| Online fall detection using recurrent neural networks on smart wearable devices M Musci, D De Martini, N Blago, T Facchinetti, M Piastra IEEE Transactions on Emerging Topics in Computing 9 (3), 1276-1289, 2020 | 86 | 2020 |
| Online fall detection using recurrent neural networks M Musci, D De Martini, N Blago, T Facchinetti, M Piastra arXiv preprint arXiv:1804.04976, 2018 | 81 | 2018 |
| Embedded real-time fall detection with deep learning on wearable devices E Torti, A Fontanella, M Musci, N Blago, D Pau, F Leporati, M Piastra 2018 21st euromicro conference on digital system design (DSD), 405-412, 2018 | 71 | 2018 |
| Therapy-driven deep glucose forecasting EM Aiello, G Lisanti, L Magni, M Musci, C Toffanin Engineering Applications of Artificial Intelligence 87, 103255, 2020 | 46 | 2020 |
| Embedding recurrent neural networks in wearable systems for real-time fall detection E Torti, A Fontanella, M Musci, N Blago, D Pau, F Leporati, M Piastra Microprocessors and Microsystems 71, 102895, 2019 | 44 | 2019 |
| Gaze-based biometrics: An introduction to forensic applications V Cantoni, M Musci, N Nugrahaningsih, M Porta Pattern Recognition Letters 113, 54-57, 2018 | 21 | 2018 |
| Deep recurrent neural networks for edge monitoring of personal risk and warning situations E Torti, M Musci, F Guareschi, F Leporati, M Piastra Scientific Programming 2019 (1), 9135196, 2019 | 13 | 2019 |
| MPI‐CMS: a hybrid parallel approach to geometrical motif search in proteins M Ferretti, M Musci, L Santangelo Concurrency and Computation: Practice and Experience 27 (18), 5500-5516, 2015 | 11 | 2015 |
| Geometrical motifs search in proteins: A parallel approach M Ferretti, M Musci Parallel Computing 42, 60-74, 2015 | 11 | 2015 |
| Entire motifs search of secondary structures in proteins: a parallelization study M Ferretti, M Musci Proceedings of the 20th European MPI Users' Group Meeting, 199-204, 2013 | 10 | 2013 |
| CCMS: A greedy approach to motif extraction G Drago, M Ferretti, M Musci New Trends in Image Analysis and Processing–ICIAP 2013: ICIAP 2013 …, 2013 | 10 | 2013 |
| A scalable multi-signal approach for the parallelization of self-organizing neural networks M Musci, G Parigi, V Cantoni, M Piastra Neural Networks 123, 108-117, 2020 | 9 | 2020 |
| A hybrid OpenMP and OpenMPI approach to geometrical motif search in proteins M Ferretti, M Musci, L Santangelo 2014 IEEE International Conference on Cluster Computing (CLUSTER), 298-304, 2014 | 9 | 2014 |
| Parallelizing a finite element solver in computational hemodynamics: a black box approach F Auricchio, M Ferretti, A Lefieux, M Musci, A Reali, S Trimarchi, ... The International Journal of High Performance Computing Applications 32 (3 …, 2018 | 7 | 2018 |
| Optimized cloud-based scheduling for protein secondary structure analysis M Ferretti, L Santangelo, M Musci The Journal of Supercomputing 75, 3499-3520, 2019 | 5 | 2019 |
| Structural Motif Identification and Retrieval: A Geometrical Approach V Cantoni, M Ferretti, M Musci, N Nugrahaningsih Pattern Recognition in Computational Molecular Biology: Techniques and …, 2015 | 5 | 2015 |
| Protein motif retrieval by secondary structure element geometry and biological features saliency V Cantoni, M Ferretti, N Pellicanò, J Vandoni, M Musci, N Nugrahaningsih 2014 25th International Workshop on Database and Expert Systems Applications …, 2014 | 4 | 2014 |
| Extending cross motif search with heuristic data mining T Argentieri, V Cantoni, M Musci 2017 28th International Workshop on Database and Expert Systems Applications …, 2017 | 3 | 2017 |
| MotifVisualizer: an interdisciplinary GUI for geometrical motif retrieval in proteins T Argentier, V Cantoni, M Musci 2016 27th International Workshop on Database and Expert Systems Applications …, 2016 | 3 | 2016 |
| WITHDRAWN: An extensive, multi-sensor dataset for event and fall detection in human activities that includes video recordings and detailed annotations M Musci, A Nardone, M Piastra Gait & Posture, 2019 | 2 | 2019 |
Piastra MarcoContract Professor, Università degli Studi di PaviaVerified email at unipv.it
