Zobrazeno 1 - 10
of 1 871
pro vyhledávání: '"RODRIGUEZ, RICARDO"'
Autor:
Gare, Gautam, Armouti, Jana, Madaan, Nikhil, Panda, Rohan, Fox, Tom, Hutchins, Laura, Krishnan, Amita, Rodriguez, Ricardo, DeBoisblanc, Bennett, Ramanan, Deva, Galeotti, John
A crucial question in active patient care is determining if a treatment is having the desired effect, especially when changes are subtle over short periods. We propose using inter-patient data to train models that can learn to detect these fine-grain
Externí odkaz:
http://arxiv.org/abs/2411.01144
In the non-metric gravity proposed by K. Krasnov, this is a theory in which the scalar constraint of the Ashtekar's formalism is modified in such way that the cosmological constant is replaced by a cosmological function that depends of the canonical
Externí odkaz:
http://arxiv.org/abs/2408.07711
The present paper is devoted to study the effect of connected and disconnected rotations of G\"odel algebras with operators grounded on directly indecomposable structures. The structures resulting from this construction we will present are nilpotent
Externí odkaz:
http://arxiv.org/abs/2405.19354
Autor:
Gare, Gautam Rajendrakumar, Fox, Tom, Chansangavej, Beam, Krishnan, Amita, Rodriguez, Ricardo Luis, deBoisblanc, Bennett P, Ramanan, Deva Kannan, Galeotti, John Michael
Accurate and interpretable diagnostic models are crucial in the safety-critical field of medicine. We investigate the interpretability of our proposed biomarker-based lung ultrasound diagnostic pipeline to enhance clinicians' diagnostic capabilities.
Externí odkaz:
http://arxiv.org/abs/2402.12394
It is well known that frame aggregation in Internet communications improves transmission efficiency. However, it also causes a delay that for some real-time communications is inappropriate, thus creating a trade-off between efficiency and delay. In t
Externí odkaz:
http://arxiv.org/abs/2211.03471
Autor:
Gare, Gautam Rajendrakumar, Fox, Tom, Lowery, Pete, Zamora, Kevin, Tran, Hai V., Hutchins, Laura, Montgomery, David, Krishnan, Amita, Ramanan, Deva Kannan, Rodriguez, Ricardo Luis, deBoisblanc, Bennett P, Galeotti, John Michael
Contemporary artificial neural networks (ANN) are trained end-to-end, jointly learning both features and classifiers for the task of interest. Though enormously effective, this paradigm imposes significant costs in assembling annotated task-specific
Externí odkaz:
http://arxiv.org/abs/2206.08398
Publikováno v:
In Current Opinion in Structural Biology December 2024 89
Autor:
Cored, Jorge, Sánchez, Antonio, Viguri, Fernando, Rodríguez, Ricardo, Lamata, Pilar, Carmona, Daniel
Publikováno v:
In Journal of Organometallic Chemistry 1 November 2024 1021
Autor:
Acosta, Gustavo Fabian, Calderon-Sanchez, Javier, Merino-Alonso, Pablo Eleazar, Zamora-Rodriguez, Ricardo
Publikováno v:
In Ocean Engineering 15 October 2024 310 Part 2