Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Francesco Masillo"'
Publikováno v:
Algorithms for Molecular Biology, Vol 19, Iss 1, Pp 1-18 (2024)
Abstract We introduce a new algorithm for constructing the generalized suffix array of a collection of highly similar strings. As a first step, we construct a compressed representation of the matching statistics of the collection with respect to a re
Externí odkaz:
https://doaj.org/article/50be11581b2245a7939b0057c8245f12
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105436- (2020)
Sensor data generated by intelligent systems, such as autonomous robots, smart buildings and other systems based on artificial intelligence, represent valuable sources of knowledge in today's data-driven society, since they contain information about
Externí odkaz:
https://doaj.org/article/8588400d546b475d9a330a6ee72f6f53
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
LOD (1)
LOD (1)
Forecasting is an important task for intelligent agents involved in dynamical processes. A specific application domain concerns district heating networks, in which the future heating load generated by centralized power plants and distributed to build
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::141cc9ebc419b603543835981a4105e6
http://hdl.handle.net/11562/1060739
http://hdl.handle.net/11562/1060739
Autor:
Francesco Masillo, Manuele Bicego, Alberto Castellini, Maddalena Zuccotto, Alessandro Farinelli
Autonomous surface vessels are becoming increasingly important for water monitoring. Their aim is to navigate rivers and lakes with limited intervention of human operators, to collect real-time data about water parameters. To reach this goal, these i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8274705b901e498d15f39f9701da3d72
http://hdl.handle.net/11562/1009911
http://hdl.handle.net/11562/1009911
Autor:
Samuele Cancellieri, Rosalba Giugno, Francesco Masillo, Nicola Bombieri, Stacy Maitland, Daniel E. Bauer, Myriam Armant, Linda Yingqi Lin, Luca Pinello, Shengdar Q. Tsai, Marioara-Felicia Ciuculescu, Scot A. Wolfe, My Anh Nguyen, Jing Zeng, Varun Katta
Publikováno v:
Blood. 138:3993-3993
CRISPR gene editing holds great promise to modify somatic genomes to ameliorate disease. In silico prediction of homologous sites coupled with biochemical evaluation of possible genomic off-targets may predict genotoxicity risk of individual gene edi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b2013330cb9007ad45a81a3f9aaf0c
https://doi.org/10.1182/blood-2021-152429
https://doi.org/10.1182/blood-2021-152429
Autor:
Sergio Peignier, Alessandro Farinelli, Jason Blum, Domenico Daniele Bloisi, Alberto Castellini, Manuele Bicego, Francesco Masillo
Publikováno v:
Cybernetics and Systems
Cybernetics and Systems, Taylor & Francis, 2019, 50 (8), pp.658-671. ⟨10.1080/01969722.2019.1677333⟩
Cybernetics and Systems, Taylor & Francis, 2019, 50 (8), pp.658-671. ⟨10.1080/01969722.2019.1677333⟩
In this paper, we propose the use of subspace clustering to detect the states of dynamical systems from sequences of observations. In particular, we generate sparse and interpretable models...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::093590e3353de6a6bf3567a29dfd1ece
https://hal.archives-ouvertes.fr/hal-02419033
https://hal.archives-ouvertes.fr/hal-02419033
The Burrows-Wheeler-Transform (BWT) is a reversible string transformation which plays a central role in text compression and is fundamental in many modern bioinformatics applications. The BWT is a permutation of the characters, which is in general be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e1482845a49141631a66373a55779c5
Autor:
Francesco Masillo, Domenico Daniele Bloisi, Alessandro Farinelli, Alberto Castellini, Jason Blum
Publikováno v:
Data in Brief
Data in Brief, Vol 30, Iss, Pp 105436-(2020)
Data in Brief, Vol 30, Iss, Pp 105436-(2020)
Sensor data generated by intelligent systems, such as autonomous robots, smart buildings and other systems based on artificial intelligence, represent valuable sources of knowledge in today's data-driven society, since they contain information about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f60bac0fb32f0a14ccaa4a8910606d9
https://doi.org/10.1016/j.dib.2020.105436
https://doi.org/10.1016/j.dib.2020.105436
Autor:
Lipták, Zsuzsanna1 (AUTHOR), Masillo, Francesco1 (AUTHOR), Puglisi, Simon J.2,3 (AUTHOR) simon.puglisi@helsinki.fi
Publikováno v:
Algorithms for Molecular Biology. 3/12/2024, Vol. 19 Issue 1, p1-18. 18p.
Autor:
Castellini, Alberto, Bicego, Manuele, Bloisi, Domenico, Blum, Jason, Masillo, Francesco, Peignier, Sergio, Farinelli, Alessandro
Publikováno v:
Cybernetics & Systems; 2019, Vol. 50 Issue 8, p658-671, 14p