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 9511000 of 6748 papers

TitleStatusHype
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis0
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation0
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation0
Noumenal Labs White Paper: How To Build A Brain0
Comprehensive Review of Neural Differential Equations for Time Series Analysis0
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating MechanismsCode0
Time Series Analysis of Rankings: A GARCH-Type Approach0
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data0
LAST SToP For Modeling Asynchronous Time Series0
Position: Empowering Time Series Reasoning with Multimodal LLMs0
Large Language Models are Few-shot Multivariate Time Series Classifiers0
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized ModelsCode0
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining0
An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial dataCode0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing0
Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained EnvironmentsCode0
The Utility of Hyperplane Angle Metric in Detecting Financial Concept DriftCode0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation0
Behavioural Analytics: Mathematics of the Mind0
Time Series Language Model for Descriptive Caption Generation0
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionCode0
CORAL: Concept Drift Representation Learning for Co-evolving Time-series0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
AverageTime: Enhance Long-Term Time Series Forecasting with Simple AveragingCode0
Econometric Analysis of Pandemic Disruption and Recovery Trajectory in the U.S. Rail Freight Industry0
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models0
A Survey on Time-Series Distance Measures0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting0
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations0
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation0
GG-SSMs: Graph-Generating State Space Models0
Are Large Language Models Useful for Time Series Data Analysis?0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
UTSD: Unified Time Series Diffusion Model0
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant informationCode0
Multiscale Dubuc: A New Similarity Measure for Time SeriesCode0
Machine Learning Algorithms to Assess Site Closure Time Frames for Soil and Groundwater ContaminationCode0
Sparse Interval-valued Time Series Modeling with Machine Learning0
How to quantify interaction strengths? A critical rethinking of the interaction Jacobian and evaluation methods for non-parametric inference in time series analysis0
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis0
bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data0
Upcycling Human Excrement: The Gut Microbiome to Soil Microbiome Axis0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Higher-order Cross-structural Embedding Model for Time Series Analysis0
Gradient-free training of recurrent neural networksCode0
Show:102550
← PrevPage 20 of 135Next →

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