When Can We Answer Queries Using Result-Bounded Data Interfaces?

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Advancing Code Translation With Context-Aware Pre-Training in Data-Scarce Environments

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FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning

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simulist: An R package to simulate disease outbreak line list and contacts data

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Deep information-extreme machine learning for autonomous UAV based on decursive data structure for semantic segmentation of digital image of a region

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Reliability Risk Assessment and Standardization Strategy for Single-Phase Immersion-Cooled Data Center

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Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach

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Tissue Data Explorer: a website template for presenting tissue sample research findings

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Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

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On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

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Simulating reachability using first-order logic with applications to verification of linked data structures

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ICSD: An Improved Approach for Clean-Sample-Guided Self-Knowledge Distillation With Data Augmentation

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PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH

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MiniUn: A Machine Unlearning Method to Minimize Dependency on Original Training Data

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Enhancing Machine Learning Algorithms for Imbalanced Data—A Case Study: Spam Detection

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3-D Relational Learning in Tabular Data: A Dual-Graph Attention Approach

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ADVI-SLAM: An Adaptive Multi-Modal Data Fusion Localization Method for Mobile Robots

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AOI-Based Novel Majority Approximators for Energy-Efficient On-Chip Data Bus Inversion

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Graph-Transformer for Spatiotemporal Soil Moisture Forecasting Using Multimodal Remote Sensing Data

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