Paper-Conference

Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI
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Deep Learning Model for Video-Classification of Echocardiography Images
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Encoding domain knowledge in multi-view latent variable models: A bayesian approach with structured sparsity
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Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions
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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
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Multi-output Gaussian Processes for uncertainty-aware recommender systems
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Towards trustworthy predictions from deep neural networks with fast adversarial calibration
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Document informed neural autoregressive topic models with distributional prior
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Optical trapping dynamics for cell identification
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