Zobrazeno 51 - 60
of 24 877
pro vyhledávání: '"Zito A."'
Autor:
V. Quagliariello, M. L. Canale, I. Bisceglia, M. Iovine, A. Paccone, C. Maurea, M. Scherillo, A. Merola, V. Giordano, G. Palma, A. Luciano, F. Bruzzese, F. Zito Marino, M. Montella, R. Franco, M. Berretta, D. Gabrielli, G. Gallucci, N. Maurea
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundAnthracycline-mediated adverse cardiovascular events are among the leading causes of morbidity and mortality in patients with cancer. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) exert multiple cardiometabolic benefits in patients wit
Externí odkaz:
https://doaj.org/article/4ac4e155429d46e6862977792ad67451
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/016b676f1abc44c3b6cbba0022456194
Autor:
Marco Bilucaglia, Margherita Zito, Alessandro Fici, Chiara Casiraghi, Fiamma Rivetti, Mara Bellati, Vincenzo Russo
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/03b77fd7743e452b8456ef471ca9ca26
In ecology it has become common to apply DNA barcoding to biological samples leading to datasets containing a large number of nucleotide sequences. The focus is then on inferring the taxonomic placement of each of these sequences by leveraging on exi
Externí odkaz:
http://arxiv.org/abs/2201.09782
Autor:
Faycal, Tarek, Zito, Claudio
Neuroevolution has recently been shown to be quite competitive in reinforcement learning (RL) settings, and is able to alleviate some of the drawbacks of gradient-based approaches. This paper will focus on applying neuroevolution using a simple genet
Externí odkaz:
http://arxiv.org/abs/2201.04815
Autor:
Faycal, Tarek, Zito, Claudio
In this work we present a preliminary investigation of a novel algorithm called Dyna-T. In reinforcement learning (RL) a planning agent has its own representation of the environment as a model. To discover an optimal policy to interact with the envir
Externí odkaz:
http://arxiv.org/abs/2201.04502
Autor:
Iavicoli, Giorgio, Zito, Claudio
Graph-SLAM is a well-established algorithm for constructing a topological map of the environment while simultaneously attempting the localisation of the robot. It relies on scan matching algorithms to align noisy observations along robot's movements
Externí odkaz:
http://arxiv.org/abs/2201.03814
Publikováno v:
In Proceedings of OCEANS 2022 Chennai, February 21-24, pp. 1-6
This work reviews the problem of object detection in underwater environments. We analyse and quantify the shortcomings of conventional state-of-the-art (SOTA) algorithms in the computer vision community when applied to this challenging environment, a
Externí odkaz:
http://arxiv.org/abs/2201.00977
Autor:
Bianchini, Francesco, Bianchini, Emiliano, Romagnoli, Enrico, Aurigemma, Cristina, Zito, Andrea, Busco, Marco, Nesta, Marialisa, Bruno, Piergiorgio, Laezza, Domenico, Giambusso, Nicole, Natale, Luigi, Pelargonio, Gemma, Burzotta, Francesco, Trani, Carlo
Publikováno v:
In The American Journal of Cardiology 1 August 2024 224:26-35
Publikováno v:
In Journal of School Psychology August 2024 105