Zobrazeno 1 - 10
of 504
pro vyhledávání: '"Quintana, Fernando A."'
Autor:
Quintana, Fernando M., Maryada, Galindo, Pedro L., Donati, Elisa, Indiveri, Giacomo, Perez-Peña, Fernando
Developing dedicated neuromorphic computing platforms optimized for embedded or edge-computing applications requires time-consuming design, fabrication, and deployment of full-custom neuromorphic processors.bTo ensure that initial prototyping efforts
Externí odkaz:
http://arxiv.org/abs/2409.14918
Spatio-temporal areal data can be seen as a collection of time series which are spatially correlated, according to a specific neighboring structure. Motivated by a dataset on mobile phone usage in the Metropolitan area of Milan, Italy, we propose a s
Externí odkaz:
http://arxiv.org/abs/2312.12396
Model-based clustering is a powerful tool that is often used to discover hidden structure in data by grouping observational units that exhibit similar response values. Recently, clustering methods have been developed that permit incorporating an ``in
Externí odkaz:
http://arxiv.org/abs/2311.14502
Autor:
Müller-Cleve, Simon F., Quintana, Fernando M., Fra, Vittorio, Galindo, Pedro L., Perez-Peña, Fernando, Urgese, Gianvito, Bartolozzi, Chiara
Neuromorphic computing relies on spike-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spiking representation. This is usually accomplished using the real valued
Externí odkaz:
http://arxiv.org/abs/2310.16983
Regression is one of the most fundamental statistical inference problems. A broad definition of regression problems is as estimation of the distribution of an outcome using a family of probability models indexed by covariates. Despite the ubiquitous
Externí odkaz:
http://arxiv.org/abs/2309.14120
Publikováno v:
Journal of Computational and Graphical Statistics (2024)
Incomplete covariate vectors are known to be problematic for estimation and inferences on model parameters, but their impact on prediction performance is less understood. We develop an imputation-free method that builds on a random partition model ad
Externí odkaz:
http://arxiv.org/abs/2302.06764
Autor:
Quintana, Fernando M., Perez-Peña, Fernando, Galindo, Pedro L., Neftci, Emre O., Chicca, Elisabetta, Khacef, Lyes
Neuromorphic perception with event-based sensors, asynchronous hardware and spiking neurons is showing promising results for real-time and energy-efficient inference in embedded systems. The next promise of brain-inspired computing is to enable adapt
Externí odkaz:
http://arxiv.org/abs/2301.08281
Autor:
Beraha, Mario, Guglielmi, Alessandra, Quintana, Fernando A., de Iorio, Maria, Eriksson, Johan Gunnar, Yap, Fabian
Overweight and obesity in adults are known to be associated with risks of metabolic and cardiovascular diseases. Because obesity is an epidemic, increasingly affecting children, it is important to understand if this condition persists from early life
Externí odkaz:
http://arxiv.org/abs/2203.12280
Autor:
Díaz-Cano, Ignacio, Quintana, Fernando M., Lopez-Fuster, Miguel, Badesa, Francisco-Javier, Galindo, Pedro L., Morgado-Estevez, Arturo
Fillet welding is one of the most widespread types of welding in the industry, which is still carried out manually or automated by contact. This paper aims to describe an online programming system for noncontact fillet welding robots with U and L sha
Externí odkaz:
http://arxiv.org/abs/2112.11061
Among the main goals in multiple change point problems are the estimation of the number and positions of the change points, as well as the regime structure in the clusters induced by those changes. The product partition model (PPM) is a widely used a
Externí odkaz:
http://arxiv.org/abs/2107.11456