Risultati di ricerca
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S. Vagaggini, N. Mazzali, L. Fanucci "Model Based UVM Verification Environment for HPE-O3K Optical Encoders", In 2023 Workshop on Simulation and EGSE for Space Programmes (SESP)
ABSTRACT - In recent years, optical communications have gained a foothold in satellite communications because of their high bandwidth data transmission capability and the capacity to cover much greater distances than radio systems. Recently, the...
https://phd.dii.unipi.it/publications/item/6666-s-vagaggini,-n-mazzali,-l-fanucci-model-based-uvm-verification-environment-for-hpe-o3k-optical-encoders-,-in-2023-workshop-on-simulation-and-egse-for-space-programmes-sesp.html -
S. Vagaggini, G. Benelli, D. Davalle, E. Pagani, R. Ciardi, L. Fanucci "IngeniArs IP Cores for on-board high-speed data interfaces", In 2023 European Data Handling & Data Processing Conference (EDHPC)
Abstract — This paper describes how different IP Cores for on-board high-speed data interfaces have been developed and verified by IngeniArs S.r.l. These are the CODECs and Routers implementing SpaceWire and SpaceFibre communication protocols, i.e.,...
https://phd.dii.unipi.it/publications/item/6665-s-vagaggini,-g-benelli,-d-davalle,-e-pagani,-r-ciardi,-l-fanucci-ingeniars-ip-cores-for-on-board-high-speed-data-interfaces-,-in-2023-european-data-handling-data-processing-conference-edhpc.html -
Improving the Efficiency of Software-Based Fault Protection Mechanisms with HUSTLE
Authors: N. Ferrante, L. Fanucci, F. Rossi, F. Terrosi, A. Bondavalli ABSTRACT To achieve confidence in safety-critical systems, requires among others to meet high requirements on online testing of computer systems, as dictated by safety standards such...
https://phd.dii.unipi.it/pubblicazioni/item/6662-improving-the-efficiency-of-software-based-fault-protection-mechanisms-with-hustle.html -
Improving the Efficiency of Software-Based Fault Protection Mechanisms with HUSTLE
Authors: N. Ferrante, L. Fanucci, F. Rossi, F. Terrosi, A. Bondavalli ABSTRACT To achieve confidence in safety-critical systems, requires among others to meet high requirements on online testing of computer systems, as dictated by safety standards such...
https://phd.dii.unipi.it/pubblicazioni/item/6663-improving-the-efficiency-of-software-based-fault-protection-mechanisms-with-hustle.html -
From Covid-19 detection to cancer grading: how AI is boosting clinical diagnostics and may improve treatment
A. Berti, R. Buongiorno, G. Carloni, et al., 4th National Conference on Artificial Intelligence, CINI Labs AIIS, May 2024.
https://phd.dii.unipi.it/pubblicazioni/item/6661-from-covid-19-detection-to-cancer-grading-how-ai-is-boosting-clinical-diagnostics-and-may-improve-treatment.html -
Data and System Traceability for Transparent AI in Medical Imaging
S. Colantonio, A. Berti, G. Carloni et al. 32nd Symposium On Advanced Database Systems (SEBD) 2024, May 2024.
https://phd.dii.unipi.it/pubblicazioni/item/6660-data-and-system-traceability-for-transparent-ai-in-medical-imaging.html -
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
Deep learning image classifiers often struggle with domain shift, leading to significant performance degradation in real-world applications. In this paper, we introduce our CROCODILE framework, showing how tools from causality can foster a model’s...
https://phd.dii.unipi.it/pubblicazioni/item/6659-https-doi-org-10-1007-978-3-031-73158-7_10.html -
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
Deep learning image classifiers often struggle with domain shift, leading to significant performance degradation in real-world applications. In this paper, we introduce our CROCODILE framework, showing how tools from causality can foster a model’s...
https://phd.dii.unipi.it/pubblicazioni/item/6658-https-doi-org-10-1007-978-3-031-73158-7_10.html -
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
Deep learning image classifiers often struggle with domain shift, leading to significant performance degradation in real-world applications. In this paper, we introduce our CROCODILE framework, showing how tools from causality can foster a model’s...
