| 2025 | ICDCIT | Invited Paper: Security and Privacy in Large Language and Foundation Models: A Survey on GenAI Attacks. | Giuseppe Francesco Italiano, Alessio Martino, Giorgio Piccardo |
| 2025 | IJCNN | 2025: A GPT Odyssey. Deconstructing Intelligence by Gradual Dissolution of a Transformer. | Enrico De Santis, Alessio Martino, Edoardo Bruno, Antonello Rizzi |
| 2025 | IJCNN | LSTM in Recursive Feedback Loops: A Study on Textual Evolution and Complexity. | Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2023 | IJCNN | A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. | Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2022 | IJCNN | A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. | Giuseppe Granato, Alessio Martino, Antonello Rizzi |
| 2022 | IJCNN | A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. | Enrico De Santis, Francesco Arn, Alessio Martino, Antonello Rizzi |
| 2021 | GLOBECOM | Dynamic Ensemble Inference at the Edge. | Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa |
| 2021 | IJCCI | Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding. | Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2020 | IJCCI | Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. | Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2020 | IJCCI | Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. | Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi |
| 2020 | IJCNN | Exploiting Cliques for Granular Computing-based Graph Classification. | Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2020 | IJCNN | On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. | Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2020 | IJCNN | An Ecology-based Index for Text Embedding and Classification. | Alessio Martino, Enrico De Santis, Antonello Rizzi |
| 2019 | IJCCI | Stochastic Information Granules Extraction for Graph Embedding and Classification. | Luca Baldini, Alessio Martino, Antonello Rizzi |
| 2019 | IJCCI | Calibration Techniques for Binary Classification Problems: A Comparative Analysis. | Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi |
| 2018 | IJCNN | Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. | Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | IJCNN | Supervised Approaches for Protein Function Prediction by Topological Data Analysis. | Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | IJCNN | Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. | Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2017 | IJCCI | ANFIS Synthesis by Clustering for Microgrids EMS Design. | Stefano Leonori, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2017 | IJCCI | Efficient Approaches for Solving the Large-Scale k-medoids Problem. | Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2017 | IJCCI | Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data. | Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |