Zobrazeno 1 - 10
of 1 277
pro vyhledávání: '"P. Parras"'
While synthetic tabular data generation using Deep Generative Models (DGMs) offers a compelling solution to data scarcity and privacy concerns, their effectiveness relies on substantial training data, often unavailable in real-world applications. Thi
Externí odkaz:
http://arxiv.org/abs/2407.03080
The ever-increasing use of generative models in various fields where tabular data is used highlights the need for robust and standardized validation metrics to assess the similarity between real and synthetic data. Current methods lack a unified fram
Externí odkaz:
http://arxiv.org/abs/2405.07822
Publikováno v:
P. A. Apellaniz, J. Parras and S. Zazo, "An Improved Tabular Data Generator with VAE-GMM Integration," 2024 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, 2024, pp. 1886-1890
The rising use of machine learning in various fields requires robust methods to create synthetic tabular data. Data should preserve key characteristics while addressing data scarcity challenges. Current approaches based on Generative Adversarial Netw
Externí odkaz:
http://arxiv.org/abs/2404.08434
As in many fields of medical research, survival analysis has witnessed a growing interest in the application of deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored medical data. Current methods often m
Externí odkaz:
http://arxiv.org/abs/2312.14651
Autor:
Jean-Baptiste Huré, Louis Foucault, Litsa Maria Ghayad, Corentine Marie, Nicolas Vachoud, Lucas Baudouin, Rihab Azmani, Natalija Ivjanin, Alvaro Arevalo-Nuevo, Morgane Pigache, Lamia Bouslama-Oueghlani, Julie-Anne Chemelle, Marie-Aimée Dronne, Raphaël Terreux, Bassem Hassan, François Gueyffier, Olivier Raineteau, Carlos Parras
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-24 (2024)
Abstract Oligodendrocytes are critical for CNS myelin formation and are involved in preterm-birth brain injury (PBI) and multiple sclerosis (MS), both of which lack effective treatments. We present a pharmacogenomic approach that identifies compounds
Externí odkaz:
https://doaj.org/article/f356be8a42664bafb0bc5cc8f418a566
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Survival analysis in medical research has witnessed a growing interest in applying deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored data. Current methods make assumptions about the relation
Externí odkaz:
https://doaj.org/article/440b3a3116254cfca5058339436ffc17
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candi
Externí odkaz:
https://doaj.org/article/214bcb1e00c6445daeae7c62296c2045
Autor:
Feldmann, Daniel, Oehme, Felix, von Germersheim, Lennart, Parras, Ruben Lopez, Fischer, Andreas, Avila, Marc
We present results from novel field, lab and computer studies, that pave the way towards non-invasive classification of localised surface defects on running wind turbine rotors using infrared thermography (IRT). In particular, we first parametrise th
Externí odkaz:
http://arxiv.org/abs/2302.05716
Autor:
C. Vera Cáceres, C. Gubern Mérida, M. Lucas Parras, M. Terceño Izaga, T. Xuclà Ferrarons, J. Álvarez Cienfuegos, S. Bashir Viturro, V. Vera Monge, A. Murillo Hernández, I. Vielba Gómez, L. Carballo Perich, J. Serena Leal, Y. Silva Blas
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 44- (2024)
Externí odkaz:
https://doaj.org/article/78ceec99b4b64bad9d972c2c53b21cab
Autor:
O. Blasco Martínez, S. López Calvo, S. Colina Lizuaín, C. Fernández García, O. Parras Grajera, J. Rivera Pinillos, C. Anadón Gallardo, S. López Álava, J. Alarcón Falces, M. Marzo Sola
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 331- (2024)
Externí odkaz:
https://doaj.org/article/05b2dd781055421483960efbe8b535f1