https://phd.dii.unipi.it/pubblicazioni/item/6657-https-doi-org-10-1007-978-3-031-73158-7_10.html -
Connectivity-Inspired Network for Context-Aware Recognition
The aim of this paper is threefold. We inform the AI practitioner about the human visual system with an extensive literature review; we propose a novel biologically motivated neural network for image classification; and, finally, we present a new...
https://phd.dii.unipi.it/pubblicazioni/item/6655-https-arxiv-org-abs-2409-04360.html -
Connectivity-Inspired Network for Context-Aware Recognition
The aim of this paper is threefold. We inform the AI practitioner about the human visual system with an extensive literature review; we propose a novel biologically motivated neural network for image classification; and, finally, we present a new...
https://phd.dii.unipi.it/pubblicazioni/item/6656-https-arxiv-org-abs-2409-04360.html -
Berti A., et al. "A survey on good AI: User-Centric AI Design in Healthcare"
Conferenza: Italian Workshop on Neural Networks (WIRN) 2024 Date: 05-07/06/2024 Autori: Andrea Berti (1,2), Valentina Giannini (3,4), Simone Mazzetti (3), Maria Antonietta Pascali (2), Daniele Regge (3), Sara Colantonio (2) Affiliazioni: 1) Department...
https://phd.dii.unipi.it/publications/item/6652-berti-a-,-et-al-a-survey-on-good-ai-user-centric-ai-design-in-healthcare.html -
Berti A., et al. "An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in DBT images"
Journal: Computer Methods and Programs in Biomedicine Autori: Andrea Berti (a, b, c), Camilla Scapicchio (b, d), Chiara Iacconi (e), Charlotte Marguerite Lucille Trombadori (f), Maria Evelina Fantacci (b, d), Alessandra Retico (b), Sara Colantonio (a)...
https://phd.dii.unipi.it/publications/item/6651-berti-a-,-et-al-an-explainable-by-design-end-to-end-ai-framework-based-on-prototypical-part-learning-for-lesion-detection-and-classification-in-dbt-images.html -
Carloni G., Berti A., Colantonio S. "The role of causality in explainable artificial intelligence"
Journal: Wires Data Mining & Knowledge Discovery Autori: Gianluca Carloni (1,2), Andrea Berti (1,2), Sara Colantonio (1) Affiliazioni: (1): Institute of Information Science and Technologies (ISTI), National Research Council of Italy (CNR), Pisa, Italy....
https://phd.dii.unipi.it/publications/item/6650-carloni-g-,-berti-a-,-colantonio-s-the-role-of-causality-in-explainable-artificial-intelligence.html -
Energy Harvest With WAVE. At Sea Trials and Preliminary Results - L. Bazzarello, A. Collevecchio, D. Cosimo, D. Di Vito, G. Gillini, G. Antonelli, A. Caffaz and A. Traverso - IEEE International Workshop on Metrology for the Sea, 2024
The ability of Maritime Unmanned Systems (MUS) to perform certain tasks is often closely linked to their endurance. This article presents experimental results on a vehicle equipped with a wing system, designed to exploit wave motion for propulsive...
https://phd.dii.unipi.it/pubblicazioni/item/6647-energy-harvest-with-wave-at-sea-trials-and-preliminary-results-l-bazzarello,-a-collevecchio,-d-cosimo,-d-di-vito,-g-gillini,-g-antonelli,-a-caffaz-and-a-traverso-ieee-international-workshop-on-metrology-for-the-sea,-2024.html -
Comparative Analysis of Throughput Maximization Strategies in Underwater Acoustic Networks: Results from At-Sea Experiments - D. Cosimo, A. Montanari, D.S. Terracciano, L. Bazzarello, R. Costanzi, F. Campagnaro and M. Zorzi - IEEE International Works
This study explores the performance of different modulation schemes for underwater acoustic communications, which are crucial for efficient data exchange in Uncrewed Underwater Vehicles (UUV) used in various maritime applications. We conducted sea...
