Zobrazeno 1 - 10
of 2 336
pro vyhledávání: '"D'Avola A"'
Publikováno v:
OncoTargets and Therapy, Vol Volume 16, Pp 371-383 (2023)
Annalisa D’Avola,1 Katarina Kluckova,1 Andrew J Finch,2 John C Riches1 1Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK; 2Centre for Tumour Biology, Barts Cancer Instit
Externí odkaz:
https://doaj.org/article/3c78cde26a154fb4b90300626683a3f3
Action anticipation is the task of forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the difficulty of reasoning upon interconnected actions. Unlike previous wo
Externí odkaz:
http://arxiv.org/abs/2407.02309
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such features can be helpful to accurately represent and identify elements with
Externí odkaz:
http://arxiv.org/abs/2402.11301
Autor:
Sonia Romano, Giulia Avola, Marco Cesare Angeli, Francesca Brazzale, Elena Giacopazzi, Paola Castellini, Antonio Genovese
Publikováno v:
Pulse, Vol 12, Iss 1, Pp 106-112 (2024)
Background: Hypereosinophilic syndrome is characterized by a peripheral blood eosinophil count >1.5 × 103/μL on two different examinations within a month of each other and/or a 20% or higher percentage of eosinophils in a bone marrow section, assoc
Externí odkaz:
https://doaj.org/article/616bc06e01534cdba8f1968749af78dd
Autor:
Danilo Avola, Luigi Cinque, Emad Emam, Federico Fontana, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
IEEE Access, Vol 12, Pp 125332-125357 (2024)
During the flight, Unmanned Aerial Vehicles (UAVs) usually exploit internal sensors to determine their position. The most useful and used one is the Global Positioning System (GPS), or, more in general, any Global Navigation Satellite System (GNSS).
Externí odkaz:
https://doaj.org/article/bb3ce995eb2e4b94a3e414bc235f8c9e
Autor:
Avola, Danilo, Cinque, Luigi, Fagioli, Alessio, Foresti, Gian Luca, Marini, Marco Raoul, Mecca, Alessio, Pannone, Daniele
Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong dosage generally causes the disease to worsen. Although, all relevant
Externí odkaz:
http://arxiv.org/abs/2203.14031
Autor:
Avola, Danilo, Cascio, Marco, Cinque, Luigi, Fagioli, Alessio, Foresti, Gian Luca, Marini, Marco Raoul, Pannone, Daniele
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology. In general, these techniques can be used in two ways: trying to adapt well-known models and architectures to the available data, or
Externí odkaz:
http://arxiv.org/abs/2203.10009
Publikováno v:
International Journal of Neural Systems, 2022, 2250015
The increasing availability of wireless access points (APs) is leading towards human sensing applications based on Wi-Fi signals as support or alternative tools to the widespread visual sensors, where the signals enable to address well-known vision-r
Externí odkaz:
http://arxiv.org/abs/2203.05864
Autor:
Avola, Danilo, Bacciu, Andrea, Cinque, Luigi, Fagioli, Alessio, Marini, Marco Raoul, Taiello, Riccardo
Publikováno v:
Computer Methods and Programs in Biomedicine, 2022
Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19. To that regard, deep learning a
Externí odkaz:
http://arxiv.org/abs/2110.02780
Publikováno v:
Neural Networks 153 (2022): 386-398
Improving existing neural network architectures can involve several design choices such as manipulating the loss functions, employing a diverse learning strategy, exploiting gradient evolution at training time, optimizing the network hyper-parameters
Externí odkaz:
http://arxiv.org/abs/2110.02776