Reviewed Papers

Tracking # Title Status Responsible editor
927-1907 MRI DATA AND MACHINE LEARNING FOR THE EARLY DETECTION OF ALZHEIMER DISEASE Reject (Pre-Screening)
928-1908 Anticipating User Desires: Predicting Software Product Feature Demand through Consumer Behavioral Analytics Reject (Pre-Screening)
929-1909 UTDMCF: Alleviating Highly Skewed Point of Interest for Enhancing Graduate on Time Prediction Reject (Pre-Screening)
930-1910 Knowledge Graph Metadata Specification and Validation Accept Oscar Corcho
931-1911 Comparative Analysis of Time Series Forecasting Methods for Predicting Spare Parts Demand in Supply Chains Reject (Pre-Screening)
932-1912 SerendibCoins: Exploring the Sri Lankan Coins Dataset Reject (Pre-Screening)
933-1913 Trustworthy AI During Machine Learning Model Development: Enhancing Explainability and Robustness of ML Models with Fitting Graphs Reject (Pre-Screening) Richard Mann
934-1914 Alzheimer’s Disease Diagnosis Using Demographic Data: A Preprocessing and Analytics Statistical Approach Reject (Pre-Screening)
935-1915 Detecting Algorithmic Bias in Turkish E-Commerce Reviews: A Systematic Comparison of Supervised, Lexicon-Based, and Unsupervised Polarity Analysis Methods Reject (Pre-Screening)
936-1916 From User Reviews to Digital Innovation: Harnessing Feedback for Advancing Health Applications Reject (Pre-Screening)
937-1917 A comprehensive review of classifier probability calibration metrics Accept Francesca D. Faraci
938-1918 A Fast Line-Fitting Algorithm under Bounded Errors Reject (Pre-Screening) Georgios Aivaliotis
939-1919 Hierarchical Few-Shot Learning for Bilingual User Experience Classification: A Case Study on Saudi Arabia’s Sehhaty Health App Reject (Pre-Screening)
941-1921 Novel estimator for 4-parameter Weibull extrapolation scheme: computer code implementation and industrial applications Reject (Pre-Screening)
942-1922 Interpretable Linear Models for Heart Disease Prediction: A Comparative Study Reject (Pre-Screening)
944-1924 Intuitiveness as the next stage of open data: dataset design and complexity Reject (Pre-Screening)
945-1925 Heaped Age Adaptive Model (HAAM) for Mitigating Age Heaping in Demographic Data Reject (Pre-Screening)

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