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Luca Romeo
Luca Romeo
Department Economics and Law, UNIMC
Verified email at unimc.it - Homepage
Title
Cited by
Cited by
Year
Machine Learning approach for Predictive Maintenance in Industry 4.0
M Paolanti, L Romeo, A Felicetti, A Mancini, E Frontoni, J Loncarski
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded …, 2018
1202018
A sequential deep learning application for recognising human activities in smart homes
D Liciotti, M Bernardini, L Romeo, E Frontoni
Neurocomputing 396, 501-513, 2020
832020
Real-time mental stress detection based on smartwatch
L Ciabattoni, F Ferracuti, S Longhi, L Pepa, L Romeo, F Verdini
2017 IEEE International Conference on Consumer Electronics (ICCE), 110-111, 2017
782017
Discovering the type 2 diabetes in electronic health records using the sparse balanced support vector machine
M Bernardini, L Romeo, P Misericordia, E Frontoni
IEEE Journal of Biomedical and Health Informatics 24 (1), 235-246, 2019
592019
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0
M Calabrese, M Cimmino, F Fiume, M Manfrin, L Romeo, S Ceccacci, ...
Information 11 (4), 202, 2020
582020
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
L Romeo, J Loncarski, M Paolanti, G Bocchini, A Mancini, E Frontoni
Expert Systems with Applications 140, 112869, 2020
572020
Accuracy evaluation of the kinect v2 sensor during dynamic movements in a rehabilitation scenario
M Capecci, MG Ceravolo, F Ferracuti, S Iarlori, S Longhi, L Romeo, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
542016
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation
A Monteriù, M Prist, E Frontoni, S Longhi, F Pietroni, S Casaccia, ...
Sensors 18 (7), 2310, 2018
492018
A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment
M Capecci, MG Ceravolo, F Ferracuti, S Iarlori, V Kyrki, A Monteriu, ...
Journal of biomedical informatics 78, 1-11, 2018
402018
Robotic retail surveying by deep learning visual and textual data
M Paolanti, L Romeo, M Martini, A Mancini, E Frontoni, P Zingaretti
Robotics and Autonomous Systems 118, 179-188, 2019
382019
The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation
M Capecci, MG Ceravolo, F Ferracuti, S Iarlori, A Monteriù, L Romeo, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (7 …, 2019
382019
Harnessing the power of smart and connected health to tackle covid-19: Iot, ai, robotics, and blockchain for a better world
F Firouzi, B Farahani, M Daneshmand, K Grise, J Song, R Saracco, ...
IEEE Internet of Things Journal 8 (16), 12826-12846, 2021
322021
Physical rehabilitation exercises assessment based on hidden semi-markov model by kinect v2
M Capecci, MG Ceravolo, F Ferracuti, S Iarlori, V Kyrki, S Longhi, ...
2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016
292016
Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection
M Paolanti, L Romeo, D Liciotti, R Pietrini, A Cenci, E Frontoni, ...
Sensors 18 (10), 3471, 2018
252018
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images
R Rosati, L Romeo, S Silvestri, F Marcheggiani, L Tiano, E Frontoni
Computers in Biology and Medicine 123, 103912, 2020
242020
Early temporal prediction of type 2 diabetes risk condition from a general practitioner electronic health record: A multiple instance boosting approach
M Bernardini, M Morettini, L Romeo, E Frontoni, L Burattini
Artificial Intelligence in Medicine 105, 101847, 2020
232020
An instrumental approach for monitoring physical exercises in a visual markerless scenario: A proof of concept
M Capecci, MG Ceravolo, F Ferracuti, M Grugnetti, S Iarlori, S Longhi, ...
Journal of biomechanics 69, 70-80, 2018
232018
Multiple Instance Learning for Emotion Recognition using Physiological Signals
L Romeo, A Cavallo, L Pepa, N Berthouze, M Pontil
IEEE Transactions on Affective Computing, 2019
212019
Measurement of Users’ Well-Being Through Domotic Sensors and Machine Learning Algorithms
S Casaccia, L Romeo, A Calvaresi, N Morresi, A Monteriù, E Frontoni, ...
IEEE Sensors Journal 20 (14), 8029-8038, 2020
202020
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke
P Sale, G Ferriero, L Ciabattoni, AM Cortese, F Ferracuti, L Romeo, ...
Journal of Stroke and Cerebrovascular Diseases 27 (11), 2962-2972, 2018
202018
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