A. Berti, R. Buongiorno, G. Carloni, et al., 4th National Conference on Artificial Intelligence, CINI Labs AIIS, May 2024.
S. Colantonio, A. Berti, G. Carloni et al. 32nd Symposium On Advanced Database Systems (SEBD) 2024, May 2024.
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...
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...
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...
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...
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...
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...
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)...
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....
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...
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...
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...
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...
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...
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...
Abstract: Neurostimulation applications require increasing versatility to tailor the treatment to the patient needs, thus improving its efficacy. In this work, we propose a fully-programmable integrated neurostimulation system capable of performing...
Abstract: In single-chip electrical impedance spectroscopy systems, generation of sinusoidal waveforms with frequencies variable over several decades is often the most challenging task. In this work, we propose an original approach to sinusoidal...
As of today, designing Current References (CRs) with enhanced PVT-robustness is still hardly straightforward, especially under area occupation constraints. In this work, we present a novel beta-multiplier CR, performing first-order temperature...
Field Programmable Gate Arrays find extensive use across various domains, ranging from telecommunications to Machine Learning tasks. In the context of space applications, they emerge as a highly favourable choice, owing to their high degree of...