https://phd.dii.unipi.it/pubblicazioni/item/6646-comparative-analysis-of-throughput-maximization-strategies-in-underwater-acoustic-networks-results-from-at-sea-experiments-d-cosimo,-a-montanari,-d-s-terracciano,-l-bazzarello,-r-costanzi,-f-campagnaro-and-m-zorzi-ieee-international-works.html -
Experimenting Various JANUS Frequency Bands with the Subsea Software-Defined Acoustic Modem - A. Montanari, F. Marin, V. Cimino, D. Spinosa, F. Donegà, D. Cosimo, L. Bazzarello, D. Natale, F. Campagnaro and M. Zorzi; Seventh Underwater Communications
The use of traditional commercial acoustic modems is typically confined to Oil & Gas and military scenarios, as their high power consumption and steep cost make them inaccessible for many other applications, such as aquaculture, diver commu- nication...
https://phd.dii.unipi.it/pubblicazioni/item/6644-experimenting-various-janus-frequency-bands-with-the-subsea-software-defined-acoustic-modem-a-montanari,-f-marin,-v-cimino,-d-spinosa,-f-donegà,-d-cosimo,-l-bazzarello,-d-natale,-f-campagnaro-and-m-zorzi-seventh-underwater-communications.html -
Gholami, L., Ducange, P., Cassara, P., Gotta, A. (2024, July). Channel Modeling for Millimeter-Wave UAV Communication based on Explainable Generative Neural Network. The 2nd World Conference on eXplainable Artificial Intelligence (Late-breaking Work,
This paper proposes an enhanced method for channel modeling in millimeter-wave wireless UAV-assisted communication networks. It addresses the need for accurate, data-efficient, and interpretable channel models for user-centric networks, obtained by...
https://phd.dii.unipi.it/pubblicazioni/item/6643-gholami,-l-,-ducange,-p-,-cassara,-p-,-gotta,-a-2024,-july-channel-modeling-for-millimeter-wave-uav-communication-based-on-explainable-generative-neural-network-the-2nd-world-conference-on-explainable-artificial-intelligence-late-breaking-work,.html -
L. Giannini, R. Asquini, S. Contardi, I. Nannipieri, E. Piuzzi, "Investigation of the SENSIPLUS Chip for Bioimpedance Spectroscopy Applications," 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-5
Abstract: Recent advancements in medical technology have led to personalized and proactive healthcare. Telemedicine has revolutionized patient-physician communication, allowing for remote consultations and diagnostics. Bioimpedance-based analysis has...
https://phd.dii.unipi.it/pubblicazioni/item/6638-l-giannini,-r-asquini,-s-contardi,-i-nannipieri,-e-piuzzi,-investigation-of-the-sensiplus-chip-for-bioimpedance-spectroscopy-applications,-2024-ieee-international-symposium-on-medical-measurements-and-applications-memea-,-pp-1-5.html -
L. Balocchi et al., "SENSIBUS: a Novel One Wire Protocol for Smart Sensors," 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), Bol and Split, Croatia, 2024, pp. 1-5
Abstract: This paper introduces a novel communication protocol from Sensichips s.r.l. tailored for multi-sensor readout applications, offering enhanced implementation efficiency and faster readout speeds compared to current protocols in use. Dubbed...
https://phd.dii.unipi.it/pubblicazioni/item/6637-l-balocchi-et-al-,-sensibus-a-novel-one-wire-protocol-for-smart-sensors,-2024-9th-international-conference-on-smart-and-sustainable-technologies-splitech-,-bol-and-split,-croatia,-2024,-pp-1-5.html
News
- Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
- CORSO POSTICIPATO - TO BE RESCHEDULED - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
- MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
- MODIFICA AULA CORSO Prof. Nicola Tonellotto, University of Pisa – Italy, PhD Federico Siciliano, Sapienza University of Rome – Italy, "Recommender Systems Applications in Industry 5.0", 5-9 May 2025
- Prof. Mario Innocenti, Dipartimento di Ingegneria dell’Informazione (retired), Università di Pisa, "Analysis and Control of Dynamical Systems: a State Space Approach", 10-13 June 2025
