Luca Romeo - RankMe

65 papers A* 1C 6Journal 40Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel multi-task multi-view approach with custom multi-label loss for fault detection in complex industrial apparatus. Adv. Eng. Informatics Riccardo Rosati, Lucia Pepa, Luca Romeo
2026	J	`jnl`	Deep learning models for robust facial liveness detection. Multim. Tools Appl. Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati, Andrea Maranesi, Alessandro Muscatello
2026	J	`jnl`	Machine Learning-Based Clinical Decision Support System for Hepatic Fibrosis Risk Prediction in General Practice. ACM Trans. Comput. Heal. Michele Bernardini, Mariachiara Di Cosmo, Gaia Barone, Luca Romeo, Emanuele Frontoni
2026	J	`jnl`	Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression. Appl. Soft Comput. Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
2025	J	`jnl`	Deep Learning Models for Robust Facial Liveness Detection. CoRR Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati, Andrea Maranesi, Alessandro Muscatello
2025	—	`conf`	Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification. IWANN (1) Francisco Bérchez-Moreno, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025	J	`jnl`	Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. IEEE Trans. Neural Networks Learn. Syst. Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez
2025	J	`jnl`	Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance. Comput. Ind. Eng. Riccardo Rosati, Luca Romeo, Adriano Mancini
2024	J	`jnl`	Corrections to "On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security". IEEE Access Oleksandr Kuznetsov, Paolo Sernani, Luca Romeo, Emanuele Frontoni, Adriano Mancini
2024	J	`jnl`	Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis. Multim. Tools Appl. Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati
2024	J	`jnl`	Image steganalysis using deep learning models. Multim. Tools Appl. Alexandr Kuznetsov, Nicolas Luhanko, Emanuele Frontoni, Luca Romeo, Riccardo Rosati
2024	J	`jnl`	Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour. IEEE Trans. Affect. Comput. Luca Romeo, Temitayo A. Olugbade, Massimiliano Pontil, Nadia Bianchi-Berthouze
2024	—	`conf`	Neighborhood Component Feature Selection for Multiple Instance Learning Paradigm. ECML/PKDD (1) Giacomo Turri, Luca Romeo
2024	J	`jnl`	On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security. IEEE Access Oleksandr Kuznetsov, Paolo Sernani, Luca Romeo, Emanuele Frontoni, Adriano Mancini
2023	J	`jnl`	A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023	J	`jnl`	A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023	J	`jnl`	A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. Comput. Biol. Medicine Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
2023	C	`conf`	Data augmentation strategy for generating realistic samples on defect segmentation task. ISM Massimo Martini, Riccardo Rosati, Luca Romeo, Adriano Mancini
2023	J	`jnl`	Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023	J	`jnl`	Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. Appl. Soft Comput. Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023	J	`jnl`	From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0. J. Intell. Manuf. Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni
2023	C	`conf`	Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach. ISM Denis Bernovschi, Alex Giacomini, Riccardo Rosati, Luca Romeo
2023	—	`ed.`	Proceedings of the 2nd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2022) co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIIA 2022), Online, originally held in Milan, Italy, December 2nd, 2022. AIABI@AIIA Francesco Epifania, Luca Marconi, Ricardo A. Matamoros A., Riccardo Rosati, Emanuele Frontoni, Luca Romeo
2022	J	`jnl`	A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign. Pattern Recognit. Luca Romeo, Emanuele Frontoni
2022	J	`jnl`	A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
2022	J	`jnl`	Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection. IEEE Trans Autom. Sci. Eng. Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù, Luca Romeo
2022	J	`jnl`	Multiple Instance Learning for Emotion Recognition Using Physiological Signals. IEEE Trans. Affect. Comput. Luca Romeo, Andrea Cavallo, Lucia Pepa, Nadia Bianchi-Berthouze, Massimiliano Pontil
2022	—	`conf`	Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni
2021	J	`jnl`	A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy. IEEE Access Michele Bernardini, Luca Romeo, Adriano Mancini, Emanuele Frontoni
2021	J	`jnl`	A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE J. Biomed. Health Informatics Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
2021	J	`jnl`	Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach. Medical Biol. Eng. Comput. Francesco Ferracuti, Sandro Fioretti, Emanuele Frontoni, Sabrina Iarlori, Alessandro Mengarelli, Michele Riccio, Luca Romeo, Federica Verdini
2021	J	`jnl`	Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, JaeSeung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo
2020	—	`conf`	3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset. ICPR Workshops (1) Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni
2020	—	`conf`	A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. ICPR Workshops (4) Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni
2020	A*	`conf`	A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. IJCAI Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni
