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Mirto Musci
Mirto Musci
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Zitiert von
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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
862020
Online fall detection using recurrent neural networks
M Musci, D De Martini, N Blago, T Facchinetti, M Piastra
arXiv preprint arXiv:1804.04976, 2018
812018
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
712018
Therapy-driven deep glucose forecasting
EM Aiello, G Lisanti, L Magni, M Musci, C Toffanin
Engineering Applications of Artificial Intelligence 87, 103255, 2020
462020
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
442019
Gaze-based biometrics: An introduction to forensic applications
V Cantoni, M Musci, N Nugrahaningsih, M Porta
Pattern Recognition Letters 113, 54-57, 2018
212018
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
132019
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
112015
Geometrical motifs search in proteins: A parallel approach
M Ferretti, M Musci
Parallel Computing 42, 60-74, 2015
112015
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
102013
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
102013
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
92020
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
92014
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
72018
Optimized cloud-based scheduling for protein secondary structure analysis
M Ferretti, L Santangelo, M Musci
The Journal of Supercomputing 75, 3499-3520, 2019
52019
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
52015
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
42014
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
32017
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
32016
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
22019
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