Social Network Analysis of Sicilian Mafia Interconnections. - Annamaria Ficara; Lucia Cavallaro; Pasquale De Meo; Giacomo Fiumara; Salvatore Catanese; Ovidiu Bagdasar; Antonio Liotta (COMPLEX NETWORKS (2), 2019)

Graph Comparison and Artificial Models for Simulating Real Criminal Networks. - Lucia Cavallaro; Annamaria Ficara; Francesco Curreri; Giacomo Fiumara; Pasquale De Meo; Ovidiu Bagdasar; Antonio Liotta (COMPLEX NETWORKS (2), 2020)

Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia. - Lucia Cavallaro; Annamaria Ficara; Pasquale De Meo; Giacomo Fiumara; Salvatore Catanese; Ovidiu Bagdasar; Antonio Liotta (CoRR, 2020)

Artificial neural networks training acceleration through network science strategies. - Lucia Cavallaro; Ovidiu Bagdasar; Pasquale De Meo; Giacomo Fiumara; Antonio Liotta (Soft Comput., 2020)

Criminal Network: The Sicilian Mafia. "Montagna Operation". - Lucia Cavallaro; Annamaria Ficara; Pasquale De Meo; Giacomo Fiumara; Salvatore Catanese; Ovidiu Bagdasar; Wei Song 007; Antonio Liotta (Zenodo, 2020)

Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. - Lucia Cavallaro; Marco Grassia; Giacomo Fiumara; Giuseppe Mangioni; Pasquale De Meo; Vincenza Carchiolo; Ovidiu Bagdasar; Antonio Liotta (COMPLEX NETWORKS, 2021)

Criminal Networks Analysis in Missing Data scenarios through Graph Distances. - Annamaria Ficara; Lucia Cavallaro; Francesco Curreri; Giacomo Fiumara; Pasquale De Meo; Ovidiu Bagdasar; Wei Song 007; Antonio Liotta (CoRR, 2021)

Graph and Network Theory for the analysis of Criminal Networks. - Lucia Cavallaro; Ovidiu Bagdasar; Pasquale De Meo; Giacomo Fiumara; Antonio Liotta (CoRR, 2021)

Analysis on the Effects of Graph Perturbations on Centrality Metrics. - Lucia Cavallaro; Pasquale De Meo; Keyvan Golalipour; Xiaoyang Liu 001; Giacomo Fiumara; Andrea Tagarelli; Antonio Liotta (COMPLEX NETWORKS (2), 2022)

Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning. - Hanan Aljuaid; Nazik Alturki; Najah Alsubaie; Lucia Cavallaro; Antonio Liotta (Comput. Methods Programs Biomed., 2022)

Network Connectivity Under a Probabilistic Node Failure Model. - Lucia Cavallaro; Stefania Costantini; Pasquale De Meo; Antonio Liotta; Giovanni Stilo (IEEE Trans. Netw. Sci. Eng., 2022)

Multi-class Classification Performance Improvements Through High Sparsity Strategies. - Lucia Cavallaro; Tommaso Serafin; Antonio Liotta (COMPLEX NETWORKS (1), 2023)

Miniaturisation of Binary Classifiers Through Sparse Neural Networks. - Lucia Cavallaro; Tommaso Serafin; Antonio Liotta (NUMTA (1), 2023)

Evaluation of High Sparsity Strategies for Efficient Binary Classification. - Laura Erhan; Lucia Cavallaro; Mattia Andrea Antinori; Antonio Liotta (DaWaK, 2024)

Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection. - Amirhossein Douzandeh Zenoozi; Babak Majidi; Lucia Cavallaro; Antonio Liotta (iiWAS (1), 2024)

Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data. - Laura Erhan; Antonio Liotta; Lucia Cavallaro (MoMM, 2024)

Balanced Smoking Detection. - Amirhossein Douzandeh Zenoozi; Babak Majidi; Lucia Cavallaro; Antonio Liotta (Zenodo, 2024)

A comparative study of neural network pruning strategies for industrial applications. - Amirhossein Douzandeh Zenoozi; Laura Erhan; Antonio Liotta; Lucia Cavallaro (Frontiers Comput. Sci., 2025)

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0. - Davide Domini; Laura Erhan; Gianluca Aguzzi; Lucia Cavallaro; Amirhossein Douzandeh Zenoozi; Antonio Liotta; Mirko Viroli (CoRR, 2025)