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    MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

    Published in ArXiv cs.CR Recent Papers (2026)
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    Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling

    Published in ArXiv cs.CE Recent Papers (2026)
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    Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

    Published in ArXiv cs.MA Recent Papers (2026)
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    Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

    Published in ArXiv cs.LG Recent Papers (2026)
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    Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems

    Published in ArXiv cs.HC Recent Papers (2026)
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    A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

    Published in ArXiv cs.CE Recent Papers (2026)
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    Numerical simulation of upper garment pieces-body under different ease allowances based on the finite element contact model

    Published in Autex Research Journal (2025)
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    Predicting and Optimizing Gamma Voltage in OLED Display Manufacturing Through Sub-Pixel Crosstalk Modeling

    Published in IEEE Access (2026)
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    The PCOF Model: A Cognitive Framework for Designing Physical Switch Interactions in Smart Vehicle Cockpits

    Published in IEEE Access (2026)
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    Context-Aware Autoscaling for Cost-Efficient Large Language Model Inference With Prefix Cache Integration

    Published in IEEE Access (2026)
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    Beyond High-Confidence Sampling: Boosting Data Utilization and Model Calibration in Semi-Supervised Learning

    Published in IEEE Access (2026)
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    A Machine Learning Classification Model for Identifying College Students with Depression Based on Digital Phenotyping

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    Redefining Digital Web Signature Secrecy: A Client-Side Model for Enhanced Security and Compliance

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    Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

    Published in JMLR (2026)
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    Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

    Published in JMLR (2026)
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    Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms

    Published in Discover AI (2026)
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    Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

    Published in JMLR (2026)
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    Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

    Published in JMLR (2026)
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    Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

    Published in JMLR (2026)
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    Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

    Published in JMLR (2026)
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