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    ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

    Published in Journal of Open Source Software (2026)
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    Evaluating Bias Detection and Mitigation Approaches Across Classical and Large Language Models

    Published in IEEE Access (2026)
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    A Novel Deep Learning Technique to Model and Predict the Spread of Cybersecurity Threats

    Published in IEEE Access (2026)
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    Covid-19 and adult learning in Nigeria: can technology help? an exploration of adult literacy facilitators’ perspective

    Published 2022-12
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    Green's Function Applications in Antenna Array Modeling: A Case Study with Multiple Log- Periodic Array (MLPA) Antennas

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    SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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    A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One

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    The Celebrity Factor: Exploring the Impact of Influencers on COVID-19 Vaccine Sentiment through Bayesian Modeling of Time Series.

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    Performance Analysis of Cluster-based Multi-UAV Routing Protocol in Various Mobility Models using NS-3

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    Application of hydrogels in 3D tumor microenvironment modeling and drug screening for cervical cancer: A review

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    Deep learning–driven image captioning: Progress through transformers and large language models

    Published in PLOS ONE (2026)
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    Retraction: An inherently interpretable deep learning model for local explanations using visual concepts

    Published in PLOS ONE (2026)
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    Analysis of cortical dysplasias using b-tensor encoding diffusion MRI in an animal model

    Published in PLOS ONE (2026)
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    Correction: An overdispersed count regression model for analyzing road accident fatalities and injuries in Bangladesh

    Published in PLOS ONE (2026)
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    A Monte Carlo simulation study of sample size requirements for the Graded Response Model

    Published in PLOS ONE (2026)
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    Enhancing Large Language Models for Underrepresented Varieties: Pretraining Strategies in the Galician-Portuguese Diasystem

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    The Cocoruta Hub: Open and Curated Corpora, Datasets and Language Models on Brazilian Ocean Law

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    Exploring Brazil's LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese

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    Resisting the machine: modeling emotional friction and academic decline in enforced AI learning environments

    Published in Smart Learning Environments (2026)
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    The application of large language models in meteorology graduate research: current status, impact, and prospects

    Published in PLOS ONE (2026)
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