2020	J	`jnl`	A sequential deep learning application for recognising human activities in smart homes. Neurocomputing Daniele Liciotti, Michele Bernardini, Luca Romeo, Emanuele Frontoni
2020	—	`conf`	Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? ICPR Workshops (4) Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni
2020	—	`ch.`	Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. Neural Approaches to Dynamics of Signal Exchanges Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini
2020	J	`jnl`	Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. IEEE J. Biomed. Health Informatics Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni
2020	J	`jnl`	Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. Artif. Intell. Medicine Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
2020	J	`jnl`	Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Comput. Biol. Medicine Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano, Emanuele Frontoni
2020	J	`jnl`	Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. IEEE Access Riccardo Rosati, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni
2020	J	`jnl`	Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. Expert Syst. Appl. Luca Romeo, Jelena Loncarski, Marina Paolanti, Gianluca Bocchini, Adriano Mancini, Emanuele Frontoni
2020	J	`jnl`	SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. Inf. Matteo Calabrese, Martin Cimmino, Francesca Fiume, Martina Manfrin, Luca Romeo, Silvia Ceccacci, Marina Paolanti, Giuseppe Toscano, Giovanni Ciandrini, Alberto Carrotta, Maura Mengoni, Emanuele Frontoni, Dimos Kapetis
2019	—	`conf`	Measuring Environmental Data and Physiological Parameters at Home to Assess the Caregiver Burden in Assistants of People with Dementia. ForItAAL Sara Casaccia, Andrea Calvaresi, Nicole Morresi, Lorenzo Scalise, Andrea Monteriù, Luca Romeo, Emanuele Frontoni, Gian Marco Revel
2019	J	`jnl`	Robotic retail surveying by deep learning visual and textual data. Robotics Auton. Syst. Marina Paolanti, Luca Romeo, Massimo Martini, Adriano Mancini, Emanuele Frontoni, Primo Zingaretti
2019	—	`conf`	Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. ISCT Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni
2019	J	`jnl`	TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. Comput. Biol. Medicine Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
2018	J	`jnl`	A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment. J. Biomed. Informatics Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Ville Kyrki, Andrea Monteriù, Luca Romeo, Federica Verdini
2018	J	`jnl`	A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation. Sensors Andrea Monteriù, Mariorosario Prist, Emanuele Frontoni, Sauro Longhi, Filippo Pietroni, Sara Casaccia, Lorenzo Scalise, Annalisa Cenci, Luca Romeo, Riccardo Berta, Loreto Pescosolido, Gianni Orlandi, Gian Marco Revel
2018	J	`jnl`	Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic. IET Comput. Vis. Marianna Capecci, Lucio Ciabattoni, Francesco Ferracuti, Andrea Monteriù, Luca Romeo, Federica Verdini
2018	C	`conf`	Complex activity recognition system based on cascade classifiers and wearable device data. ICCE Lucio Ciabattoni, Gabriele Foresi, Andrea Monteriù, Daniele Proietti Pagnotta, Luca Romeo, Luca Spalazzi, A. De Cesare
2018	—	`conf`	Machine Learning approach for Predictive Maintenance in Industry 4.0. MESA Marina Paolanti, Luca Romeo, Andrea Felicetti, Adriano Mancini, Emanuele Frontoni, Jelena Loncarski
2018	—	`conf`	Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. MESA Chiara Calamanti, Marina Paolanti, Luca Romeo, Michele Bernardini, Emanuele Frontoni
2018	J	`jnl`	Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. Sensors Marina Paolanti, Luca Romeo, Daniele Liciotti, Rocco Pietrini, Annalisa Cenci, Emanuele Frontoni, Primo Zingaretti
2017	—	`conf`	A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. ICCE-Berlin Lucio Ciabattoni, Emanuele Frontoni, Daniele Liciotti, Marina Paolanti, Luca Romeo
2017	C	`conf`	Multimedia experience enhancement through affective computing. ICCE Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini
2017	C	`conf`	Real-time mental stress detection based on smartwatch. ICCE Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini
2016	C	`conf`	A novel computer vision based e-rehabilitation system: From gaming to therapy support. ICCE Lucio Ciabattoni, Francesco Ferracuti, Sabrina Iarlori, Sauro Longhi, Luca Romeo
2016	—	`conf`	Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario. EMBC Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Sauro Longhi, Luca Romeo, Severino N. Russi, Federica Verdini
2016	—	`conf`	Physical rehabilitation exercises assessment based on Hidden Semi-Markov Model by Kinect v2. BHI Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Ville Kyrki, Sauro Longhi, Luca Romeo, Federica Verdini
2016	—	`conf`	Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation. ICCE-Berlin Lucio Ciabattoni, Francesco Ferracuti, Giuseppe Lazzaro, Luca Romeo, Federica Verdini
2015	—	`conf`	A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario. EMBC Marianna Capecci, Maria Gabriella Ceravolo, Fabrizio D'Orazio, Francesco Ferracuti, Sabrina Iarlori, Giuseppe Lazzaro, Sauro Longhi, Luca Romeo, Federica Verdini
2015	J	`jnl`	Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human-Robot Interaction. Int. J. Soc. Robotics Elena Torta, Jim van Heumen, Francesco Piunti, Luca Romeo, Raymond H. Cuijpers
2014	—	`conf`	Modular design of a novel wireless sensor node for smart environments. MESA Massimo Grisostomi, Lucio Ciabattoni, Mariorosario Prist, Luca Romeo, Gianluca Ippoliti, Sauro Longhi