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Disambiguation of "Graziani, Mara"

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Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability.

, , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 540-549. Springer, (2021)

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Luca Graziani

Mara Budzis

Mara Florea

Mara Ewers

Mara Reissberger

 

Other publications of authors with the same name

On the Scale Invariance in State of the Art CNNs Trained on ImageNet., , , , and . Mach. Learn. Knowl. Extr., 3 (2): 374-391 (2021)A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences., , , , , , , , , and 6 other author(s). Artif. Intell. Rev., 56 (4): 3473-3504 (April 2023)Shifts 2.0: Extending The Dataset of Real Distributional Shifts., , , , , , , , , and 8 other author(s). CoRR, (2022)Regression Concept Vectors for Bidirectional Explanations in Histopathology., , and . MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 124-132. Springer, (2018)Regression-based Deep-Learning predicts molecular biomarkers from pathology slides., , , , , , , , , and 7 other author(s). CoRR, (2023)Disentangling Neuron Representations with Concept Vectors., , , and . CVPR Workshops, page 3770-3775. IEEE, (2023)Attention-Based Interpretable Regression of Gene Expression in Histology., , , , , and . iMIMIC@MICCAI, volume 13611 of Lecture Notes in Computer Science, page 44-60. Springer, (2022)Interpreting Intentionally Flawed Models with Linear Probes., , and . ICCV Workshops, page 743-747. IEEE, (2019)Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging., , , , and . iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 23-32. Springer, (2020)Regression Concept Vectors for Bidirectional Explanations in Histopathology., , and . CoRR, (2019)