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of 35
pro vyhledávání: '"Maggio, Simona"'
Transfer learning aims to make the most of existing pre-trained models to achieve better performance on a new task in limited data scenarios. However, it is unclear which models will perform best on which task, and it is prohibitively expensive to tr
Externí odkaz:
http://arxiv.org/abs/2306.15306
If Uncertainty Quantification (UQ) is crucial to achieve trustworthy Machine Learning (ML), most UQ methods suffer from disparate and inconsistent evaluation protocols. We claim this inconsistency results from the unclear requirements the community e
Externí odkaz:
http://arxiv.org/abs/2207.13341
ML models deployed in production often have to face unknown domain changes, fundamentally different from their training settings. Performance prediction models carry out the crucial task of measuring the impact of these changes on model performance.
Externí odkaz:
http://arxiv.org/abs/2206.10697
Autor:
Maggio, Simona <1984>
This thesis introduces new processing techniques for computer-aided interpretation of ultrasound images with the purpose of supporting medical diagnostic. In terms of practical application, the goal of this work is the improvement of current prostate
Externí odkaz:
http://amsdottorato.unibo.it/3333/
Autor:
Maggio, Simona, Dreyfus-Schmidt, Léo
The term dataset shift refers to the situation where the data used to train a machine learning model is different from where the model operates. While several types of shifts naturally occur, existing shift detectors are usually designed to address o
Externí odkaz:
http://arxiv.org/abs/2106.14608
Modern e-commerce catalogs contain millions of references, associated with textual and visual information that is of paramount importance for the products to be found via search or browsing. Of particular significance is the book category, where the
Externí odkaz:
http://arxiv.org/abs/1905.01973
Deep neural networks have been shown to be vulnerable to adversarial examples: very small perturbations of the input having a dramatic impact on the predictions. A wealth of adversarial attacks and distance metrics to quantify the similarity between
Externí odkaz:
http://arxiv.org/abs/1802.06627
Autor:
TESTONI, NICOLA, SPECIALE, NICOLO'ATTILIO, BERTACCINI, ALESSANDRO, MANFERRARI, FABIO, MAGGIO, SIMONA, GALLUZZO, FRANCESCA, MASETTI, GUIDO, MARTORANA, GIUSEPPE, D. Marchiori, FIORENTINO, MICHELANGELO, SCHIAVINA, RICCARDO, R. Cividini, M. Giampaoli
Prostate cancer (PCa) is one of the most frequent neoplasia: it can be accurately detected only by prostate biopsy (PBx) and is not clearly visible at TRUS and other diagnostic methods such as PSA levels. For this reason, guidelines for PCa diagnosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::bee92d6acf41f139f1e63fbd22189516
http://hdl.handle.net/11585/112511
http://hdl.handle.net/11585/112511
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