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 501550 of 6748 papers

TitleStatusHype
Towards a Rigorous Evaluation of Time-series Anomaly DetectionCode1
NTS-NOTEARS: Learning Nonparametric DBNs With Prior KnowledgeCode1
Attentive Neural Controlled Differential Equations for Time-series Classification and ForecastingCode1
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life predictionCode1
MrSQM: Fast Time Series Classification with Symbolic RepresentationsCode1
Transformer Networks for Data Augmentation of Human Physical Activity RecognitionCode1
A Multi-view Multi-task Learning Framework for Multi-variate Time Series ForecastingCode1
Bilinear Input Normalization for Neural Networks in Financial ForecastingCode1
TCCT: Tightly-Coupled Convolutional Transformer on Time Series ForecastingCode1
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scalesCode1
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic PredictionCode1
AGNet: Weighing Black Holes with Deep LearningCode1
Data-driven discovery of intrinsic dynamicsCode1
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia ClassificationCode1
Predicting in-hospital mortality by combining clinical notes with time-series dataCode1
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural NetworksCode1
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-SeriesCode1
Temporal Dependencies in Feature Importance for Time Series PredictionsCode1
Generative adversarial networks in time series: A survey and taxonomyCode1
Heteroscedastic Temporal Variational Autoencoder For Irregular Time SeriesCode1
Long-term series forecasting with Query Selector -- efficient model of sparse attentionCode1
STRODE: Stochastic Boundary Ordinary Differential EquationCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Neural Contextual Anomaly Detection for Time SeriesCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution TestsCode1
Integrating LSTMs and GNNs for COVID-19 ForecastingCode1
Deep Autoregressive Models with Spectral AttentionCode1
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and ResultsCode1
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based EnsemblesCode1
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic HardwareCode1
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market OpportunitiesCode1
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationCode1
Keiki: Towards Realistic Danmaku Generation via Sequential GANsCode1
Spatiotemporal information conversion machine for time-series predictionCode1
Online Metro Origin-Destination Prediction via Heterogeneous Information AggregationCode1
Market regime classification with signaturesCode1
Continuous Latent Process FlowsCode1
Time-Series Representation Learning via Temporal and Contextual ContrastingCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
Accelerating Recurrent Neural Networks for Gravitational Wave ExperimentsCode1
Continuous-Time Deep Glioma Growth ModelsCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
Unsupervised Speech Enhancement using Dynamical Variational Auto-EncodersCode1
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised LearningCode1
Neural Controlled Differential Equations for Online Prediction TasksCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
TS2Vec: Towards Universal Representation of Time SeriesCode1
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable StocksCode1
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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