814 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Consejo Nacional de Investigaciones Científicas y TécnicasAR15 papers
- Universidad Nacional del LitoralAR10 papers
- National Technological UniversityAR3 papers
- Instituto de Física del LitoralAR2 papers
- King Abdullah University of Science and TechnologySA2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Curtin UniversityAU1 paper
- École PolytechniqueFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Harvard UniversityUS1 paper
20 papers
Analytics for the Optimization of the Soybean Oil Purification Process
Henrik Meyer, Lars Ahlers, Pedro Querini +4
Machine Learning, Artificial Intelligence, among others, are very promising methodologies and technologies that are emerging for implementing a broad spectrum of analytics within d…
Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
Liliana Forzani, Rodrigo García Arancibia, Antonella Gieco +2
In this paper, we address the problem of predicting a response variable in the context of both, spatially correlated and high-dimensional data. To reduce the dimensionality of the…
Deep vessel segmentation with joint multi-prior encoding
Amine Sadikine, Bogdan Badic, Enzo Ferrante +4
The precise delineation of blood vessels in medical images is critical for many clinical applications, including pathology detection and surgical planning. However, fully-automated…
On the structure of the diffusion distance induced by the fractional dyadic Laplacian
María Florencia Acosta, Hugo Aimar, Ivana Gómez +1
In this note we explore the structure of the diffusion metric of Coifman-Lafon determined by fractional dyadic Laplacians. The main result is that, for each , the diffusion…
Supervision by Denoising for Medical Image Segmentation
Sean I. Young, Adrian V. Dalca, Enzo Ferrante +4
Learning-based image reconstruction models, such as those based on the U-Net, require a large set of labeled images if good generalization is to be guaranteed. In some imaging doma…
Discrete-time MPC for switched systems with applications to biomedical problems
Alejandro Anderson, Alejandro Hernan Gonzalez, Antonio Ferramosca +1
Switched systems in which the manipulated control action is the time-depending switching signal describe many engineering problems, mainly related to biomedical applications. In su…
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
R. E. Rolon, I. E. Gareis, L. D. Larrateguy +3
The obstructive sleep apnea-hypopnea (OSAH) syndrome is a very common and frequently undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or tot…
Left ventricle quantification through spatio-temporal CNNs
Alejandro Debus, Enzo Ferrante
Cardiovascular diseases are among the leading causes of death globally. Cardiac left ventricle (LV) quantification is known to be one of the most important tasks for the identifica…
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4
Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph. In medical applications, specifically, nodes c…
A Cognitive Approach to Real-time Rescheduling using SOAR-RL
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
Ensuring flexible and efficient manufacturing of customized products in an increasing dynamic and turbulent environment without sacrificing cost effectiveness, product quality and…
Epistemic BL-Algebras
Manuela Busaniche, Penélope Cordero, Ricardo O. Rodríguez
Fuzzy Epistemic Logic is an important formalism for approximate reasoning. It extends the well known basic propositional logic BL, introduced by Hájek, by offering the ability to r…
Function spaces of coercivity for the fractional Laplacian in spaces of homogeneous type
Hugo Aimar, Ivana Gómez
We combine dyadic analysis through Haar type wavelets defined on Christ's families of generalized cubes, and Lax-Milgram theorem, in order to prove existence of Green's functions f…
Heavy tailed approximate identities and -stable Markov kernels
Hugo Aimar, Ivana Gómez, Federico Morana
The aim of this paper is to present some results relating the properties of stability, concentration and approximation to the identity of convolution through not necessarily mollif…
A posteriori error estimators for hierarchical B-spline discretizations
Annalisa Buffa, Eduardo M. Garau
In this article we develop function-based a posteriori error estimators for the solution of linear second order elliptic problems considering hierarchical spline spaces for the Gal…
Blankets Joint Posterior score for learning Markov network structures
Federico Schlüter, Yanela Strappa, Diego H. Milone +1
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in a wide range of fields. By learning the structure of independences of a do…
Energy Exchange Analysis in Droplet Dynamics via the Navier-Stokes-Cahn-Hilliard Model
LFR Espath, A Sarmiento, P Vignal +4
We develop the energy budget equation of the coupled Navier-Stokes-Cahn-Hilliard (NSCH) system. We use the NSCH equations to model the dynamics of liquid droplets in a liquid conti…
Nonlocal Schrödinger equations in metric measure spaces
Marcelo Actis, Hugo Aimar, Bruno Bongioanni +1
In this note we consider the pointwise convergence to the initial data for the solutions of some nonlocal dyadic Schrödinger equations on spaces of homogeneous type. We prove the a…
The cost of continuity: performance of iterative solvers on isogeometric finite elements
Nathan Collier, Lisandro Dalcin, David Pardo +1
In this paper we study how the use of a more continuous set of basis functions affects the cost of solving systems of linear equations resulting from a discretized Galerkin weak fo…
Generalized Qualification and Qualification Levels for Spectral Regularization Methods
Terry Herdman, Ruben D. Spies, Karina G. Temperini
The concept of qualification for spectral regularization methods for inverse ill-posed problems is strongly associated to the optimal order of convergence of the regularization err…
Structure of Extremely Nanosized and Confined In-O Species in Ordered Porous Materials
J. M. Ramallo Lopez, M. Renteria, E. E. Miro +2
Perturbed-angular correlation, x-ray absorption, and small-angle x-ray scattering spectroscopies were suitably combined to elucidate the local structure of highly diluted and dispe…