Maria Frasca

Orcid: 0000-0003-3164-1858

According to our database1, Maria Frasca authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An extended Daugman's algorithm for iris with eye pathology recognition.
Expert Syst. Appl., 2024

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review.
Discov. Artif. Intell., 2024

2023
Combining Convolution Neural Networks with Long-Short Time Memory Layers to Predict Parkinson's Disease Progression.
CoRR, 2023

2022
Visualizing correlations among Parkinson biomedical data through information retrieval and machine learning techniques.
Multim. Tools Appl., 2022

User Comprehension of Complexity Design Graph Reports.
Big Data, 2022

A deep learning and genetic algorithm based feature selection processes on Leukemia Data.
Proceedings of the 26th International Conference Information Visualisation, 2022

Identifying the Correlation between Alzheimer and type 2 Diabetes.
Proceedings of the 26th International Conference Information Visualisation, 2022

2021
Are IoBT services accessible to everyone?
Pattern Recognit. Lett., 2021

A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning.
J. Real Time Image Process., 2021

Automatic creation of a Vowel Dataset for performing Prosody Analysis in ASD screening.
Proceedings of the 25th International Conference Information Visualisation, 2021

2020
An Augmented Reality Mobile Application for Skin Lesion Data Visualization.
Proceedings of the 24th International Conference on Information Visualisation, 2020

On the Limitation of Pathological Iris Recognition: Neural Network Perspectives.
Proceedings of the 24th International Conference on Information Visualisation, 2020

A Comparison of Neural Network Approaches for Melanoma Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Identifying Correlations among Biomedical Data through Information Retrieval Techniques.
Proceedings of the 23rd International Conference on Information Visualisation, 2019


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