Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Mora Antonio"'
Autor:
Castillo, Pedro A., Arenas, Maribel García, Rico, Nuria, Mora, Antonio Miguel, García-Sánchez, Pablo, Laredo, Juan Luis Jiménez, Guervós, Juan Julián Merelo
When search methods are being designed it is very important to know which parameters have the greatest influence on the behaviour and performance of the algorithm. To this end, algorithm parameters are commonly calibrated by means of either theoretic
Externí odkaz:
http://arxiv.org/abs/2402.05791
Autor:
Merelo, Juan Julián, Castillo, Pedro A., Laredo, Juan Luis Jiménez, Mora, Antonio M., Prieto, Alberto
In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough. In this paper we present a distributed evolutionary computation system that uses the computational capabilities of the ubiquituous web browser. Using
Externí odkaz:
http://arxiv.org/abs/2401.17234
In this work we propose a fine grained approach with self-adaptive migration rate for distributed evolutionary computation. Our target is to gain some insights on the effects caused by communication when the algorithm scales. To this end, we consider
Externí odkaz:
http://arxiv.org/abs/2401.17224
Autor:
Merelo, J. J., Castillo, P. A., Mora, Antonio M., Barranco, Francisco, Abbas, Noorhan, Guillen, Alberto, Tsivitanidou, Olia
Introducing new technologies such as messaging platforms, and the chatbots attached to them, in higher education, is rapidly growing. This introduction entails a careful consideration of the potential opportunities and/or challenges of adopting these
Externí odkaz:
http://arxiv.org/abs/2201.10289
Autor:
Mora Antonio, Donaldson Ian M
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 294 (2012)
Abstract Background Previous studies have noted that drug targets appear to be associated with higher-degree or higher-centrality proteins in interaction networks. These studies explicitly or tacitly make choices of different source databases, data i
Externí odkaz:
https://doaj.org/article/16a3d7e5c52c47859a5c3491a919620b
Autor:
Mora Antonio, Donaldson Ian M
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 455 (2011)
Abstract Background The iRefIndex addresses the need to consolidate protein interaction data into a single uniform data resource. iRefR provides the user with access to this data source from an R environment. Results The iRefR package includes tools
Externí odkaz:
https://doaj.org/article/91abfc2c10674f02b86e2e0a0a89c73a
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 388 (2011)
Abstract Background The iRefIndex consolidates protein interaction data from ten databases in a rigorous manner using sequence-based hash keys. Working with consolidated interaction data comes with distinct challenges: data are redundant, overlapping
Externí odkaz:
https://doaj.org/article/d86c0b86aa3a463e97f1097274649506