynamic and the impact of targeted control actionsCode0
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEGCode0
Temporal patterns in insulin needs for Type 1 diabetesCode0
Quantifying the dynamics of topical fluctuations in languageCode0
Challenges in detecting evolutionary forces in language change using diachronic corporaCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Sketches for Time-Dependent Machine LearningCode0
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized ModelsCode0
Enhancing Time Series Momentum Strategies Using Deep Neural NetworksCode0
Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiologyCode0
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of SnapchatCode0
Patch LearningCode0
Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesCode0
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAECode0
Multi-Scale Convolutional Neural Networks for Time Series ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified