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Showing 5051–5100 of 9169 papers

TitleStatusHype
Dictionary-Learning-Based Data Pruning for System Identification—0
Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence—0
Diagnostic Spatio-temporal Transformer with Faithful Encoding—0
Diagnosis of systemic risk and contagion across financial sectors—0
A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction—0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting—0
Behave-XAI: Deep Explainable Learning of Behavioral Representational Data—0
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems—0
Devil in the Detail: Attack Scenarios in Industrial Applications—0
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting—0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
A consistent deterministic regression tree for non-parametric prediction of time series—0
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig—0
Development of an Algorithm for Identifying Changes in System Dynamics from Time Series—0
Beam Prediction based on Large Language Models—0
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces—0
Deterministic Reservoir Computing for Chaotic Time Series Prediction—0
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest—0
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data—0
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19—0
Determination of the effective cointegration rank in high-dimensional time-series predictive regressions—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection—0
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients—0
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network—0
The amplitude modulation pattern of Gaussian noise is a fingerprint of Gaussianity—0
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques—0
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling—0
A new measure between sets of probability distributions with applications to erratic financial behavior—0
Adversarially learned anomaly detection for time series data—0
A conditional likelihood is required to estimate the selection coefficient in ancient DNA—0
A Benchmark Time Series Dataset for Semiconductor Fabrication Manufacturing Constructed using Component-based Discrete-Event Simulation Models—0
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting—0
Learning low-dimensional state embeddings and metastable clusters from time series data—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
Detection of anomalies in cow activity using wavelet transform based features—0
Detection of Anomalies in a Time Series Data using InfluxDB and Python—0
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records—0
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique—0
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