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 5751–5800 of 6748 papers

TitleStatusHype
Cointegration with Occasionally Binding Constraints—0
Collaborative adversary nodes learning on the logs of IoT devices in an IoT network—0
Collaborative Multiobjective Evolutionary Algorithms in search of better Pareto Fronts. An application to trading systems—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network—0
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles—0
Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems—0
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting—0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS—0
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications—0
Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models—0
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification—0
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems—0
Combining observational and experimental data to find heterogeneous treatment effects—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter—0
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Compact representation of temporal processes in echosounder time series via matrix decomposition—0
Comparative analysis of criteria for filtering time series of word usage frequencies—0
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak—0
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction—0
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
Comparing Lexical Usage in Political Discourse across Diachronic Corpora—0
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices—0
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts—0
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study—0
Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models—0
Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review—0
Comparison Analysis of Facebook's Prophet, Amazon's DeepAR+ and CNN-QR Algorithms for Successful Real-World Sales Forecasting—0
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction—0
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China—0
Comparison of PCA with ICA from data distribution perspective—0
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling—0
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Compensatory model for quantile estimation and application to VaR—0
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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