Zobrazeno 1 - 10
of 988
pro vyhledávání: '"Martínez, Ernesto"'
Publikováno v:
Iatreia, Vol 28, Iss 4, Pp 368-377 (2015)
Introduction: Candida albicans is the most frequently isolated yeast from the oral cavity of HIV-infected individuals. The use of fluconazole has increased the number of resistant or less-sensitive Candida species different from C. albicans, to this
Externí odkaz:
https://doaj.org/article/4f268a1542c54ca8bf6c1f63f7286804
Autor:
Duong-Trung, Nghia, Born, Stefan, Kim, Jong Woo, Schermeyer, Marie-Therese, Paulick, Katharina, Borisyak, Maxim, Cruz-Bournazou, Mariano Nicolas, Werner, Thorben, Scholz, Randolf, Schmidt-Thieme, Lars, Neubauer, Peter, Martinez, Ernesto
Machine learning (ML) is becoming increasingly crucial in many fields of engineering but has not yet played out its full potential in bioprocess engineering. While experimentation has been accelerated by increasing levels of lab automation, experimen
Externí odkaz:
http://arxiv.org/abs/2209.01083
Autor:
Kumaresan, Dhileeban, Wang, Richard, Martinez, Ernesto, Cziva, Richard, Todeschini, Alberto, Reed, Colorado J, Vahabi, Hossein
When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, utilities companies rely on reserve power sources that typically come f
Externí odkaz:
http://arxiv.org/abs/2201.06173
Autor:
Kim, Jong Woo, Krausch, Niels, Aizpuru, Judit, Barz, Tilman, Lucia, Sergio, Martínez, Ernesto C., Neubauer, Peter, Bournazou, Mariano Nicolas Cruz
Optimal experimental design for parameter precision attempts to maximize the information content in experimental data for a most effective identification of parametric model. With the recent developments in miniaturization and parallelization of cult
Externí odkaz:
http://arxiv.org/abs/2112.10548
Optimal setting of several hyper-parameters in machine learning algorithms is key to make the most of available data. To this aim, several methods such as evolutionary strategies, random search, Bayesian optimization and heuristic rules of thumb have
Externí odkaz:
http://arxiv.org/abs/2112.08094
Autor:
Kaspersetz, Lucas, Englert, Britta, Krah, Fabian, Martinez, Ernesto C., Neubauer, Peter, Cruz Bournazou, M. Nicolas
Publikováno v:
In SLAS Technology December 2024 29(6)
Autor:
Mione, Federico M., Kaspersetz, Lucas, Luna, Martin F., Aizpuru, Judit, Scholz, Randolf, Borisyak, Maxim, Kemmer, Annina, Schermeyer, M. Therese, Martinez, Ernesto C., Neubauer, Peter, Cruz Bournazou, M. Nicolas
Publikováno v:
In Computers and Chemical Engineering August 2024 187
Autor:
Almohdar, Danah, Murcia, David, Tang, Qun, Ortiz, Abigail, Martinez, Ernesto, Parwal, Tanay, Kamble, Pradnya, Çağlayan, Melike
Publikováno v:
In Journal of Biological Chemistry June 2024 300(6)