Zobrazeno 1 - 10
of 933
pro vyhledávání: '"P Tonda"'
Publikováno v:
Knowledge-Based Systems 188:105032, 2020
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with hidden information, uncertainty
Externí odkaz:
http://arxiv.org/abs/2410.19681
Autor:
Fenoglio, Dario, Dominici, Gabriele, Barbiero, Pietro, Tonda, Alberto, Gjoreski, Martin, Langheinrich, Marc
Federated Learning (FL), a privacy-aware approach in distributed deep learning environments, enables many clients to collaboratively train a model without sharing sensitive data, thereby reducing privacy risks. However, enabling human trust and contr
Externí odkaz:
http://arxiv.org/abs/2405.15632
Autor:
Camilla Gallo, Joel Girón-Hernández, Daisy A. Honey, Edward M. Fox, Maria A. Cassa, Chiara Tonda-Turo, Irene Camagnola, Piergiorgio Gentile
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Chronic wounds represent a significant global health concern, statistically impacting 1–2% of the population in developed countries throughout their lifetimes. These wounds cause considerable discomfort for patients and necessitate substan
Externí odkaz:
https://doaj.org/article/438262414bdc45fd844043c241cf2328
Autor:
Barbiero, Pietro, Fioravanti, Stefano, Giannini, Francesco, Tonda, Alberto, Lio, Pietro, Di Lavore, Elena
Explainable AI (XAI) aims to address the human need for safe and reliable AI systems. However, numerous surveys emphasize the absence of a sound mathematical formalization of key XAI notions -- remarkably including the term "explanation" which still
Externí odkaz:
http://arxiv.org/abs/2304.14094
Autor:
Barbiero, Pietro, Ciravegna, Gabriele, Giannini, Francesco, Zarlenga, Mateo Espinosa, Magister, Lucie Charlotte, Tonda, Alberto, Lio', Pietro, Precioso, Frederic, Jamnik, Mateja, Marra, Giuseppe
Publikováno v:
Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1801-1825, 2023
Deep learning methods are highly accurate, yet their opaque decision process prevents them from earning full human trust. Concept-based models aim to address this issue by learning tasks based on a set of human-understandable concepts. However, state
Externí odkaz:
http://arxiv.org/abs/2304.14068
Nature-inspired optimization Algorithms (NIOAs) are nowadays a popular choice for community detection in social networks. Community detection problem in social network is treated as optimization problem, where the objective is to either maximize the
Externí odkaz:
http://arxiv.org/abs/2212.10797
Autor:
Michela Licciardello, Cecilia Traldi, Matteo Bortolameazzi, Daniele Testore, Gianluca Ciardelli, Chiara Tonda-Turo
Publikováno v:
Frontiers in Biomaterials Science, Vol 3 (2024)
The use of engineered biomimetic substrates combined with neural stem cells (NSCs) constitutes a promising approach to develop reliable in vitro models of the nervous tissue. The fabrication of scaffolds with suitable compositional, topographical, an
Externí odkaz:
https://doaj.org/article/929afe427f584ef5ba0377abc512ee8a
Autor:
Satheesh Chonat, Earl Fields, Hannah Baratz, Amanda Watt, Mira Pochron, Sandy Dixon, Margaret Tonda, Clark Brown, David Archer
Publikováno v:
eJHaem, Vol 5, Iss 1, Pp 125-130 (2024)
Abstract Introduction: Sickle haemoglobin (HbS) polymerisation perturbs red blood cell (RBC) rheology and drives sickle cell disease (SCD) pathophysiology. Voxelotor is an HbS polymerisation inhibitor that increases haemoglobin (Hb)–oxygen affinity
Externí odkaz:
https://doaj.org/article/d85d9eb3edf449ed8d418c775d96b9ae
Autor:
Margaret M. Paschen-Wolff, Avery DeSousa, Emily Allen Paine, Tonda L. Hughes, Aimee N.C. Campbell
Publikováno v:
Substance Abuse Treatment, Prevention, and Policy, Vol 19, Iss 1, Pp 1-20 (2024)
Abstract Background Lesbian, gay, bisexual, transgender, queer, and other LGBTQ populations (LGBTQ+; e.g., asexual individuals) have higher rates of substance use (SU) and disorders (SUD) compared to heterosexual and cisgender populations. Such dispa
Externí odkaz:
https://doaj.org/article/b186fd6c816b41b59122aab8bb53857e
Autor:
David Rojas-Velazquez, Sarah Kidwai, Aletta D. Kraneveld, Alberto Tonda, Daniel Oberski, Johan Garssen, Alejandro Lopez-Rincon
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background In recent years, human microbiome studies have received increasing attention as this field is considered a potential source for clinical applications. With the advancements in omics technologies and AI, research focused on the dis
Externí odkaz:
https://doaj.org/article/88acd2003a584f7c92d35efc38ef93f7