Corrections to “Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients”

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pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms

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Adaptive Segmentation of IIoT Time Series Data via Change Point Detection for Machinery Fault Classification

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Data-Driven Aggregation Model of Type-III Wind Farms for Power System Transient Characteristic Simulation

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INS_IEP: A MATLAB package for fitting peaks of Inelastic Neutron Scattering data in spin cluster systems

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Mind the Gap Between UX Data and Visualization Proposals: Analyzing User Dissatisfaction and Driving Interactive System Improvements

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Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data

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A Secure and Interoperable Big Data Platform for AI-Driven Healthcare Solutions: Insights From the GATEKEEPER Project

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Modeling Pedestrian Priority at Unsignalized Crossings Using Machine Learning: Toward Data-Driven Transport Policy Solutions

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Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data

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Using Grid-Forming Energy Storage Systems to Provide Dynamic Active Power Support for Hyperscale Data Center

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An Instrumental Activities of Daily Living Decline Detection Analysis Pipeline Using Temporal Changes in In-Home Sensor Data

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SpatialProteomicsNet: A unified interface for spatial proteomics data access for computer vision and machine learning

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Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com

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Explainable CNN-GRU Model With Self-Attention for Human Activity Recognition Using Wearable Sensors Through Data Augmentation

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Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables

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From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective

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Bridge Failure Risk Prediction Using Geospatial Data Processing via Multi-Head Attention Deep Learning Model

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Derivative-Free Data-Enabled Optimal Tracking (DF-DeeOT) Controller for a PV Grid-Connected Inverter

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QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification

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