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    Data management for distributed computational workflows: An iRODS-based setup and its performance

    Published in PLOS ONE (2026)
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    Correction: DeltaBreed: A BrAPI-centric breeding data information system

    Published in PLOS ONE (2026)
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    SDXL model-based optimization for interior design: Data-driven and deep learning methods

    Published in PLOS ONE (2026)
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    Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data

    Published in PLOS ONE (2026)
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    Expression of Concern: Modified Liu estimators in the linear regression model: An application to Tobacco data

    Published in PLOS ONE (2026)
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    Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs

    Published in ArXiv cs.IR Recent Papers (2026)
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    Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

    Published in ArXiv cs.DL Recent Papers (2026)
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    Lakestream: A Consistent and Brokerless Data Plane for Large Foundation Model Training

    Published in ArXiv cs.DC Recent Papers (2026)
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    Third-party library selection in IT projects under imperfect data using Dempster–Shafer theory

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    A Deep Survival Model for Predicting Alzheimer's Diagnosis Based on Multi-Modal Longitudinal Data

    Published in Big Data Mining and Analytics (2026)
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    The W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake

    Published in Data Intelligence (2024)
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    Mapping of EFO terms from the GWAS catalog data to multiple ontologies at the Rat Genome Database

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    Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

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

    Published in JMLR (2026)
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    On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

    Published in JMLR (2026)
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    Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

    Published in JMLR (2026)
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    On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

    Published in JMLR (2026)
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    Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

    Published in JMLR (2026)
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    On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

    Published in JMLR (2026)
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    Methods for analysing wildlife DNA methylation data

    Published in Conservation Physiology (2026)
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