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

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Showing 4801–4850 of 6748 papers

TitleStatusHype
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log-returns: out-of-sample comparison of conditional EVT models—0
30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine—0
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting—0
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations—0
4D Human Body Capture from Egocentric Video via 3D Scene Grounding—0
4D iterative reconstruction of brain fMRI in the moving fetus—0
5G Traffic Prediction with Time Series Analysis—0
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning—0
A Basic Recurrent Neural Network Model—0
A Bayesian analysis of gain-loss asymmetry—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
A Bayesian approach for structure learning in oscillating regulatory networks—0
A Bayesian Approach to Sparse plus Low rank Network Identification—0
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat—0
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
A Bayesian Ensemble for Unsupervised Anomaly Detection—0
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves—0
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series—0
A Benchmark Study on Time Series Clustering—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
Accelerated solving of coupled, non-linear ODEs through LSTM-AI—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning—0
Accelerating Neural ODEs Using Model Order Reduction—0
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences—0
ACCTS: an Adaptive Model Training Policy for Continuous Classification of Time Series—0
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data—0
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm—0
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty—0
Accurate Prediction of Global Mean Temperature through Data Transformation Techniques—0
Accurate shape and phase averaging of time series through Dynamic Time Warping—0
A Cellular Automaton Model for the generation of Brainwaves—0
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports—0
A cloud-IoT platform for passive radio sensing: challenges and application case studies—0
A Clustering Algorithm for Correlation Quickest Hub Discovery Mixing Time Evolution and Random Matrix Theory—0
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery—0
A CNN–LSTM model for gold price time-series forecasting—0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM—0
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers—0
A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings—0
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models—0
A Comparative Study of Reservoir Computing for Temporal Signal Processing—0
A comparative study of statistical and machine learning models on near-real-time daily emissions prediction—0
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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