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2020 – today
- 2021
[j15]Francesco Ferracuti, Sandro Fioretti, Emanuele Frontoni, Sabrina Iarlori, Alessandro Mengarelli, Michele Riccio, Luca Romeo, Federica Verdini:
Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach. Medical Biol. Eng. Comput. 59(1): 41-56 (2021)- 2020
- [j14]Riccardo Rosati
, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni:
Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. IEEE Access 8: 109080-109091 (2020) - [j13]Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini:
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. Artif. Intell. Medicine 105: 101847 (2020) - [j12]Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano, Emanuele Frontoni:
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Comput. Biol. Medicine 123: 103912 (2020) - [j11]Luca Romeo, Jelena Loncarski, Marina Paolanti, Gianluca Bocchini, Adriano Mancini, Emanuele Frontoni:
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. Expert Syst. Appl. 140 (2020) - [j10]Daniele Liciotti, Michele Bernardini, Luca Romeo, Emanuele Frontoni:
A sequential deep learning application for recognising human activities in smart homes. Neurocomputing 396: 501-513 (2020) - [j9]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:
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. Inf. 11(4): 202 (2020) - [j8]Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni:
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. IEEE J. Biomed. Health Informatics 24(1): 235-246 (2020) - [c13]Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni:
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. IJCAI 2020: 4299-4305 - [p1]Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini:
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. Neural Approaches to Dynamics of Signal Exchanges 2020: 35-46
2010 – 2019
- 2019
- [j7]Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini:
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. Comput. Biol. Medicine 112 (2019) - [j6]Marina Paolanti, Luca Romeo, Massimo Martini, Adriano Mancini, Emanuele Frontoni, Primo Zingaretti:
Robotic retail surveying by deep learning visual and textual data. Robotics Auton. Syst. 118: 179-188 (2019) - [c12]Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni:
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. ISCT 2019: 37-40 - 2018
- [j5]Marianna Capecci, Lucio Ciabattoni, Francesco Ferracuti, Andrea Monteriù, Luca Romeo, Federica Verdini:
Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic. IET Comput. Vis. 12(4): 502-512 (2018) - [j4]Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Ville Kyrki, Andrea Monteriù, Luca Romeo, Federica Verdini:
A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment. J. Biomed. Informatics 78: 1-11 (2018) - [j3]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:
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation. Sensors 18(7): 2310 (2018) - [j2]Marina Paolanti, Luca Romeo, Daniele Liciotti, Rocco Pietrini, Annalisa Cenci, Emanuele Frontoni, Primo Zingaretti:
Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. Sensors 18(10): 3471 (2018) - [c11]Lucio Ciabattoni, Gabriele Foresi, Andrea Monteriù, Daniele Proietti Pagnotta, Luca Romeo, Luca Spalazzi, A. De Cesare:
Complex activity recognition system based on cascade classifiers and wearable device data. ICCE 2018: 1-2 - [c10]Chiara Calamanti, Marina Paolanti, Luca Romeo, Michele Bernardini, Emanuele Frontoni:
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. MESA 2018: 1-6 - [c9]Marina Paolanti, Luca Romeo, Andrea Felicetti, Adriano Mancini, Emanuele Frontoni, Jelena Loncarski:
Machine Learning approach for Predictive Maintenance in Industry 4.0. MESA 2018: 1-6 - 2017
- [c8]Lucio Ciabattoni, Emanuele Frontoni, Daniele Liciotti, Marina Paolanti, Luca Romeo:
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. ICCE-Berlin 2017: 67-68 - [c7]Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini:
Real-time mental stress detection based on smartwatch. ICCE 2017: 110-111 - [c6]Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini:
Multimedia experience enhancement through affective computing. ICCE 2017: 182-183 - 2016
- [c5]Marianna Capecci, M. Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Ville Kyrki, Sauro Longhi, Luca Romeo, Federica Verdini:
Physical rehabilitation exercises assessment based on Hidden Semi-Markov Model by Kinect v2. BHI 2016: 256-259 - [c4]Marianna Capecci, M. Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Sauro Longhi, Luca Romeo, Severino N. Russi, Federica Verdini:
Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario. EMBC 2016: 5409-5412 - [c3]Lucio Ciabattoni, Francesco Ferracuti, Giuseppe Lazzaro, Luca Romeo, Federica Verdini:
Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation. ICCE-Berlin 2016: 209-213 - [c2]Lucio Ciabattoni, Francesco Ferracuti, Sabrina Iarlori, Sauro Longhi, Luca Romeo:
A novel computer vision based e-rehabilitation system: From gaming to therapy support. ICCE 2016: 43-44 - 2015
- [j1]Elena Torta, Jim van Heumen, Francesco Piunti, Luca Romeo, Raymond H. Cuijpers:
Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human-Robot Interaction. Int. J. Soc. Robotics 7(1): 89-96 (2015) - [c1]Marianna Capecci, M. Gabriella Ceravolo, F. D'Orazio, Francesco Ferracuti, Sabrina Iarlori, Giuseppe Lazzaro, Sauro Longhi, Luca Romeo, Federica Verdini:
A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario. EMBC 2015: 8034-8037
Coauthor Index
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