3.1k citations · 4.9k across the 30 of their papers we have counts for
31 papers
Corrupted bifractal features in finite uncorrelated power-law distributed data
Felipe Olivares, Massimiliano Zanin
Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unveiling multifractal properties, specially when real-world time series are under an…
Assessing time series irreversibility through micro-scale trends
Massimiliano Zanin
Time irreversibility, defined as the lack of invariance of the statistical properties of a system or time series under the operation of time reversal, has received an increasing at…
Time irreversibility of resting brain activity in the healthy brain and pathology
Massimiliano Zanin, Bahar Güntekin, Tuba Aktürk +2
Characterising brain activity at rest is of paramount importance to our understanding both of general principles of brain functioning and of the way brain dynamics is affected in t…
IASIS and BigMedilytics: Towards personalized medicine in Europe
Ernestina Menasalvas Ruiz, Alejandro Rodríguez-González, Consuelo Gonzalo Martín +7
One field of application of Big Data and Artificial Intelligence that is receiving increasing attention is the biomedical domain. The huge volume of data that is customary generate…
Profiling lung cancer patients using electronic health records
Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo +10
If Electronic Health Records contain a large amount of information about the patients condition and response to treatment, which can potentially revolutionize the clinical practice…
Evaluating Wikipedia as a source of information for disease understanding
Eduardo P. Garcia del Valle, Gerardo Lagunes Garcia, Lucia Prieto Santamaria +3
The increasing availability of biological data is improving our understanding of diseases and providing new insight into their underlying relationships. Thanks to the improvements…