Mara Graziani - RankMe

37 papers C 1Journal 23Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Making Sense of Data in the Wild: Data Analysis Automation at Scale. CoRR Mara Graziani, Malina Molnar, Irina Espejo Morales, Joris Cadow-Gossweiler, Teodoro Laino
2025	J	`jnl`	Privacy preserving histopathological image augmentation with Conditional Generative Adversarial Networks. Pattern Recognit. Lett. Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mara Graziani, Henning Müller, Bogdan Ionescu
2025	J	`jnl`	Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation. Comput. Biol. Medicine Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2025	J	`jnl`	Test-Time Tuned Language Models Enable End-to-end De Novo Molecular Structure Generation from MS/MS Spectra. CoRR Laura Mismetti, Marvin Alberts, Andreas Krause, Mara Graziani
2025	J	`jnl`	We Need Improved Data Curation and Attribution in AI for Scientific Discovery. CoRR Mara Graziani, Antonio Foncubierta, Dimitrios Christofidellis, Irina Espejo Morales, Malina Molnar, Marvin Alberts, Matteo Manica, Jannis Born
2023	J	`jnl`	A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller
2023	—	`conf`	Disentangling Neuron Representations With Concept Vectors. XAI4CV Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	—	`conf`	Disentangling Neuron Representations with Concept Vectors. CVPR Workshops Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	J	`jnl`	Disentangling Neuron Representations with Concept Vectors. CoRR Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
2023	—	`conf`	Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2023	J	`jnl`	Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. CoRR Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, Hannah Sophie Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather
2023	J	`jnl`	Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023	—	`conf`	Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2023	J	`jnl`	Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2023	J	`jnl`	Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
2023	J	`jnl`	Uncovering Unique Concept Vectors through Latent Space Decomposition. Trans. Mach. Learn. Res. Mara Graziani, Laura O'Mahony, An-phi Nguyen, Henning Müller, Vincent Andrearczyk
2022	—	`conf`	Attention-Based Interpretable Regression of Gene Expression in Histology. iMIMIC@MICCAI Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
2022	J	`jnl`	Attention-based Interpretable Regression of Gene Expression in Histology. CoRR Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
2022	J	`jnl`	Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2022	J	`jnl`	Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf
2021	—	`—`	Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization. Mara Graziani
2021	J	`jnl`	On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2021	—	`conf`	Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk
2020	J	`jnl`	Breast Histopathology with High-Performance Computing and Deep Learning. Comput. Informatics Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller
2020	J	`jnl`	Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller
2020	J	`jnl`	Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk
2020	—	`conf`	Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk
2020	J	`jnl`	PROCESS Data Infrastructure and Data Services. Comput. Informatics Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Jason Maassen, Martin Bobák, Ondrej Habala, Viet D. Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, Henning Müller
2020	J	`jnl`	Reference Exascale Architecture (Extended Version). Comput. Informatics Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet D. Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller, Souley Madougou, Jason Maassen
2019	—	`conf`	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller
2019	—	`conf`	Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops Mara Graziani, Henning Müller, Vincent Andrearczyk
2019	—	`conf`	Reference Exascale Architecture. eScience Martin Bobák, Balázs Somosköi, Mara Graziani, Matti Heikkurinen, Maximilian Höb, Jan Schmidt, Ladislav Hluchý, Adam Belloum, Reginald Cushing, Jan Meizner, Piotr Nowakowski, Viet D. Tran, Ondrej Habala, Jason Maassen
2019	J	`jnl`	Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR Mara Graziani, Vincent Andrearczyk, Henning Müller
2018	—	`conf`	Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI Mara Graziani, Vincent Andrearczyk, Henning Müller
2017	—	`conf`	Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
2017	C	`conf`	Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. ICVS Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
2015	J	`jnl`	Studying the control of non invasive prosthetic hands over large time spans. CoRR Mara Graziani