Zobrazeno 1 - 10
of 888
pro vyhledávání: '"MAURI, GIANCARLO"'
The problem of matching a query string to a directed graph, whose vertices are labeled by strings, has application in different fields, from data mining to computational biology. Several variants of the problem have been considered, depending on the
Externí odkaz:
http://arxiv.org/abs/2001.01961
Autor:
Han, Changhee, Rundo, Leonardo, Araki, Ryosuke, Nagano, Yudai, Furukawa, Yujiro, Mauri, Giancarlo, Nakayama, Hideki, Hayashi, Hideaki
Convolutional Neural Networks (CNNs) achieve excellent computer-assisted diagnosis with sufficient annotated training data. However, most medical imaging datasets are small and fragmented. In this context, Generative Adversarial Networks (GANs) can s
Externí odkaz:
http://arxiv.org/abs/1905.13456
Autor:
Rundo, Leonardo, Han, Changhee, Nagano, Yudai, Zhang, Jin, Hataya, Ryuichiro, Militello, Carmelo, Tangherloni, Andrea, Nobile, Marco S., Ferretti, Claudio, Besozzi, Daniela, Gilardi, Maria Carla, Vitabile, Salvatore, Mauri, Giancarlo, Nakayama, Hideki, Cazzaniga, Paolo
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Centr
Externí odkaz:
http://arxiv.org/abs/1904.08254
Autor:
Rundo, Leonardo, Han, Changhee, Zhang, Jin, Hataya, Ryuichiro, Nagano, Yudai, Militello, Carmelo, Ferretti, Claudio, Nobile, Marco S., Tangherloni, Andrea, Gilardi, Maria Carla, Vitabile, Salvatore, Nakayama, Hideki, Mauri, Giancarlo
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), which provides both morphologic and functional information pertaining to
Externí odkaz:
http://arxiv.org/abs/1903.12571
Autor:
Han, Changhee, Rundo, Leonardo, Araki, Ryosuke, Furukawa, Yujiro, Mauri, Giancarlo, Nakayama, Hideki, Hayashi, Hideaki
Due to the lack of available annotated medical images, accurate computer-assisted diagnosis requires intensive Data Augmentation (DA) techniques, such as geometric/intensity transformations of original images; however, those transformed images intrin
Externí odkaz:
http://arxiv.org/abs/1903.12564
Publikováno v:
Journal of Membrane Computing 1, 75-84 (2019)
In P systems with active membranes, the question of understanding the power of non-confluence within a polynomial time bound is still an open problem. It is known that, for shallow P systems, that is, with only one level of nesting, non-confluence al
Externí odkaz:
http://arxiv.org/abs/1902.09523
Publikováno v:
Journal of Membrane Computing 2, 71-79 (2020)
It is well known that the kind of P systems involved in the definition of the P conjecture is able to solve problems in the complexity class $\mathbf{P}$ by leveraging the uniformity condition. Here we show that these systems are indeed able to simul
Externí odkaz:
http://arxiv.org/abs/1902.03883
Publikováno v:
Lecture Notes in Computer Science 11399 (2019) 188-201
Among $\mathbf{PSPACE}$-complete problems, QSAT, or quantified SAT, is one of the most used to show that the class of problems solvable in polynomial time by families of a given variant of P systems includes the whole $\mathbf{PSPACE}$. However, most
Externí odkaz:
http://arxiv.org/abs/1902.03879
Autor:
Tangherloni, Andrea, Spolaor, Simone, Rundo, Leonardo, Nobile, Marco S., Cazzaniga, Paolo, Mauri, Giancarlo, Liò, Pietro, Merelli, Ivan, Besozzi, Daniela
The computational problem of inferring the full haplotype of a cell starting from read sequencing data is known as haplotype assembly, and consists in assigning all heterozygous Single Nucleotide Polymorphisms (SNPs) to exactly one of the two chromos
Externí odkaz:
http://arxiv.org/abs/1812.07689