Identifying Correlations among Biomedical Data through Information Retrieval Techniques. - Maria Teresa Pellecchia; Maria Frasca; Alessia Auriemma Citarella; Michele Risi; Rita Francese; Genoveffa Tortora; Fabiola De Marco (IV (1), 2019)

A Comparison of Neural Network Approaches for Melanoma Classification. - Maria Frasca; Michele Nappi; Michele Risi; Genoveffa Tortora; Alessia Auriemma Citarella (ICPR, 2020)

On the Limitation of Pathological Iris Recognition: Neural Network Perspectives. - Rita Francese; Maria Frasca; Alfonso Guarino; Delfina Malandrino; Michele Risi; Rocco Zaccagnino; Nicola Lettieri (IV, 2020)

An Augmented Reality Mobile Application for Skin Lesion Data Visualization. - Rita Francese; Maria Frasca; Michele Risi; Genoveffa Tortora (IV, 2020)

Automatic creation of a Vowel Dataset for performing Prosody Analysis in ASD screening. - Rita Francese; Maria Frasca; Michele Risi (IV, 2021)

A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning. - Rita Francese; Maria Frasca; Michele Risi; Genoveffa Tortora (J. Real Time Image Process., 2021)

Are IoBT services accessible to everyone? - Rita Francese; Maria Frasca; Michele Risi (Pattern Recognit. Lett., 2021)

Identifying the Correlation between Alzheimer and type 2 Diabetes. - Rita Francese; Maria Frasca; Michele Risi; Genoveffa Tortora (IV, 2022)

A deep learning and genetic algorithm based feature selection processes on Leukemia Data. - Rita Francese; Maria Frasca; Michele Risi; Genoveffa Tortora (IV, 2022)

User Comprehension of Complexity Design Graph Reports. - Rita Francese; Maria Frasca; Michele Risi; Genoveffa Tortora (Big Data, 2022)

Visualizing correlations among Parkinson biomedical data through information retrieval and machine learning techniques. - Maria Frasca; Genoveffa Tortora (Multim. Tools Appl., 2022)

Combining Convolution Neural Networks with Long-Short Time Memory Layers to Predict Parkinson's Disease Progression. - Maria Frasca; Davide La Torre; Gabriella Pravettoni; Ilaria Cutica (CoRR, 2023)

Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics. - Maria Frasca; Ilaria Cutica; Gabriella Pravettoni; Davide La Torre (MICAD, 2024)

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review. - Maria Frasca; Davide La Torre; Gabriella Pravettoni; Ilaria Cutica (Discov. Artif. Intell., 2024)

An extended Daugman's algorithm for iris with eye pathology recognition. - Maria Frasca; Davide La Torre (Expert Syst. Appl., 2024)

Combining convolution neural networks with long-short term memory layers to predict Parkinson's disease progression. - Maria Frasca; Davide La Torre; Gabriella Pravettoni; Ilaria Cutica (Int. Trans. Oper. Res., 2025)

Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years. - Valentina De Nicoló; Maria Frasca; Agnese Graziosi; Gianluca Gazzaniga; Davide La Torre; Arianna Pani (Discov. Artif. Intell., 2025)