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Showing 6551–6600 of 9169 papers

TitleStatusHype
IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks—0
Efficient probabilistic reconciliation of forecasts for real-valued and count time series—0
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding—0
Probabilistic Segmentation via Total Variation Regularization—0
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model—0
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures—0
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction—0
Probabilistic Temporal Subspace Clustering—0
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments—0
Probabilistic Time Series Forecasting of Residential Loads -- A Copula Approach—0
Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors—0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
An Alternate View on Optimal Filtering in an RKHS—0
Quantile Time Series Regression Models Revisited—0
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models—0
Probabilistic water demand forecasting using quantile regression algorithms—0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information—0
Cyclical Electromechanical Error Denial System Using Matrix Profile—0
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning—0
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier—0
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems—0
Process Monitoring Using Maximum Sequence Divergence—0
Process Outcome Prediction: CNN vs. LSTM (with Attention)—0
Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform V2—0
Identifying Topology of Power Distribution Networks Based on Smart Meter Data—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction—0
Prognostic classification based on random convolutional kernel—0
Progressive Cross-modal Knowledge Distillation for Human Action Recognition—0
Progressive Fusion for Multimodal Integration—0
Progressive Growing of Neural ODEs—0
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences—0
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems—0
Projecting infinite time series graphs to finite marginal graphs using number theory—0
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Identifying the module structure of swarms using a new framework of network-based time series clustering—0
Identifying the Hidden Nexus between Benford Law Establishment in Stock Market and Market Efficiency: An Empirical Investigation—0
Prompting-based Temporal Domain Generalization—0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting—0
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks—0
Proofs and additional experiments on Second order techniques for learning time-series with structural breaks—0
Propagation Graph Estimation from Individual's Time Series of Observed States—0
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records—0
Prototypes as Explanation for Time Series Anomaly Detection—0
Provably Calibrated Regression Under Distribution Drift—0
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers—0
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