Publications

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2026). GECo: a community-based graph neural network explainer. Computing, 108(4), 55.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2025). Classification of Histopathology Images by Siamese and Triplet Network Embeddings. IEEE ACCESS, 13, 167778-167797.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2024). Explainable histopathology image classification with self-organizing maps: a granular computing perspective. Cognitive Computation, 16(6), 2999-3019.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2023). Metric learning in histopathological image classification: Opening the black box. Sensors, 23(13), 6003.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2024). Leveraging Deep Embeddings for Explainable Medical Image Analysis. In Machine Learning and Granular Computing: A Synergistic Design Environment (pp. 225-261). Cham: Springer Nature Switzerland.

Amato, D., Calderaro, S., D'Arrigo Reitano, L., Lo Bosco, G., Rizzo, R., & Vella, F. (2025, December). Integrating Deep Learning and Radiomic Features for Glioblastoma Treatment Response Classification. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 7399-7406). IEEE.

Amato, D., Bonfiglio, V. M. E., Calderaro, S., Chisci, E., La Felice, A., Lo Bosco, G., Rizzo, R., Vadalà, M., & Vella, F. (2026). CystSeg: A New Dataset for Automatic Cyst Segmentation. In E. Rodolà, F. Galasso, & I. Masi (Eds.), Image Analysis and Processing - ICIAP 2025 Workshops (pp. 611–621). Springer Nature Switzerland.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2024, December). Semantic Segmentation of Gliomas on Brain MRIs by Graph Convolutional Neural Networks. In 2024 International Conference on AI x Data and Knowledge Engineering (AIxDKE) (pp. 143-149). IEEE.

Amato, D., Calderaro, S., Lo Bosco, G., Vella, F., & Rizzo, R. (2025, May). Proteins Transcription Factor Prediction Using Graph Neural Networks. In Computational Intelligence Methods for Bioinformatics and Biostatistics: 19th International Meeting, CIBB 2024, Benevento, Italy, September 4–6, 2024, Revised Selected Papers (Vol. 15276, p. 15). Springer Nature.

Amato, D., Calderaro, S., Marino, G., Vella, F., & Rizzo, R. (2025, May). Transformers for Interpretable Classification of Histopathological Images. In Computational Intelligence Methods for Bioinformatics and Biostatistics: 18th International Meeting, CIBB 2023, Padova, Italy, September 6–8, 2023, Revised Selected Papers (Vol. 14513, p. 70). Springer Nature.

Amato, D., Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2024). Bacteria Taxonomic Classification using Graph Neural Networks. In J. A. I. Martı́nez, R. D. Baruah, D. Kangin, & P. V. de Campos Souza (Eds.), IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024 (pp. 1–6). IEEE.

Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2023). Visualization and analysis of transformer attention. In A. Bruno, A. Pipitone, R. Manzotti, A. Augello, P. L. Mazzeo, F. Vella, et al. (Eds.), Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023), co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023).

Calderaro, S., Lo Bosco, G., Vella, F., & Rizzo, R. (2023). Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings. In I. Rojas, O. Valenzuela, F. R. Ruiz, L. J. Herrera, & F. M. Ortuño (Eds.), Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part II (Vol. 13920, pp. 283–296). Springer.

Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2022). Deep Metric Learning for Histopathological Image Classification. Eighth IEEE International Conference on Multimedia Big Data, BigMM 2022, Naples, Italy, December 5-7, 2022, 57–64.

Calderaro, S., Bosco, Lo Bosco G., Rizzo, R., & Vella, F. (2022). Deep Metric Learning for Transparent Classification of Covid-19 X-Ray Images. In K. Yétongnon, A. Dipanda, & L. Gallo (Eds.), 16th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2022, Dijon, France, October 19-21, 2022 (pp. 300–307). IEEE.

Calderaro, S., Lo Bosco, G., Rizzo, R., & Vella, F. (2022). Fuzzy clustering of histopathological images using deep learning embeddings. In A. Ciaramella, C. Mencar, S. Montes, & S. Rovetta (Eds.), Proceedings of WILF 2021: The 13th International Workshop on Fuzzy Logic and Applications (pp. 1–9). CEUR Workshop Proceedings.