E-LIB Suche - Ergebnisse für: Caamaño, Pilar

1

Building Trust in Autonomous Systems: Opportunities for Mod..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,

Mansfield, Thomas ; Caamaño, Pilar ; Godfrey, Sasha Blue... - p. 424-439 , 2022

2

Trio-based exome sequencing reveals a high rate of the de n..:

Brea-Fernández, Alejandro J. ; Álvarez-Barona, Miriam ; Amigo, Jorge...
European Journal of Human Genetics. 30 (2022) 8 - p. 938-945 , 2022

Link: https://doi.org/10.1038/..

3

M&S Driven Experimentation for Concept Development on Combi..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,

Hodicky, Jan ; Caamano, Pilar ; Tremori, Alberto. - p. 43-61 , 2021

Link: https://doi.org/10.1007/..

4

From neural stem cells to glioblastoma: A natural history o..:

Almengló, Cristina ; Caamaño, Pilar ; Fraga, Máximo...
Journal of Cellular Physiology. 236 (2021) 11 - p. 7390-7404 , 2021

Link: https://doi.org/10.1002/..

5

Immortalization of a cell line with neural stem cell charac..:

Almengló, Cristina ; González‐Mosquera, Tamara ; Caamaño, Pilar...
Developmental Dynamics. 249 (2019) 1 - p. 112-124 , 2019

Link: https://doi.org/10.1002/..

6

Expanding the clinical and molecular spectrum of the CWC27-..:

Brea-Fernández, Alejandro J. ; Cabanas, Paloma ; Dacruz-Álvarez, David...
Journal of Human Genetics. 64 (2019) 11 - p. 1133-1136 , 2019

Link: https://doi.org/10.1038/..

7

Considering Memory Networks in the LTM Structure of the Mul..:

, In: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion,

Duro, Richard J. ; Becerra, José Antonio ; Monroy, Juan. - p. 1057-1060 , 2016

Link: https://dl.acm.org/doi/1..

8

τ-NEAT: Initial experiments in precise temporal processing ..:

Caamaño, Pilar ; Bellas, Francisco ; Duro, Richard J.
Neurocomputing. 150 (2015) - p. 43-49 , 2015

Link: https://doi.org/10.1016/..

9

Autonomous UAV based search operations using Constrained Sa..:

Varela, Gervasio ; Caamaño, Pilar ; Orjales, Félix...
Neurocomputing. 132 (2014) - p. 54-67 , 2014

Link: https://doi.org/10.1016/..

10

Evolutionary algorithm characterization in real parameter o..:

Caamaño, Pilar ; Bellas, Francisco ; Becerra, Jose A..
Applied Soft Computing. 13 (2013) 4 - p. 1902-1921 , 2013

Link: https://doi.org/10.1016/..

11

Scalable Task Assignment for Heterogeneous Multi-Robot Team:

García, Paula ; Caamaño, Pilar ; Duro, Richard J..
International Journal of Advanced Robotic Systems. 10 (2013) 2 - p. 105 , 2013

Link: https://doi.org/10.5772/..

12

Dynamic learning in cognitive robotics through a procedural..:

Bellas, Francisco ; Caamaño, Pilar ; Faiña, Andrés.
Evolving Systems. 5 (2013) 1 - p. 49-63 , 2013

Link: https://doi.org/10.1007/..

13

Automatic neural-based pattern classification of motion beh..:

Prieto, Abraham ; Bellas, Francisco ; Caamaño, Pilar.
Neurocomputing. 75 (2012) 1 - p. 146-155 , 2012

Link: https://doi.org/10.1016/..

14

Are evolutionary algorithm competitions characterizing land..:

, In: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation,

Caamaño, Pilar ; Becerra, Jose A. ; Bellas, Francisco. - p. 695-702 , 2011

Link: https://dl.acm.org/doi/1..

15

PLGA:Poloxamer and PLGA:Poloxamine Blend Nanoparticles: Ne..:

Csaba, Noémi ; Caamaño, Pilar ; Sánchez, Alejandro..
Biomacromolecules. 6 (2004) 1 - p. 271-278 , 2004

Link: https://doi.org/10.1021/..