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 3401–3450 of 6748 papers

TitleStatusHype
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile—0
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification—0
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs—0
Population size predicts lexical diversity, but so does the mean sea level - why it is important to correctly account for the structure of temporal data—0
Portfolio Optimization under Fast Mean-reverting and Rough Fractional Stochastic Environment—0
Portfolio Risk Assessment using Copula Models—0
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs—0
Position: Empowering Time Series Reasoning with Multimodal LLMs—0
Positive blood culture detection in time series data using a BiLSTM network—0
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application—0
Potential Conditional Mutual Information: Estimators, Properties and Applications—0
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM—0
Power Line Communication and Sensing Using Time Series Forecasting—0
Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning—0
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction—0
Practical Data-Dependent Metric Compression with Provable Guarantees—0
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions—0
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics—0
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN—0
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs—0
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations—0
Predictability of Power Grid Frequency—0
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach—0
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability—0
Predicting China's CPI by Scanner Big Data—0
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models—0
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series—0
Predicting crypto-currencies using sparse non-Gaussian state space models—0
Predicting Cyber Events by Leveraging Hacker Sentiment—0
Predicting dynamical system evolution with residual neural networks—0
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing—0
Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing—0
Predicting Future Sales of Retail Products using Machine Learning—0
Predicting Future Shanghai Stock Market Price using ANN in the Period 21-Sep-2016 to 11-Oct-2016—0
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock—0
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks—0
Predicting Learning Status in MOOCs using LSTM—0
Predicting Multidimensional Data via Tensor Learning—0
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective—0
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data—0
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution—0
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers—0
Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques—0
Predicting Performance using Approximate State Space Model for Liquid State Machines—0
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks—0
Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues—0
Predicting Student Performance in an Educational Game Using a Hidden Markov Model—0
Predicting subscriber usage: Analyzing multi-dimensional time-series using Convolutional Neural Networks—0
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values—0
Predicting Temperature of Major Cities Using Machine Learning and Deep Learning—0
Show:102550
← PrevPage 69 of 135Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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