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ORCIDMirto Musci
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2020 – today
- 2021
[j11]Mirto Musci
, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra:
Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices. IEEE Trans. Emerg. Top. Comput. 9(3): 1276-1289 (2021)- 2020
- [j10]Eleonora Maria Aiello, Giuseppe Lisanti, Lalo Magni, Mirto Musci, Chiara Toffanin:
Therapy-driven Deep Glucose Forecasting. Eng. Appl. Artif. Intell. 87 (2020) - [j9]Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra:
A scalable multi-signal approach for the parallelization of self-organizing neural networks. Neural Networks 123: 108-117 (2020)
2010 – 2019
- 2019
- [j8]Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra:
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. Microprocess. Microsystems 71 (2019) - [j7]Emanuele Torti, Mirto Musci, Federico Guareschi, Francesco Leporati, Marco Piastra:
Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations. Sci. Program. 2019: 9135196:1-9135196:10 (2019) - [j6]Marco Ferretti, Luigi Santangelo, Mirto Musci:
Optimized cloud-based scheduling for protein secondary structure analysis. J. Supercomput. 75(7): 3499-3520 (2019) - [j5]Marco Ferretti, Luigi Santangelo, Mirto Musci:
Correction to: Optimized cloud-based scheduling for protein secondary structure analysis. J. Supercomput. 75(7): 3521 (2019) - [c10]Mirto Musci, Gioele Maruccia, Marco Ferretti:
A Review of Quasi-perfect Secondary Structure Prediction Servers. DEXA Workshops 2019: 21-26 - 2018
- [j4]Ferdinando Auricchio, Marco Ferretti, Adrien Lefieux, Mirto Musci, Alessandro Reali, Santi Trimarchi, Alessandro Veneziani:
Parallelizing a finite element solver in computational hemodynamics. Int. J. High Perform. Comput. Appl. 32(3): 351-362 (2018) - [j3]Virginio Cantoni, Mirto Musci, Nahumi Nugrahaningsih, Marco Porta:
Gaze-based biometrics: An introduction to forensic applications. Pattern Recognit. Lett. 113: 54-57 (2018) - [c9]Mirto Musci, Marco Ferretti:
Mining Geometrical Motifs Co-occurrences in the CMS Dataset. DEXA Workshops 2018: 179-190 - [c8]Emanuele Torti, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau, Francesco Leporati, Marco Piastra:
Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices. DSD 2018: 405-412 - [i1]Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra:
Online Fall Detection using Recurrent Neural Networks. CoRR abs/1804.04976 (2018) - 2017
- [c7]Teo Argentieri, Virginio Cantoni, Mirto Musci:
Extending Cross Motif Search with Heuristic Data Mining. DEXA Workshops 2017: 57-61 - 2016
- [c6]Teo Argentieri, Virginio Cantoni, Mirto Musci:
MotifVisualizer: An Interdisciplinary GUI for Geometrical Motif Retrieval in Proteins. DEXA Workshops 2016: 64-68 - 2015
- [j2]Marco Ferretti, Mirto Musci, Luigi Santangelo:
MPI-CMS: a hybrid parallel approach to geometrical motif search in proteins. Concurr. Comput. Pract. Exp. 27(18): 5500-5516 (2015) - [j1]Marco Ferretti, Mirto Musci:
Geometrical motifs search in proteins: A parallel approach. Parallel Comput. 42: 60-74 (2015) - [c5]Ferdinando Auricchio, Marco Ferretti, Adrien Lefieux, Mirto Musci, Alessandro Reali, Santi Trimarchi, Alessandro Veneziani:
Assessment of a Black-Box Approach for a Parallel Finite Elements Solver in Computational Hemodynamics. TrustCom/BigDataSE/ISPA (3) 2015: 202-207 - 2014
- [c4]Marco Ferretti, Mirto Musci, Luigi Santangelo:
A hybrid OpenMP and OpenMPI approach to geometrical motif search in proteins. CLUSTER 2014: 298-304 - [c3]Virginio Cantoni, Marco Ferretti, Nicola Pellicano, Jennifer Vandoni, Mirto Musci, Nahumi Nugrahaningsih:
Protein Motif Retrieval by Secondary Structure Element Geometry and Biological Features Saliency. DEXA Workshops 2014: 23-27 - 2013
- [c2]Giacomo Drago, Marco Ferretti, Mirto Musci:
CCMS: A Greedy Approach to Motif Extraction. ICIAP Workshops 2013: 363-371 - [c1]Marco Ferretti, Mirto Musci:
Entire motifs search of secondary structures in proteins: a parallelization study. EuroMPI 2013: 199-204
Coauthor Index
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