Miss Lucia Cavallaro
Name | Miss Lucia Cavallaro |
---|---|
Research institute | College 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. ThesisSocial 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.2021.08Criminal 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.0255067Graph 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-yDisrupting 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.0236476126
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