2 citations · 3 across the 5 of their papers we have counts for
7 papers
Probing the statistical properties of enriched co-occurrence networks
Diego R. Amancio, Jeaneth Machicao, Laura V. C. Quispe
Recent studies have explored the addition of virtual edges to word co-occurrence networks using word embeddings to enhance graph representations, particularly for short texts. Whil…
A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata
Kallil M. C. Zielinski, Lucas C. Ribas, Jeaneth Machicao +1
Network modeling has proven to be an efficient tool for many interdisciplinary areas, including social, biological, transport, and many other real world complex systems. In additio…
Chaotical PRNG based on composition of logistic and tent maps using deep-zoom
João Pedro do Valle Alvarenga, Jeaneth Machicao, Odemir Bruno
We proposed the deep zoom analysis of the composition of the logistic map and the tent map, which are well-known discrete unimodal chaotic maps. The deep zoom technique transforms…
Zooming into chaos for a fast, light and reliable cryptosystem
Jeaneth Machicao, Odemir M. Bruno, Murilo S. Baptista
In previous work, the -logistic map [Machicao and Bruno, Chaos, vol. 27, 053116 (2017)] was introduced as a transformation operating in the less significant digits of the Lo…
Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems
Jeaneth Machicao, Marcela Alves, Murilo S. Baptista +1
This paper explores the deep-zoom properties of the chaotic k-logistic map, in order to propose an improved chaos-based cryptosystem. This map was shown to enhance the random featu…
An optimized shape descriptor based on structural properties of networks
Gisele H. B. Miranda, Jeaneth Machicao, Odemir M. Bruno
The structural analysis of shape boundaries leads to the characterization of objects as well as to the understanding of shape properties. The literature on graphs and networks have…