Salvatore Calderaro

According to our database, Salvatore Calderaro authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

GECo: a community-based graph neural network explainer.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Computing, April, 2026

2025

Classification of Histopathology Images by Siamese and Triplet Network Embeddings.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

IEEE Access, 2025

CystSeg: A New Dataset for Automatic Cyst Segmentation.

Domenico Amato, Vincenza Maria Elena Bonfiglio, Salvatore Calderaro, Enea Chisci, Alberto La Felice, Giosuè Lo Bosco, Riccardo Rizzo, Maria Vadalà, Filippo Vella

Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

Integrating Deep Learning and Radiomic Features for Glioblastoma Treatment Response Classification.

Domenico Amato, Salvatore Calderaro, Luca D'Arrigo Reitano, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Cogn. Comput., November, 2024

The GECo algorithm for Graph Neural Networks Explanation.

Salvatore Calderaro, Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

CoRR, 2024

Bacteria Taxonomic Classification using Graph Neural Networks.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

Proteins Transcription Factor Prediction Using Graph Neural Networks.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Filippo Vella, Riccardo Rizzo

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2024

2023

Metric Learning in Histopathological Image Classification: Opening the Black Box.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Sensors, July, 2023

Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings.

Salvatore Calderaro, Giosuè Lo Bosco, Filippo Vella, Riccardo Rizzo

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Transformers for Interpretable Classification of Histopathological Images.

Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Giuseppe Marino, Filippo Vella, Riccardo Rizzo

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2023

Visualization and Analysis of Transformer Attention.

Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

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), 2023

2022

Deep Metric Learning for Transparent Classification of Covid-19 X-Ray Images.

Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Deep Metric Learning for Histopathological Image Classification.

Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

2021

Fuzzy clustering of histopathological images using deep learning embeddings.

Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella

Proceedings of WILF 2021, 2021