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Zayed University of Artificial Intelligence
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ZEBRA bridges the critical base-to-novel generalization gap in audio-language models, boosting novel-class performance without sacrificing base accuracy.
GMM pooling not only enhances preterm birth prediction accuracy but also sets a new standard for image-based classification tasks by effectively modeling intra-patient variability.
Top algorithms in the HECKTOR 2025 challenge achieved impressive segmentation and survival prediction metrics, showcasing the power of multimodal imaging in oncology.
