Zobrazeno 41 - 50
of 2 106
pro vyhledávání: '"Ferrés, A"'
Autor:
Kshirsagar, Meghana, Robinson, Caleb, Yang, Siyu, Gholami, Shahrzad, Klyuzhin, Ivan, Mukherjee, Sumit, Nasir, Md, Ortiz, Anthony, Oviedo, Felipe, Tanner, Darren, Trivedi, Anusua, Xu, Yixi, Zhong, Ming, Dilkina, Bistra, Dodhia, Rahul, Ferres, Juan M. Lavista
AI for good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid, and social justice. Developing and deploying such solutions must be d
Externí odkaz:
http://arxiv.org/abs/2104.11757
Autor:
Pereira, Mayana, Kim, Allen, Allen, Joshua, White, Kevin, Ferres, Juan Lavista, Dodhia, Rahul
Broadband connectivity is a key metric in today's economy. In an era of rapid expansion of the digital economy, it directly impacts GDP. Furthermore, with the COVID-19 guidelines of social distancing, internet connectivity became necessary to everyda
Externí odkaz:
http://arxiv.org/abs/2103.14035
Longitudinal studies are vital to understanding dynamic changes of the planet, but labels (e.g., buildings, facilities, roads) are often available only for a single point in time. We propose a general model, Temporal Cluster Matching (TCM), for detec
Externí odkaz:
http://arxiv.org/abs/2103.09787
Autor:
Angels Ballarín Castany, Thaïs Serrà Rigol, M. Cereceda Ferrés, M. Serrarols Soldevila, Ramon Oller Piqué, Xavier Gómez-Batiste
Publikováno v:
Atención Primaria, Vol 55, Iss 12, Pp 102741- (2023)
Resumen: Objetivos: Determinar la prevalencia y las características clínicas del dolor en pacientes con enfermedad crónica avanzada, e identificar la frecuencia del dolor irruptivo. Diseño: Estudio observacional, descriptivo y transversal. Emplaz
Externí odkaz:
https://doaj.org/article/7213c62ff938481096206a54990fbb25
Autor:
Rajotte, Jean-Francois, Mukherjee, Sumit, Robinson, Caleb, Ortiz, Anthony, West, Christopher, Ferres, Juan Lavista, Ng, Raymond T
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a generative mechanism enabling collaborative learning. In particular, we show how a data owner with limited and biased data could benefit from other data owners while keeping dat
Externí odkaz:
http://arxiv.org/abs/2101.07235
Autor:
Baraka, Shimaa, Akera, Benjamin, Aryal, Bibek, Sherpa, Tenzing, Shresta, Finu, Ortiz, Anthony, Sankaran, Kris, Ferres, Juan Lavista, Matin, Mir, Bengio, Yoshua
Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this work, we present a machine learning based approach to support ecologic
Externí odkaz:
http://arxiv.org/abs/2012.05013
Autor:
Ballarín Castany, Angels, Serrà Rigol, Thaïs, Cereceda Ferrés, M., Serrarols Soldevila, M., Oller Piqué, Ramon, Gómez-Batiste, Xavier
Publikováno v:
In Atencion Primaria December 2023 55(12)
Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility changes d
Externí odkaz:
http://arxiv.org/abs/2011.12162
Home detection, assigning a phone device to its home antenna, is a ubiquitous part of most studies in the literature on mobile phone data. Despite its widespread use, home detection relies on a few assumptions that are difficult to check without grou
Externí odkaz:
http://arxiv.org/abs/2010.08814
Autor:
Trivedi, Anusua, Muppalla, Sreya, Pathak, Shreyaan, Mobasher, Azadeh, Janowski, Pawel, Dodhia, Rahul, Ferres, Juan M. Lavista
All datasets contain some biases, often unintentional, due to how they were acquired and annotated. These biases distort machine-learning models' performance, creating spurious correlations that the models can unfairly exploit, or, contrarily destroy
Externí odkaz:
http://arxiv.org/abs/2010.01485