V
Vincenzo Piuri
Researcher at University of Milan
Publications - 446
Citations - 7405
Vincenzo Piuri is an academic researcher from University of Milan. The author has contributed to research in topics: Fault tolerance & Biometrics. The author has an hindex of 39, co-authored 416 publications receiving 6280 citations. Previous affiliations of Vincenzo Piuri include Fiat Automobiles & Instituto Politécnico Nacional.
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Error analysis and detection procedures for a hardware implementation of the advanced encryption standard
TL;DR: Two fault detection schemes are presented: the first is a redundancy-based scheme while the second uses an error detecting code, which is a novel scheme which leads to very efficient and high coverage fault detection.
Proceedings ArticleDOI
All-IDB: The acute lymphoblastic leukemia image database for image processing
TL;DR: A new public dataset of blood samples is proposed, specifically designed for the evaluation and the comparison of algorithms for segmentation and classification, to offer a new test tool to the image processing and pattern matching communities.
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Deep-ECG: Convolutional Neural Networks for ECG biometric recognition
TL;DR: Deep-ECG extracts significant features from one or more leads using a deep CNN and compares biometric templates by computing simple and fast distance functions, obtaining remarkable accuracy for identification, verification and periodic re-authentication.
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Fault Tolerance Management in Cloud Computing: A System-Level Perspective
TL;DR: An innovative, system-level, modular perspective on creating and managing fault tolerance in Clouds is introduced and a comprehensive high-level approach to shading the implementation details of the fault tolerance techniques to application developers and users by means of a dedicated service layer is proposed.
Proceedings ArticleDOI
Morphological classification of blood leucocytes by microscope images
Vincenzo Piuri,Fabio Scotti +1 more
TL;DR: This paper presents a methodology to achieve an automated detection and classification of leucocytes by microscope color images and firstly individuates in the blood image the leucocyte from the others blood cells, then it extracts morphological indexes and finally it classifies the leukocytes by a neural classifier in Basophil, Eosinophils, Lymphocyte, Monocyte and Neutrophil.