| Electric motor fault detection and diagnosis by kernel density estimation and Kullback–Leibler divergence based on stator current measurements A Giantomassi, F Ferracuti, S Iarlori, G Ippoliti, S Longhi IEEE Transactions on Industrial Electronics 62 (3), 1770-1780, 2014 | 159 | 2014 |
| 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 Monteriu, L Romeo, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (7 …, 2019 | 84 | 2019 |
| Hybrid deep learning (hDL)-based brain-computer interface (BCI) systems: a systematic review NA Alzahab, L Apollonio, A Di Iorio, M Alshalak, S Iarlori, F Ferracuti, ... Brain sciences 11 (1), 75, 2021 | 64 | 2021 |
| 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 | 58 | 2016 |
| 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 | 53 | 2018 |
| Electric motor defects diagnosis based on kernel density estimation and Kullback–Leibler divergence in quality control scenario F Ferracuti, A Giantomassi, S Iarlori, G Ippoliti, S Longhi Engineering Applications of Artificial Intelligence 44, 25-32, 2015 | 34 | 2015 |
| 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 | 31 | 2018 |
| Fire exit signs: The use of neurological activity analysis for quantitative evaluations on their perceptiveness in a virtual environment M Occhialini, G Bernardini, F Ferracuti, S Iarlori, M D’Orazio, S Longhi Fire safety journal 82, 63-75, 2016 | 31 | 2016 |
| 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 | 30 | 2016 |
| Induction motor fault detection and diagnosis using KDE and Kullback-Leibler divergence F Ferracuti, A Giantomassi, S Iarlori, G Ippoliti, S Longhi IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | 28 | 2013 |
| A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface F Ferracuti, V Casadei, I Marcantoni, S Iarlori, L Burattini, A Monteriù, ... Computer Methods and Programs in Biomedicine 191, 105419, 2020 | 23 | 2020 |
| Signal based fault detection and diagnosis for rotating electrical machines: Issues and solutions A Giantomassi, F Ferracuti, S Iarlori, G Ippoliti, S Longhi Complex System Modelling and Control Through Intelligent Soft Computations …, 2015 | 20 | 2015 |
| Auditory paradigm for a P300 BCI system using spatial hearing F Ferracuti, A Freddi, S Iarlori, S Longhi, P Peretti 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 19 | 2013 |
| AAL technologies for independent life of elderly people F Benetazzo, F Ferracuti, A Freddi, A Giantomassi, S Iarlori, S Longhi, ... Ambient Assisted Living: Italian Forum 2014, 329-343, 2015 | 17 | 2015 |
| Kernel canonical variate analysis based management system for monitoring and diagnosing smart homes A Giantomassi, F Ferracuti, S Iarlori, S Longhi, A Fonti, G Comodi 2014 International Joint Conference on Neural Networks (IJCNN), 1432-1439, 2014 | 16 | 2014 |
| A novel computer vision based e-rehabilitation system: From gaming to therapy support L Ciabattoni, F Ferracuti, S Iarlori, S Longhi, L Romeo 2016 IEEE International Conference on Consumer Electronics (ICCE), 43-44, 2016 | 15 | 2016 |
| A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario M Capecci, MG Ceravolo, F D'Orazio, F Ferracuti, S Iarlori, G Lazzaro, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 15 | 2015 |
| Augmenting robot intelligence via EEG signals to avoid trajectory planning mistakes of a smart wheelchair F Ferracuti, A Freddi, S Iarlori, S Longhi, A Monteriù, C Porcaro Journal of Ambient Intelligence and Humanized Computing 14 (1), 223-235, 2023 | 12 | 2023 |
| Rgbd camera monitoring system for Alzheimer's disease assessment using recurrent neural networks with parametric bias action recognition S Iarlori, F Ferracuti, A Giantomassi, S Longhi IFAC Proceedings Volumes 47 (3), 3863-3868, 2014 | 12 | 2014 |
| Comparing between different sets of preprocessing, classifiers, and channels selection techniques to optimise motor imagery pattern classification system from EEG pattern … F Ferracuti, S Iarlori, Z Mansour, A Monteriù, C Porcaro Brain sciences 12 (1), 57, 2021 | 8 | 2021 |
