output
20022026
most citedFinding statistically significant communities in networks

1.2k citations

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212 papers · 1 filter

cond-mat.mtrl-sci2024★ 4 cited

A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information

Simone Martino, Domiziano Doria, Chiara Lionello +2

Reconstructing the physical complexity of many-body dynamical systems can be challenging. Starting from the trajectories of their constitutive units (raw data), typical approaches…

cs.RO2024★ 12 cited

Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning

Dario Di Domenico, Nicolò Boccardo, Andrea Marinelli +4

Noninvasive human-machine interfaces such as surface electromyography (sEMG) have long been employed for controlling robotic prostheses. However, classical controllers are limited…

cond-mat.supr-con2024

Optical and transport properties of Ba(FeNi)As films

Yurii A. Aleshchenko, Andrey V. Muratov, Elena S. Zhukova +4

The broad-band optical spectroscopy was used to study the optical and the hidden transport properties of the Ba(FeNi)As superconducting films with different Ni…

math.ST2024★ 1 cited

On sums of dependent random lifetimes under the Time Transformed Exponential model

Jorge Navarro, Franco Pellerey, Julio Mulero

Considered a pair of random lifetimes whose dependence is described by a Time Transformed Exponential model, we provide analytical expressions for the distribution of their sum. Th…

hep-th2024★ 4 cited

Non-Lorentzian Supergravity and Kinematical Superalgebras

Patrick Concha, Lucrezia Ravera

In this paper, we present and classify the supersymmetric extensions of extended kinematical algebras, at the basis of non-Lorentzian physics theories. The diverse kinematical supe…

physics.data-an2024★ 5 cited

Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data

Domiziano Doria, Simone Martino, Matteo Becchi +1

In general, comprehension of any type of complex system depends on the resolution used to examine the phenomena occurring within it. However, identifying a priori, for example, the…