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The whole and the parts : The MDL principle and the a-contrario framework
(arXiv, 2021)
This work explores the connections between the Minimum Description Length (MDL) principle as developed by Rissanen, and the a-contrario framework for structure detection proposed by Desolneux, Moisan and Morel. The MDL ...
Py5cheSim : A 5G Multi-Slice Cell Capacity Simulator
(CLEI, 2021)
The fifth generation of mobile communications (5G) is the new 3GPP technology designed to solve a wide range of requirements. On the one hand, it must be able to support high bit rates and ultra-low latency services, and ...
Small-worldness favours network inference in synthetic neural networks
(Nature Research, 2020)
A main goal in the analysis of a complex system is to infer its underlying network structure from timeseries observations of its behaviour. The inference process is often done by using bi-variate similarity measures, such ...
An open source multi-slice cell capacity framework
(CLEI, 2022)
5G is the new 3GPP technology designed to solve a wide range of requirements. On the one hand, it must be able to support high bit rates and ultra-low latency services, and on the other hand, it should be able to connect ...
Istmocele. Reporte de caso
(Sociedad de Obstetricia y Ginecología de Venezuela, 2022)
Analysis and performance of complete homogeneous communication networks
(Udelar. FI, 2018)
In this paper we address a fundamental problem
in communication systems. A fully-connected system is modelled
by a complete graph, where all nodes have identical capacities.
A message is owned by a singleton. If he/she ...
Cytokines: Sensors of the nervous system
(2012)
The central nervous system (CNS) and the immune system share multiple chemical messengers ranging from small molecules, such as corticotropin-releasing factor (CRF) to large proteins, such as cytokines and growth factors. ...
Soft margin training for associative memories implemented by recurrent neural networks
(2007)
In this paper, the authors discuss a new synthesis approach to train associative memories, based on recurrent neural networks (RNNs). They propose to use soft margin training for associative memories, which is efficient ...
Psychobiological studies showing the serotonin involvement in cognition-related behavioral performance
(2013)
Serotonin most often acts as an inhibitory neurotransmitter which also modulates post-synaptic activity within other neurotransmitter systems. Serotonin is synthesized from the essential amino acid tryptophan in Raphe ...
Ehlers-Danlos features with progeroid facies and mild mental retardation: Further delineation of the syndrome
(1986)
A syndrome characterized by progeroid facies, multiple nevi, mild mental retardation, skin hyperextensibility, bruisability, moderate skin fragility, joint hypermobility principally in digits, is described in two unrelated ...