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2020 – today
- 2023
[j24]Víctor Manuel Vargas
, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. 144: 103786 (2023)- [j23]Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni:
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. 34(1): 107-121 (2023) - 2022
- [j22]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni:
A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. 34(14): 11625-11639 (2022) - [j21]Luca Romeo, Emanuele Frontoni:
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign. Pattern Recognit. 121: 108197 (2022) - [j20]Luca Romeo, Andrea Cavallo, Lucia Pepa, Nadia Bianchi-Berthouze, Massimiliano Pontil:
Multiple Instance Learning for Emotion Recognition Using Physiological Signals. IEEE Trans. Affect. Comput. 13(1): 389-407 (2022) - [j19]Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù, Luca Romeo:
Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection. IEEE Trans Autom. Sci. Eng. 19(3): 1997-2007 (2022) - [c19]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni:
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO 2022: 239-249 - 2021
- [j18]Michele Bernardini, Luca Romeo, Adriano Mancini, Emanuele Frontoni:
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy. IEEE Access 9: 151864-151872 (2021) - [j17]Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. 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:
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. 8(16): 12826-12846 (2021) - [j16]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(7-8): 41-56 (2021) - [j15]Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini:
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE J. Biomed. Health Informatics 25(10): 3983-3994 (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) - [c18]Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni:
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) 2020: 14-25 - [c17]Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni:
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? ICPR Workshops (4) 2020: 637-649 - [c16]Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni:
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. ICPR Workshops (4) 2020: 662-674 - [c15]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) - [c14]Sara Casaccia, Andrea Calvaresi, Nicole Morresi, Lorenzo Scalise, Andrea Monteriù, Luca Romeo, Emanuele Frontoni, Gian Marco Revel:
Measuring Environmental Data and Physiological Parameters at Home to Assess the Caregiver Burden in Assistants of People with Dementia. ForItAAL 2019: 3-13 - [c13]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) - [c12]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 - [c11]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 - [c10]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
- [c9]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 - [c8]Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini:
Real-time mental stress detection based on smartwatch. ICCE 2017: 110-111 - [c7]Lucio Ciabattoni, Francesco Ferracuti, Sauro Longhi, Lucia Pepa, Luca Romeo, Federica Verdini:
Multimedia experience enhancement through affective computing. ICCE 2017: 182-183 - 2016
- [c6]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 - [c5]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 - [c4]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 - [c3]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) - [c2]Marianna Capecci, Maria Gabriella Ceravolo, Fabrizio 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 - 2014
- [c1]Massimo Grisostomi, Lucio Ciabattoni, Mariorosario Prist, Luca Romeo, Gianluca Ippoliti, Sauro Longhi:
Modular design of a novel wireless sensor node for smart environments. MESA 2014: 1-5
Coauthor Index
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last updated on 2023-03-22 22:20 CET by the dblp team
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