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  1. 3361

    On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

    Published 2025-01-01
    “…A key requirement of the IPCW Brier score is the estimation of the censoring distribution, which is needed to compute the weights. The established paradigm of splitting a dataset into a training and a test set for model fitting and evaluation raises the question which of these datasets to use in order to fit the censoring model. …”
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    ADAPTED NEURO MANAGEMENT AND INTEGRAL METHODOLOGY IN DECISION EVALUATION. CUM INTERVENTION by S Sandhya, Jyotirmaya Satpathy

    Published 2024-12-01
    “…Based on the protocol evaluations obtained through Adapted Neuromanagement, this paper applies a variety of personalized intervention techniques oriented from the neurointegral methodology. …”
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    Clinical evaluation of 3D printed splint in the treatment of temporomandibular disorders by Yuanqing Ma, Weixu Li, Litong Li, Meng Cao, Chi Zhang

    Published 2025-07-01
    “…Abstract Objective To use a T-scan (Tekscan, Boston, USA) to evaluate the grinding effect of a three-dimensional (3D) printed occlusal splint and provide reference guidelines for adjusting occlusion and alleviating temporomandibular joint symptoms before orthodontic treatment. …”
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    Generating and evaluating synthetic data in digital pathology through diffusion models by Matteo Pozzi, Shahryar Noei, Erich Robbi, Luca Cima, Monica Moroni, Enrico Munari, Evelin Torresani, Giuseppe Jurman

    Published 2024-11-01
    “…Abstract Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data augmentation and addressing data scarcity and privacy. …”
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  12. 3372

    Performance Evaluation of Extended EWMA Chart for AR Model with Exogenous Variables by Totsaporn Muangngam, Yupaporn Areepong, Saowanit Sukparungsee

    Published 2024-12-01
    “…One key performance measure used to evaluate the capability of control charts in detecting changes is the average run length (ARL). …”
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    TPNet: A High-Performance and Lightweight Detector for Ship Detection in SAR Imagery by Weikang Zuo, Shenghui Fang

    Published 2025-04-01
    “…We introduce several innovative mechanisms to enhance TPNet’s performance, improving both accuracy and computational efficiency. Evaluated on the open-source SAR-Ship-Dataset, TPNet outperforms 14 other deep learning-based detection algorithms in accuracy and efficiency. …”
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