Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Giosué Lo Bosco"'
Publikováno v:
Sensors, Vol 23, Iss 13, p 6003 (2023)
The application of machine learning techniques to histopathology images enables advances in the field, providing valuable tools that can speed up and facilitate the diagnosis process. The classification of these images is a relevant aid for physician
Externí odkaz:
https://doaj.org/article/2ed381114ba344d3a1795ded885c9437
Publikováno v:
Data, Vol 8, Iss 3, p 56 (2023)
Machine-learning techniques, properly combined with data structures, have resulted in Learned Static Indexes, innovative and powerful tools that speed up Binary Searches with the use of additional space with respect to the table being searched into.
Externí odkaz:
https://doaj.org/article/a756f7cf01e2430e98b724e3f096bc24
Publikováno v:
Array, Vol 12, Iss , Pp 100097- (2021)
Automatic Text Complexity Evaluation (ATE) is a research field that aims at creating new methodologies to make autonomous the process of the text complexity evaluation, that is the study of the text-linguistic features (e.g., lexical, syntactical, mo
Externí odkaz:
https://doaj.org/article/7e36055a1d474631b4ad6e3b116f8379
Autor:
Bertrand Zavidovique, Giosue Lo Bosco
The book gathers articles that were exposed during the seventh edition of the Workshop “Data Analysis in Astronomy”. It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated wit
This proceedings volume contains results presented at the Sixth International Workshop on Data Analysis in Astronomy — “Modeling and Simulation in Science” held on April 15-22, 2007, at the Ettore Majorana Foundation and Center for Scientific C
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 6003
The application of machine learning techniques to histopathology images enables advances in the field, providing valuable tools that can speed up and facilitate the diagnosis process. The classification of these images is a relevant aid for physician
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b07bca2b7087022f14afa00c7945410a
Autor:
Ignazio Fontana, Marco Barra, Angelo Bonanno, Giovanni Giacalone, Riccardo Rizzo, Olga Mangoni, Simona Genovese, Gualtiero Basilone, Rosalia Ferreri, Salvatore Mazzola, Giosué Lo Bosco, Salvatore Aronica
Acoustic surveys represent the standard methodology to assess the spatial distribution and abundance of pelagic organisms characterized by aggregative behaviour. The species identification of acoustically observed aggregations is usually performed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6afa4c2a17be729aacd8ac96ffc7a3cf
http://hdl.handle.net/10447/537375
http://hdl.handle.net/10447/537375
Learned Indexes are a novel approach to search in a sorted table. A model is used to predict an interval in which to search into and a Binary Search routine is used to finalize the search. They are quite effective. For the final stage, usually, the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0625d1ad32f4ea0f9a19701e4ddf48c1
Autor:
Roberto Barbera, Francesca Condorelli, Giuseppe Di Gregorio, Giuseppe Di Piazza, Mariella Farella, Giosué Lo Bosco, Andrey Megvinov, Daniele Pirrone, Daniele Schicchi, Antonino Zora
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031203015
Modern digital technologies allow potentially to explore Cultural Heritage sites in immersive virtual environments. This is surely an advantage for the users that can better experiment and understand a specific site, also before a real visit. This sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6806451a8d91196fd4e9edba8574385b
https://doi.org/10.1007/978-3-031-20302-2_14
https://doi.org/10.1007/978-3-031-20302-2_14
Autor:
Roberto Barbera, Francesca Condorelli, Giuseppe Di Gregorio, Giuseppe Di Piazza, Mariella Farella, Giosué Lo Bosco, Andrey Megvinov, Daniele Pirrone, Daniele Schicchi, Antonino Zora
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031133206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97bf01d19800a2819596e0e78263a811
https://doi.org/10.1007/978-3-031-13321-3_16
https://doi.org/10.1007/978-3-031-13321-3_16