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Open access Sep 2026

An Explainable Hybrid Machine Learning Framework for Enhanced Early Detection and Comprehensive Staging of Breast Cancer

An Explainable Hybrid Machine Learning (XML) framework that integrates advanced feature extraction with interpretable classification techniques for early breast cancer detection and staging and offers a robust, transparent, and clinically auditable solution for personalized breast cancer diagnosis and treatment plannin...

Shubhangi, Sanjeev Sharma, Akhtar Husain · 0 citations
#artificial intelligence Preprint Sep 2026

Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

It is demonstrated that pseudo-label quality, not quantity, is a decisive factor in self-training under domain shift, and that cross-modal language grounding offers a practical path to reliable automatic annotation in deployment-critical applications.

Udo Schlegel, Shubhangi, Gabriel Dax et al. · 0 citations

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