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Antonella Santone

Antonella Santone

D-Index & Metrics

Computer Science

D-Index
37
Citations
5322
World Ranking
10837
National Ranking
342

Overview

Antonella Santone is affiliated with the University of Molise in Italy and has contributed extensively to research in computer science and medicine. Their work encompasses a broad range of topics, primarily focusing on applications of artificial intelligence and machine learning in medical imaging as well as cybersecurity.

Their research covers key fields of study including:

  • Computer Science
  • Medicine

More specialized subfields where they have published include:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Antonella Santone's main research topics comprise:

  • Advanced Malware Detection Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Network Security and Intrusion Detection
  • AI in cancer detection
  • Software Testing and Debugging Techniques
  • COVID-19 diagnosis using AI
  • Advanced Neural Network Applications

Recent papers authored or co-authored by Antonella Santone include:

  • "Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays" (2020), published in Computer Methods and Programs in Biomedicine
  • "Deep learning for image-based mobile malware detection" (2020), published in Journal of Computer Virology and Hacking Techniques
  • "Towards an interpretable deep learning model for mobile malware detection and family identification" (2021), published in Computers & Security
  • "A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images" (2022), published in IEEE Transactions on Medical Imaging
  • "Machine learning for coronavirus covid-19 detection from chest x-rays" (2020), published in Procedia Computer Science

Their publications appear frequently in these venues:

  • Procedia Computer Science
  • Applied Sciences
  • Journal of Computer Virology and Hacking Techniques
  • Electronics
  • Diagnostics

Collaborations have been a notable part of their research, with frequent co-authors including:

  • Francesco Mercaldo
  • Fabio Martinelli
  • Luca Brunese
  • Mario Cesarelli
  • Giacomo Iadarola

Best Publications

  • Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

    Luca Brunese;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

  • Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Ransomware Steals Your Phone. Formal Methods Rescue It

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone;Corrado Aaron Visaggio

  • An ensemble learning approach for brain cancer detection exploiting radiomic features.

    Luca Brunese;Francesco Mercaldo;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

  • Human behavior characterization for driving style recognition in vehicle system

    Fabio Martinelli;Francesco Mercaldo;Albina Orlando;Vittoria Nardone

  • A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images

    Unknown

  • Car hacking identification through fuzzy logic algorithms

    Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Deep learning for image-based mobile malware detection

    Francesco Mercaldo;Antonella Santone

  • Towards an interpretable deep learning model for mobile malware detection and family identification

    Giacomo Iadarola;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Selective Mu-Calculus and Formula-Based Equivalence of Transition Systems

    Roberto Barbuti;Nicoletta De Francesco;Antonella Santone;Gigliola Vaglini

  • Talos: no more ransomware victims with formal methods

    Aniello Cimitile;Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Machine learning for coronavirus covid-19 detection from chest x-rays

    Luca Brunese;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Ransomware Inside Out

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • CAN-Bus Attack Detection With Deep Learning

    Flora Amato;Luigi Coppolino;Francesco Mercaldo;Francesco Moscato

  • A Neural Network-Based Method for Respiratory Sound Analysis and Lung Disease Detection

    Unknown

  • A “pay-how-you-drive” car insurance approach through cluster analysis

    Maria Francesca Carfora;Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone

  • Deep learning for heart disease detection through cardiac sounds

    Luca Brunese;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Radiomic features for prostate cancer grade detection through formal verification.

    Antonella Santone;Maria Chiara Brunese;Federico Donnarumma;Pasquale Guerriero

  • Visualizing the outcome of dynamic analysis of Android malware with VizMal

    Andrea De Lorenzo;Fabio Martinelli;Eric Medvet;Francesco Mercaldo

  • De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods

    Michele Ceccarelli;Luigi Cerulo;Antonella Santone

  • LEILA: Formal Tool for Identifying Mobile Malicious Behaviour

    Gerardo Canfora;Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone

  • Formal methods for prostate cancer Gleason score and treatment prediction using radiomic biomarkers

    Luca Brunese;Francesco Mercaldo;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

Frequent Co-Authors

Francesco Mercaldo
Francesco Mercaldo University of Molise
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Giuseppe Peter Vanoli
Giuseppe Peter Vanoli University of Molise
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Giuseppe Anastasi
Giuseppe Anastasi University of Pisa
Gerardo Canfora
Gerardo Canfora University of Sannio
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Alessandro Fantechi
Alessandro Fantechi University of Florence
Stefania Gnesi
Stefania Gnesi Institute of Information Science and Technologies

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