Zobrazeno 1 - 10
of 6 363
pro vyhledávání: '"Lavin, P"'
Autor:
Lavin, Eduardo, Ruiz-Garcia, Miguel
Dynamical loss functions are derived from standard loss functions used in supervised classification tasks, but they are modified such that the contribution from each class periodically increases and decreases. These oscillations globally alter the lo
Externí odkaz:
http://arxiv.org/abs/2410.10690
Teams of mobile [aerial, ground, or aquatic] robots have applications in resource delivery, patrolling, information-gathering, agriculture, forest fire fighting, chemical plume source localization and mapping, and search-and-rescue. Robot teams trave
Externí odkaz:
http://arxiv.org/abs/2409.12114
Autor:
Lavin, Ryan, Liu, Xuekai, Mohanty, Hardhik, Norman, Logan, Zaarour, Giovanni, Krishnamachari, Bhaskar
Zero-knowledge proofs (ZKPs) represent a revolutionary advance in computational integrity and privacy technology, enabling the secure and private exchange of information without revealing underlying private data. ZKPs have unique advantages in terms
Externí odkaz:
http://arxiv.org/abs/2408.00243
Autor:
Lavin, Andrew
Since the breakthrough performance of AlexNet in 2012, convolutional neural networks (convnets) have grown into extremely powerful vision models. Deep learning researchers have used convnets to perform vision tasks with accuracy that was unachievable
Externí odkaz:
http://arxiv.org/abs/2404.03617
Group configurations play a pivotal role in shaping social skills and learning outcomes by fostering student interaction and collaboration. Yet, the factors influencing group formation, social cohesion, and group stability remain understudied. Here,
Externí odkaz:
http://arxiv.org/abs/2309.15212
Autor:
Nadia Chaher, Sara Lacerda, Giuseppe Digilio, Sergio Padovan, Ling Gao, Begoña Lavin, Rachele Stefania, Carlos Velasco, Gastão Cruz, Claudia Prieto, René M. Botnar, Alkystis Phinikaridou
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-15 (2024)
Abstract Heart failure (HF) affects 64 million people globally with enormous societal and healthcare costs. Myocardial fibrosis, characterised by changes in collagen content drives HF. Despite evidence that collagen type III (COL3) content changes du
Externí odkaz:
https://doaj.org/article/ff8b727e1ffe447b80b59714d8367065
Autor:
Kara Bellai-Dussault, Shelley D. Dougan, Deshayne B. Fell, Steven Hawken, Tianhua Huang, Carolina Lavin Venegas, Julian Little, Lynn Meng, Nan Okun, Mark Walker, Christine M. Armour, Beth K. POTTER
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Multiple marker screening is offered to pregnant individuals in many jurisdictions to screen for trisomies 21 and 18. On occasion, the result is ‘double-positive’—a screening result that is unexpectedly positive for both ane
Externí odkaz:
https://doaj.org/article/b0c055c520d948d08533bb01843c378a
Publikováno v:
Zanco Journal of Medical Sciences, Vol 28, Iss 2, Pp 235-247 (2024)
Background and objective: Syndactyly is among the most commonly treated hand anomalies by plastic surgeons. Since the 1800s,over 46 corrective procedures have been described. These techniques involve using different flap designs and full-thickness sk
Externí odkaz:
https://doaj.org/article/05d34b0403bd4fc28ff82ae281da0bfe
Autor:
Rybusiński, Jarosław, Fąs, Tomasz, Martin-Ramos, Pablo, Lavín, Victor, Szczytko, Jacek, Suffczyński, Jan, Martín, Inocencio R., Martin-Gil, Jesus, Silva, Manuela Ramos, Camargo, Bruno Cury
Publikováno v:
Journal of Magnetism and Magnetic Materials 580, 170903 (2023)
We demonstrate the selective control of the magnetic response and photoluminescence properties of Er3+ centers with light, by associating them with a highly conjugated beta-diketonate (1,3-di(2-naphthyl)-1,3-propanedione) ligand. We demonstrate this
Externí odkaz:
http://arxiv.org/abs/2307.16476
Autor:
Zenil, Hector, Tegnér, Jesper, Abrahão, Felipe S., Lavin, Alexander, Kumar, Vipin, Frey, Jeremy G., Weller, Adrian, Soldatova, Larisa, Bundy, Alan R., Jennings, Nicholas R., Takahashi, Koichi, Hunter, Lawrence, Dzeroski, Saso, Briggs, Andrew, Gregory, Frederick D., Gomes, Carla P., Rowe, Jon, Evans, James, Kitano, Hiroaki, King, Ross
Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contribution to technology can come from multiple approaches that require access
Externí odkaz:
http://arxiv.org/abs/2307.07522