User profiles for "author:Barbara Corradini"
Barbara Toniella CorradiniUniversity of Siena, University of Florence Verified email at student.unisi.it Cited by 20 |
[HTML][HTML] Recommendations on complementary feeding for healthy, full-term infants
P Alvisi, S Brusa, S Alboresi, S Amarri, P Bottau… - Italian journal of …, 2015 - Springer
Weaning (or introduction of complementary feeding) is a special and important moment in
the growth of a child, both for the family and the infant itself, and it can play a major role in …
the growth of a child, both for the family and the infant itself, and it can play a major role in …
Italian consensus statement (2020) on return to play after lower limb muscle injury in football (soccer)
Return to play (RTP) decisions in football are currently based on expert opinion. No
consensus guideline has been published to demonstrate an evidence-based decision …
consensus guideline has been published to demonstrate an evidence-based decision …
Italian consensus conference on guidelines for conservative treatment on lower limb muscle injuries in athlete
GN Bisciotti, P Volpi, M Amato… - BMJ open sport & …, 2018 - bmjopensem.bmj.com
Provide the state of the art concerning (1) biology and aetiology,(2) classification,(3) clinical
assessment and (4) conservative treatment of lower limb muscle injuries (MI) in athletes …
assessment and (4) conservative treatment of lower limb muscle injuries (MI) in athletes …
Smart gravimetric system for enhanced security of accesses to public places embedding a mobilenet neural network classifier
In this article, we present a smart gravimetric system for the automatic security monitoring of
the accesses to public places with some entrance ticket or pass required (eg, railway …
the accesses to public places with some entrance ticket or pass required (eg, railway …
A mobilenet neural network model for fault diagnosis in roller bearings
This work is focused on the realization of a low-complexity MobileNet neural network able to
classify different bearing failure vibration signals. The network was designed to be deployed …
classify different bearing failure vibration signals. The network was designed to be deployed …
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
BT Corradini, M Shukor, P Couairon… - arXiv preprint arXiv …, 2024 - arxiv.org
Foundation models have exhibited unprecedented capabilities in tackling many domains
and tasks. Models such as CLIP are currently widely used to bridge cross-modal …
and tasks. Models such as CLIP are currently widely used to bridge cross-modal …
Cyclic progestin administration increases energy expenditure and decreases body fat mass in perimenopausal women
A Cagnacci, A De Toni, S Caretto, R Menozzi… - Menopause, 2006 - journals.lww.com
Objective: The menopause transition is characterized by luteal phase defect anovulatory
cycles, and changes in body weight and body composition. Resting metabolic rate (RMR) is …
cycles, and changes in body weight and body composition. Resting metabolic rate (RMR) is …
“Community projects” in Modena (Italy): promote regular physical activity and healthy nutrition habits since childhood
A Tripodi, S Severi, S Midili… - International Journal of …, 2011 - Taylor & Francis
Lack of exercise and unhealthy diets are two of the most important risk factors to develop
overweight, obesity and other chronic diseases. The school plays a key role in the promotion …
overweight, obesity and other chronic diseases. The school plays a key role in the promotion …
[PDF][PDF] A Deep Learning approach for oocytes segmentation and analysis.
Medical Assisted Procreation (MAP) has seen a sharp increase in demand over the past
decade, due to a variety of reasons, including genetic factors, health conditions altered by …
decade, due to a variety of reasons, including genetic factors, health conditions altered by …
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks
This paper aims to study the potentialities of incorporating recursive layers into Generative
Adversarial Networks (GANs). Drawing inspiration from biological systems, in which …
Adversarial Networks (GANs). Drawing inspiration from biological systems, in which …