| 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 | 118 | 2022 |
| 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 | 63 | 2020 |
| 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 | 23 | 2021 |
| 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 | 23 | 2020 |
| 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 | 12 | 2020 |
| 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 | 10 | 2021 |
| 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 | 10 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 2021 |
| Criminal Network: The Sicilian Mafia.“ L Cavallaro, A Ficara, P De Meo, G Fiumara, S Catanese, O Bagdasar, ... Montagna Operation, 2020 | 5 | 2020 |
| Network science strategies for accelerating the training of artificial neural networks L Cavallaro, O Bagdassar, P De Meo, G Fiumara, A Liotta Numerical Computations: Theory and Algorithms NUMTA 2019, 169, 2019 | 2 | 2019 |
| Miniaturisation of binary classifiers through sparse neural networks L Cavallaro, T Serafin, A Liotta Numerical Computations: Theory and Algorithms NUMTA 2023, 74, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2022 |
| 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, P De Meo, A Liotta, A Provetti, J Zhou Available at SSRN 4160053, 0 | | |
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, ItalyVerified email at unibz.it
