Miss Lucia Cavallaro


NameMiss Lucia Cavallaro
Research instituteCollege of Science and Engineering

Research outputs

Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks

Cavallaro, Lucia, Grassia, Marco, Fiumara, Giacomo, Mangioni, Giuseppe, De Meo, Pasquale, Carchiolo, Vincenza, Bagdasar, Ovidiu and Liotta, Antonio 2022. Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. in: Complex Networks & Their Applications X Springer.

Network Features in Complex Applications

Cavallaro, Lucia 2021. Network Features in Complex Applications. Thesis

Social network analysis: the use of graph distances to compare artificial and criminal networks

Ficara, Annamaria, Curreri, Francesco, Cavallaro, Lucia, De Meo, Pasquale, Fiumara, Giacomo, Bagdasar, Ovidiu and Liotta, Antonio 2021. Social network analysis: the use of graph distances to compare artificial and criminal networks. Journal of Smart Environments and Green Computing. https://doi.org/10.20517/jsegc.2021.08

Criminal networks analysis in missing data scenarios through graph distances

Ficara, Annamaria, Cavallaro, Lucia, Curreri, Francesco, Fiumara, Giacomo, De Meo, Pasquale, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2021. Criminal networks analysis in missing data scenarios through graph distances. PLos ONE. 16 (8), p. e0255067. https://doi.org/10.1371/journal.pone.0255067

Graph and Network Theory for the Analysis of Criminal Networks

Cavallaro, Lucia, Bagdasar, Ovidiu, De Meo, Pasquale, Fumara, Giacomo and Liotta, Antonio 2021. Graph and Network Theory for the Analysis of Criminal Networks. in: Springer, Cham.

Artificial neural networks training acceleration through network science strategies

Cavallaro, Lucia, Bagdasar, Ovidiu, De Meo, Pasquale, Fiumara, Giacomo and Liotta, Antonio 2020. Artificial neural networks training acceleration through network science strategies. Soft Computing. https://doi.org/10.1007/s00500-020-05302-y

Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia

Cavallaro, Lucia, Ficara, Annamaria, De Meo, Pasquale, Fiumara, Giacomo, Catanese, Salvatore, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2020. Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia. PLos ONE. 15 (8), p. e0236476. https://doi.org/10.1371/journal.pone.0236476
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