Zobrazeno 1 - 10
of 257
pro vyhledávání: '"Andres Munoz"'
Publikováno v:
IEEE Access, Vol 9, Pp 88651-88663 (2021)
We are witnessing an increasing need to accurately measure people’s mobility as it has become an instrumental factor for the development of innovative services in multiple domains. In this context, several ICT solutions have relied on location-base
Externí odkaz:
https://doaj.org/article/cb6a29aa44ae41b99b2415bf71d7c8e7
Autor:
Busa-Fekete, Róbert István, Dick, Travis, Gentile, Claudio, Medina, Andrés Muñoz, Smith, Adam, Swanberg, Marika
We propose reconstruction advantage measures to audit label privatization mechanisms. A reconstruction advantage measure quantifies the increase in an attacker's ability to infer the true label of an unlabeled example when provided with a private ver
Externí odkaz:
http://arxiv.org/abs/2406.02797
Publikováno v:
Sensing and Bio-Sensing Research, Vol 31, Iss , Pp 100402- (2021)
Antibiotic resistance is a worldwide problem aggravated by the overuse of prophylactic antibiotic therapies and lack of real-time biosensing equipment to differentiate viral from bacterial infections at the Point of Care (POC), particularly in rural
Externí odkaz:
https://doaj.org/article/b98ed28f2ad74391b960a260111a6e89
Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation
Autor:
Andres Munoz-Arcentales, Sonsoles López-Pernas, Javier Conde, Álvaro Alonso, Joaquín Salvachúa, Juan José Hierro
Publikováno v:
Sensors, Vol 21, Iss 21, p 7095 (2021)
In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, b
Externí odkaz:
https://doaj.org/article/88ae66b84fd445ef9a030a876c023ec5
Unsupervised pre-training is a common step in developing computer vision models and large language models. In this setting, the absence of labels requires the use of similarity-based loss functions, such as contrastive loss, that favor minimizing the
Externí odkaz:
http://arxiv.org/abs/2310.03104
Autor:
Washington Velásquez, Manuel S. Alvarez-Alvarado, Andres Munoz-Arcentales, Sonsoles López-Pernas, Joaquín Salvachúa
Publikováno v:
Sensors, Vol 20, Iss 10, p 2899 (2020)
This article presents a comprehensive study of human physiology to determine the impact of body mass index (BMI) on human gait. The approach followed in this study consists of a mathematical model based on the centre of mass of the human body, the in
Externí odkaz:
https://doaj.org/article/38fb069b0d0e430eaed20d31f4532937
Autor:
Abhishek K. Srivastava, Scott W. McIntosh, N. Arge, Dipankar Banerjee, Mausumi Dikpati, Bhola N. Dwivedi, Madhulika Guhathakurta, B.B. Karak, Robert J. Leamon, Shibu K. Matthew, Andres Munoz-Jaramillo, D. Nandy, Aimee Norton, L. Upton, S. Chatterjee, Rakesh Mazumder, Yamini K. Rao, Rahul Yadav
Publikováno v:
Frontiers in Astronomy and Space Sciences, Vol 5 (2018)
In 1844 Schwabe discovered that the number of sunspots increased and decreased over a period of about 11 years, that variation became known as the sunspot cycle. Almost eighty years later, Hale described the nature of the Sun's magnetic field, identi
Externí odkaz:
https://doaj.org/article/65cbb81bdb034ac1a604775b78363008
New regulations and increased awareness of data privacy have led to the deployment of new and more efficient differentially private mechanisms across public institutions and industries. Ensuring the correctness of these mechanisms is therefore crucia
Externí odkaz:
http://arxiv.org/abs/2307.05608
Autor:
Bravo-Hermsdorff, Gecia, Busa-Fekete, Róbert, Ghavamzadeh, Mohammad, Medina, Andres Muñoz, Syed, Umar
Modern statistical estimation is often performed in a distributed setting where each sample belongs to a single user who shares their data with a central server. Users are typically concerned with preserving the privacy of their samples, and also wit
Externí odkaz:
http://arxiv.org/abs/2305.07751
Autor:
Carey, CJ, Dick, Travis, Epasto, Alessandro, Javanmard, Adel, Karlin, Josh, Kumar, Shankar, Medina, Andres Munoz, Mirrokni, Vahab, Nunes, Gabriel Henrique, Vassilvitskii, Sergei, Zhong, Peilin
Compact user representations (such as embeddings) form the backbone of personalization services. In this work, we present a new theoretical framework to measure re-identification risk in such user representations. Our framework, based on hypothesis t
Externí odkaz:
http://arxiv.org/abs/2304.07210