4 citations
- National Technological UniversityAR5 papers
- Comisión Nacional de Energía AtómicaAR3 papers
- Balseiro InstituteAR2 papers
- Bariloche Atomic CentreAR2 papers
- Benemérita Universidad Autónoma de PueblaMX2 papers
- Case Western Reserve UniversityUS2 papers
- Centro Brasileiro de Pesquisas FísicasBR2 papers
- Charles UniversityCZ2 papers
- City University of New YorkUS2 papers
- Colorado School of MinesUS2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Federal Center for Technological Education Celso Suckow da FonsecaBR2 papers
5 papers
Resolving Spurious Multifractality in Discrete Systems: A Finite-Size Scaling Protocol for MFDFA in the 2D Ising Model
Sebastian Jaroszewicz, Nahuel Mendez, Maria P. Beccar-Varela +1
Multifractal Detrended Fluctuation Analysis (MFDFA) has emerged as a standard tool for characterizing scale invariance in complex systems, yet its application to discrete spin mode…
Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +360
We present a novel approach for assessing the muon content of air showers with large zenith angles on a combined analysis of their radio emission and particle footprint. We use the…
The Pierre Auger Observatory Open Data
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +358
The Pierre Auger Collaboration has embraced the concept of open access to their research data since its foundation, with the aim of giving access to the widest possible community.…
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
Candelaria Mosquera, Facundo Nahuel Diaz, Fernando Binder +7
BACKGROUND AND OBJECTIVES: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that perfo…
The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences
Alejandro Edera, Yanela Strappa, Facundo Bromberg
Markov networks are models for compactly representing complex probability distributions. They are composed by a structure and a set of numerical weights. The structure qualitativel…