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Francesco Mercaldo

Francesco Mercaldo

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
42
Citations
5996
World Ranking
575
National Ranking
9

Computer Science

D-Index
45
Citations
7148
World Ranking
7281
National Ranking
187

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Francesco Mercaldo is affiliated with the University of Molise in Italy and works primarily in the fields of computer science and medicine. Their research spans a variety of subfields including artificial intelligence, signal processing, radiology, nuclear medicine, imaging, computer vision, pattern recognition, and computer networks and communications.

The scientist has contributed extensively to several main topics, notably:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Radiomics and Machine Learning in Medical Imaging
  • AI in Cancer Detection
  • Software Testing and Debugging Techniques
  • Advanced Neural Network Applications
  • COVID-19 Diagnosis Using AI

Among the recent papers associated with Francesco Mercaldo are:

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

Frequent coauthors in the scientist's body of work include:

  • Antonella Santone
  • Fabio Martinelli
  • Mario Cesarelli
  • Luca Brunese
  • Giacomo Iadarola

Prominent publication venues for Francesco Mercaldo include:

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

Francesco Mercaldo has also contributed a book titled Artificial Intelligence for Cybersecurity, published by Springer Nature in 2022.

Best Publications

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

    Luca Brunese;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

  • Android malware detection based on system call sequences and LSTM

    Xi Xiao;Shaofeng Zhang;Francesco Mercaldo;Guangwu Hu

  • Classification of ransomware families with machine learning based on N-gram of opcodes

    Hanqi Zhang;Hanqi Zhang;Xi Xiao;Francesco Mercaldo;Shiguang Ni

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

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Detecting Android malware using sequences of system calls

    Gerardo Canfora;Eric Medvet;Francesco Mercaldo;Corrado Aaron Visaggio

  • Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware

    Gerardo Canfora;Andrea De Lorenzo;Eric Medvet;Francesco Mercaldo

  • 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

  • R-PackDroid: API package-based characterization and detection of mobile ransomware

    Davide Maiorca;Francesco Mercaldo;Giorgio Giacinto;Corrado Aaron Visaggio

  • 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

  • Evaluating Convolutional Neural Network for Effective Mobile Malware Detection

    Fabio Martinelli;Fiammetta Marulli;Francesco Mercaldo

  • A Classifier of Malicious Android Applications

    Gerardo Canfora;Francesco Mercaldo;Corrado Aaron Visaggio

  • An HMM and structural entropy based detector for Android malware

    Gerardo Canfora;Francesco Mercaldo;Corrado Aaron Visaggio

  • TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

    Unknown

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

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

  • On the effectiveness of system API-related information for Android ransomware detection

    Michele Scalas;Davide Maiorca;Francesco Mercaldo;Corrado Aaron Visaggio

  • 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

  • Android apps and user feedback: a dataset for software evolution and quality improvement

    Giovanni Grano;Andrea Di Sorbo;Francesco Mercaldo;Corrado A. Visaggio

Frequent Co-Authors

Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Antonella Santone
Antonella Santone University of Molise
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Gerardo Canfora
Gerardo Canfora University of Sannio
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Giorgio Giacinto
Giorgio Giacinto University of Cagliari
Giuseppe Peter Vanoli
Giuseppe Peter Vanoli University of Molise
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Sebastiano Panichella
Sebastiano Panichella University of Zurich

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