Zobrazeno 1 - 10
of 15 874
pro vyhledávání: '"Galimberti, A"'
Autor:
Ferreira, Fabio S., Ashburner, John, Bouzigues, Arabella, Suksasilp, Chatrin, Russell, Lucy L., Foster, Phoebe H., Ferry-Bolder, Eve, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Galimberti, Daniela, Vandenberghe, Rik, de Mendonca, Alexandre, Tiraboschi, Pietro, Santana, Isabel, Gerhard, Alexander, Levin, Johannes, Sorbi, Sandro, Otto, Markus, Pasquier, Florence, Ducharme, Simon, Butler, Chris R., Ber, Isabelle Le, Finger, Elizabeth, Tartaglia, Maria C., Masellis, Mario, Rowe, James B., Synofzik, Matthis, Moreno, Fermin, Borroni, Barbara, Kaski, Samuel, Rohrer, Jonathan D., Mourao-Miranda, Janaina
In this study, we propose a novel approach to uncover subgroup-specific and subgroup-common latent factors addressing the challenges posed by the heterogeneity of neurological and mental disorders, which hinder disease understanding, treatment develo
Externí odkaz:
http://arxiv.org/abs/2410.07890
The current over-provisioned heterogeneous multi-cores require effective run-time optimization strategies, and the run-time power monitoring subsystem is paramount for their success. Several state-of-the-art methodologies address the design of a run-
Externí odkaz:
http://arxiv.org/abs/2407.21367
A time-efficient and comprehensive verification is a fundamental part of the design process for modern computing platforms, and it becomes ever more important and critical to optimize as the latter get ever more complex. SupeRFIVe is a methodology fo
Externí odkaz:
http://arxiv.org/abs/2407.21192
Attacks based on side-channel analysis (SCA) pose a severe security threat to modern computing platforms, further exacerbated on IoT devices by their pervasiveness and handling of private and critical data. Designing SCA-resistant computing platforms
Externí odkaz:
http://arxiv.org/abs/2407.17432
Autor:
Galimberti, Luca
Leveraging the infinite dimensional neural network architecture we proposed in arXiv:2109.13512v4 and which can process inputs from Fr\'echet spaces, and using the universal approximation property shown therein, we now largely extend the scope of thi
Externí odkaz:
http://arxiv.org/abs/2406.09310
Predicting the conditional evolution of Volterra processes with stochastic volatility is a crucial challenge in mathematical finance. While deep neural network models offer promise in approximating the conditional law of such processes, their effecti
Externí odkaz:
http://arxiv.org/abs/2405.20094
Publikováno v:
IEEE Open Journal of Control Systems (Volume: 3), 2024
The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms.
Externí odkaz:
http://arxiv.org/abs/2405.00871
Autor:
Boroujeni, Mahrokh Ghoddousi, Galimberti, Clara Lucía, Krause, Andreas, Ferrari-Trecate, Giancarlo
Stochastic Nonlinear Optimal Control (SNOC) involves minimizing a cost function that averages out the random uncertainties affecting the dynamics of nonlinear systems. For tractability reasons, this problem is typically addressed by minimizing an emp
Externí odkaz:
http://arxiv.org/abs/2403.17790
Autor:
Galimberti, Francesco, Bopp, Stephanie, Carletti, Alessandro, Catarino, Rui, Claverie, Martin, Florio, Pietro, Ippolito, Alessio, Jones, Arwyn, Marchetto, Flavio, Olvedy, Michael, Pistocchi, Alberto, Verhegghen, Astrid, Van Der Velde, Marijn, Vieira, Diana, d'Andrimont, Raphael
The increase in global pesticide use has mirrored the rising demand for food over the last decades, resulting in a boost in crop yields. However, concerns about the impact of pesticides on biodiversity, ecosystems, and human health, especially for po
Externí odkaz:
http://arxiv.org/abs/2402.10990
Liquid crystal based technologies have found considerably diversified uses and areas of application over the last few decades, proving to be excellent materials for tunable optical elements from visible to near-infrared frequencies. Currently, much e
Externí odkaz:
http://arxiv.org/abs/2310.15567