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Showing 6801–6850 of 9169 papers

TitleStatusHype
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands—0
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm—0
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosisCode0
Multivariate Time Series Classification Using Spiking Neural Networks—0
Compact representation of temporal processes in echosounder time series via matrix decomposition—0
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksCode0
Inference on the change point in high dimensional time series models via plug in least squares—0
High-recall causal discovery for autocorrelated time series with latent confounders—0
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential EquationsCode0
Path Signatures on Lie GroupsCode0
Handling Variable-Dimensional Time Series with Graph Neural Networks—0
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation—0
Semi-supervised Sequential Generative Models—0
Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems—0
Neural Time Warping For Multiple Sequence Alignment—0
Cyclical Electromechanical Error Denial System Using Matrix Profile—0
Development of an Algorithm for Identifying Changes in System Dynamics from Time Series—0
An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images—0
Forecasting Precipitable Water Vapor Using LSTMsCode0
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming—0
Improving MF-DFA model with applications in precious metals market—0
A Model of the Fed's View on InflationCode0
Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models—0
On Multivariate Singular Spectrum Analysis and its Variants—0
Physics-informed machine learning for sensor fault detection with flight test data—0
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix FactorizationCode0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
A Data-driven Market Simulator for Small Data Environments—0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Chaos may enhance expressivity in cerebellar granular layer—0
Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series ModelingCode0
Semi-supervised time series classification method for quantum computing—0
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process—0
High-Frequency Radar Ocean Current Mapping at Rapid Scale with Autoregressive Modeling—0
Real-Time Prediction of BITCOIN Price using Machine Learning Techniques and Public Sentiment Analysis—0
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems—0
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion—0
STEER: Simple Temporal Regularization For Neural ODEs—0
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments—0
Learning-Based Real-Time Event Identification Using Rich Real PMU Data—0
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc—0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction—0
Prior knowledge distillation based on financial time series—0
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package—0
Dynamic Window-level Granger Causality of Multi-channel Time Series—0
Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm—0
Tempered Stable Processes with Time Varying Exponential Tails—0
Interpretable Super-Resolution via a Learned Time-Series Representation—0
FedGAN: Federated Generative Adversarial Networks for Distributed Data—0
Fairness in Forecasting and Learning Linear Dynamical Systems—0
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