Luca Romeo

Marche Polytechnic University — Italy

Health Professions · Health Sciences

29h-index2.8kcitations98works10.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Artificial Intelligence in Healthcare(13), Industrial Vision Systems and Defect Detection(12), Machine Learning in Healthcare(9), Context-Aware Activity Recognition Systems(7), Stroke Rehabilitation and Recovery(7)

Publications98 total

Deep learning models for robust facial liveness detection
Multimedia Tools and Applications·2026
Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification
Lecture notes in computer science·2025
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care
Diabetes Research and Clinical Practice·2025· 1 cited
Deep Learning Models for Robust Facial Liveness Detection
arXiv (Cornell University)·2025Open Access
ML-predicted surgical site infections: An epidemiological study utilizing machine learning on routinely collected healthcare data to predict infection risk
Smart Health·2025· 2 citedOpen Access
Deep Learning Model for Detecting Copy-Move Attack in Images
2025
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance
Computers & Industrial Engineering·2024· 1 citedOpen Access
Algor-ethics: charting the ethical path for AI in critical care
Journal of Clinical Monitoring and Computing·2024· 25 citedOpen Access
Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers
IEEE Transactions on Neural Networks and Learning Systems·2024· 4 citedOpen Access
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis
Multimedia Tools and Applications·2024· 19 cited
Data augmentation strategy for generating realistic samples on defect segmentation task
Procedia Computer Science·2024· 3 citedOpen Access
Neighborhood Component Feature Selection for Multiple Instance Learning Paradigm
Lecture notes in computer science·2024
Corrections to “On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security”
IEEE Access·2024Open Access
On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security
IEEE Access·2024· 106 citedOpen Access
Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach
Procedia Computer Science·2024· 1 citedOpen Access
Image steganalysis using deep learning models
Multimedia Tools and Applications·2023· 14 cited
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour
IEEE Transactions on Affective Computing·2023· 1 citedOpen Access
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets
Computers in Biology and Medicine·2023· 34 citedOpen Access
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Engineering Applications of Artificial Intelligence·2023· 15 citedOpen Access
Optimizing Hill Climbing Algorithm for S-Boxes Generation
Electronics·2023· 21 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Emanuele Frontoni(32), Michele Bernardini(10), Francesco Ferracuti(10), Riccardo Rosati(9), Adriano Mancini(8), Marina Paolanti(7), Sabrina Iarlori(7), Federica Verdini(7), Sauro Longhi(7), Marianna Capecci(6), Maria Gabriella Ceravolo(6), Andrea Monteriù(6), Alexandr Kuznetsov(5), Lucio Ciabattoni(4), Andrea Cavallo(4), Massimiliano Pontil(4), Víctor Manuel Vargas(4), Pedro Antonio Gutiérrez(4), César Hervás‐Martínez(4), Jelena Loncarski(3)