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Lucia Cavallaro, PhD
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Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
H Aljuaid, N Alturki, N Alsubaie, L Cavallaro, A Liotta
Computer Methods and Programs in Biomedicine 223, 106951, 2022
1342022
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia
L Cavallaro, A Ficara, P De Meo, G Fiumara, S Catanese, O Bagdasar, ...
Plos one 15 (8), e0236476, 2020
682020
Social network analysis of Sicilian Mafia interconnections
A Ficara, L Cavallaro, P De Meo, G Fiumara, S Catanese, O Bagdasar, ...
Complex Networks and Their Applications VIII: Volume 2 Proceedings of the …, 2020
252020
Criminal networks analysis in missing data scenarios through graph distances
A Ficara, L Cavallaro, F Curreri, G Fiumara, P De Meo, O Bagdasar, ...
PLoS one 16 (8), e0255067, 2021
232021
Artificial neural networks training acceleration through network science strategies
L Cavallaro, O Bagdasar, P De Meo, G Fiumara, A Liotta
Soft Computing 24 (23), 17787-17795, 2020
132020
Graph comparison and artificial models for simulating real criminal networks
L Cavallaro, A Ficara, F Curreri, G Fiumara, P De Meo, O Bagdasar, ...
Complex Networks & Their Applications IX: Volume 2, Proceedings of the Ninth …, 2021
102021
Graph and network theory for the analysis of criminal networks
L Cavallaro, O Bagdasar, P De Meo, G Fiumara, A Liotta
Data Science and Internet of Things: Research and Applications at the …, 2021
102021
Network connectivity under a probabilistic node failure model
L Cavallaro, S Costantini, P De Meo, A Liotta, G Stilo
IEEE Transactions on Network Science and Engineering 9 (4), 2463-2480, 2022
82022
Social network analysis: The use of graph distances to compare artificial and criminal networks
A Ficara, F Curreri, L Cavallaro, P De Meo, G Fiumara, O Bagdasar, ...
Journal of Smart Environments and Green Computing, 2021
52021
Criminal Network: The Sicilian Mafia.“
L Cavallaro, A Ficara, P De Meo, G Fiumara, S Catanese, O Bagdasar, ...
Montagna Operation, 2020
52020
Network science strategies for accelerating the training of artificial neural networks
L Cavallaro, O Bagdasar, P De Meo, G Fiumara, A Liotta
Numerical Computations: Theory and Algorithms NUMTA 2019, 169, 2019
22019
Miniaturisation of binary classifiers through sparse neural networks
L Cavallaro, T Serafin, A Liotta
Numerical Computations: Theory and Algorithms NUMTA 2023, 74, 2023
12023
Analysis on the Effects of Graph Perturbations on Centrality Metrics
L Cavallaro, P De Meo, K Golalipour, X Liu, G Fiumara, A Tagarelli, ...
International Conference on Complex Networks and Their Applications, 433-444, 2022
12022
On the sensitivity of centrality metrics
L Cavallaro, P De Meo, G Fiumara, A Liotta
Plos one 19 (5), e0299255, 2024
2024
Multi-class Classification Performance Improvements Through High Sparsity Strategies
L Cavallaro, T Serafin, A Liotta
International Conference on Complex Networks and Their Applications, 331-338, 2023
2023
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
L Cavallaro, M Grassia, G Fiumara, G Mangioni, P De Meo, V Carchiolo, ...
Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022
2022
Network Features in Complex Applications
L Cavallaro
PQDT-UK & Ireland, 2021
2021
Influence Maximisation with Budget Constraints and Node Fragility
L Cavallaro, S Costantini, A Liotta, A Provetti, J Zhou
Available at SSRN 4160053, 0
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