Introduction: Multi-model collaboration avoids model bias, cognitive blind spots, and context limits. Unlike MCP or API-based approaches, ccb gives you a WYSIWYG split-pane terminal where every ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Abstract: The efficacy of deep learning-based Computer-Aided Diagnosis (CAD) methods for skin diseases relies on analyzing multiple data modalities (i.e., clinical+dermoscopic images, and patient ...
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