Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.

E. Capecci, J. Lobo, I. Laña, J. Ramos, and N. Kasabov. Evol. Syst., 11 (4): 599-613 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Lana Kim

Benoît Lanaspre

Tatjana Ismini Lanaras

Antonio Lanatà

Anna Lanaro

Other publications of authors with the same name

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.E. Manibardo, I. Laña, E. Villar-Rodriguez, and J. Ser. CoRR, (2022)A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles.E. Manibardo, I. Laña, E. Villar-Rodriguez, and J. Ser. IEEE Trans. Intell. Transp. Syst., 24 (8): 8701-8715 (August 2023)A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.I. Laña, E. Villar-Rodriguez, U. Etxegarai, I. Oregi, and J. Ser. ITSC, page 1922-1928. IEEE, (2019)On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.J. Ser, E. Manibardo, and I. Laña. ITSC, page 2991-2997. IEEE, (2022)Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.E. Manibardo, I. Laña, and J. Ser. IJCNN, page 1-8. IEEE, (2021)Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.I. Laña, J. