Marcello Di Giammarco

According to our database, Marcello Di Giammarco authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks.

Francesco Mercaldo, Marcello Di Giammarco, Fabrizio Ravelli, Fabio Martinelli, Antonella Santone, Mario Cesarelli

Int. J. Neural Syst., February, 2024

Reliable Leukemia diagnosis and localization through Explainable Deep Learning.

Marcello Di Giammarco, Benedetta Dukic, Fabio Martinelli, Mario Cesarelli, Fabrizio Ravelli, Antonella Santone, Francesco Mercaldo

Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024

2023

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks.

Francesco Mercaldo, Marcello Di Giammarco, Arianna Apicella, Giacomo Iadarola, Mario Cesarelli, Fabio Martinelli, Antonella Santone

Neural Comput. Appl., August, 2023

TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization.

Francesco Mercaldo, Marcello Di Giammarco, Fabrizio Ravelli, Fabio Martinelli, Antonella Santone, Mario Cesarelli

IEEE Access, 2023

Data Poisoning Attacks over Diabetic Retinopathy Images Classification.

Fabio Martinelli, Francesco Mercaldo, Marcello Di Giammarco, Antonella Santone

Proceedings of the IEEE International Conference on Big Data, 2023

2022

High Grade Brain Cancer Segmentation by means of Deep Learning.

Marcello Di Giammarco, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping.

Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the International Joint Conference on Neural Networks, 2022

COVID-19 Detection from Cough Recording by means of Explainable Deep Learning.

Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone, Michele Tavone

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Explainable Deep Learning Methodologies for Biomedical Images Classification.

Marcello Di Giammarco, Francesco Mercaldo, Fabio Martinelli, Antonella Santone

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification.

Mario Cesarelli, Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Explainable Deep Learning for Alzheimer Disease Classification and Localisation.

Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Fabrizio Ravelli, Antonella Santone

AII, 2022