Stefano Marrone

Orcid: 0000-0001-6852-0377

Affiliations:
  • University of Naples Federico II, Italy


According to our database1, Stefano Marrone authored at least 65 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Realistic Fingerprint Presentation Attacks Based on an Adversarial Approach.
IEEE Trans. Inf. Forensics Secur., 2024

Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond.
Simul., 2024

Artificial intelligence tools in the ongoing fight against bullying and cyberbullying: a multidisciplinary approach.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

AI in Cybersecurity: Activities of the CINI-AIIS Lab at University of Naples Federico II.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024


AI for Sustainability: Activities of the CINI-AIIS Lab at University of Naples Federico II.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Responsibile and Reliable AI: Activities of the CINI-AIIS Lab at University of Naples Federico II.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023
Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction.
Remote. Sens., November, 2023

Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture.
J. Reliab. Intell. Environ., September, 2023

Transformers in the Real World: A Survey on NLP Applications.
Inf., April, 2023

Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection.
IET Biom., March, 2023

ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation.
J. Imaging, 2023

VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images.
J. Imaging, 2023

Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project.
Inf., 2023

Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance.
Eng. Appl. Artif. Intell., 2023

Responsible and Reliable AI at PICUS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023

AI and Sustainability: Territorial Monitoring and Waste Valorization.
Proceedings of the Italia Intelligenza Artificiale, 2023

Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project.
Proceedings of the Italia Intelligenza Artificiale, 2023

Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023

Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication.
Proceedings of the Italia Intelligenza Artificiale, 2023

AI in healthcare: Activities of the University of Naples Federico II node of the CINI-AIIS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023

AI-Powered Learning: Personalizing Education for each Student.
Proceedings of the Italia Intelligenza Artificiale, 2023

Digitizer: A Synthetic Dataset for Well-Log Analysis.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

FEAD-D: Facial Expression Analysis in Deepfake Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

The European AI Tango: Balancing Regulation Innovation and Competitiveness.
Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023

Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Analyzing the Similarity between Artificial and Training Images in Generative Models: The PicusLabMed Contribution.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U).
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

2022
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification.
J. Imaging, December, 2022

Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications.
IEEE Trans. Intell. Transp. Syst., 2022

Data Learning: Integrating Data Assimilation and Machine Learning.
J. Comput. Sci., 2022

ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery.
Future Internet, 2022

A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance.
IEEE Access, 2022

Developing a Human Centred AI Masters: the Good, the Bad and the Ugly.
Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

LessonAble: Leveraging Deep Fakes in MOOC Content Creation.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Toward a System for Post-Earthquake Safety Evaluation of Masonry Buildings.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Identifying Users' Emotional States through Keystroke Dynamics.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021
On the transferability of adversarial perturbation attacks against fingerprint based authentication systems.
Pattern Recognit. Lett., 2021

DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI.
Pattern Recognit. Lett., 2021

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI.
J. Imaging, 2021

Effects of hidden layer sizing on CNN fine-tuning.
Future Gener. Comput. Syst., 2021

2020
Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Developing a Smart PACS: CBIR System Using Deep Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Neural Machine Registration for Motion Correction in Breast DCE-MRI.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fingerprint Adversarial Presentation Attack in the Physical Domain.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
HOLMeS: eHealth in the Big Data and Deep Learning Era.
Inf., 2019

An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Adversarial Perturbations Against Fingerprint Based Authentication Systems.
Proceedings of the 2019 International Conference on Biometrics, 2019

Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures.
Proceedings of the 27th European Signal Processing Conference, 2019

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns.
IET Comput. Vis., 2018

On Reproducibility of Deep Convolutional Neural Networks Approaches.
Proceedings of the Reproducible Research in Pattern Recognition, 2018

2017
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Chatbots Meet eHealth: Automatizing Healthcare.
Proceedings of the Workshop on Artificial Intelligence with Application in Health co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
A secure, scalable and versatile multi-layer client-server architecture for remote intelligent data processing.
J. Reliab. Intell. Environ., 2015

Data-driven selection of motion correction techniques in breast DCE-MRI.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015

2014
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Automatic Lesion Detection in Breast DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013


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