output
20172023
most citedAn analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers

84 citations

9 papers

eess.IV2023★ 41 cited

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla +4

The development of successful artificial intelligence models for chest X-ray analysis relies on large, diverse datasets with high-quality annotations. While several databases of ch…

eess.IV2022★ 71 cited

Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis

Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera +2

Anatomical segmentation is a fundamental task in medical image computing, generally tackled with fully convolutional neural networks which produce dense segmentation masks. These m…

eess.IV2020

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…

physics.bio-ph2019★ 18 cited

Inhibitory autapse mediates anticipated synchronization between coupled neurons

Marcel A. Pinto, Osvaldo A. Rosso, Fernanda S. Matias

Two identical autonomous dynamical systems unidirectionally coupled in a sender-receiver configuration can exhibit anticipated synchronization (AS) if the Receiver neuron (R) also…

q-fin.ST2018★ 84 cited

An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers

Aurelio F. Bariviera, Luciano Zunino, Osvaldo A. Rosso

This paper discusses the dynamics of intraday prices of twelve cryptocurrencies during last months' boom and bust. The importance of this study lies on the extended coverage of the…

stat.ME2017★ 18 cited

Confidence Intervals and Hypothesis Testing for the Permutation Entropy with an application to Epilepsy

Francisco Traversaro, Francisco Redelico

In nonlinear dynamics, and to a lesser extent in other fields, a widely used measure of complexity is the Permutation Entropy. But there is still no known method to determine the a…

cs.HC2017★ 7 cited

Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes

Guido Giunti, Diego H Giunta, Santiago Hors-Fraile +2

Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is…

q-fin.ST2017★ 24 cited

Quantifying instabilities in Financial Markets

Bruna Amin Gonçalves, Laura Carpi, Osvaldo A. Rosso +2

Financial global crisis has devastating impacts to economies since early XX century and continues to impose increasing collateral damages for governments, enterprises, and society…

cond-mat.stat-mech2017★ 7 cited

Multiscale permutation entropy analysis of laser beam wandering in isotropic turbulence

Felipe Olivares, Luciano Zunino, Damián Gulich +2

We have experimentally quantified the temporal structural diversity from the coordinate fluctuations of a laser beam propagating through isotropic optical turbulence. The main focu…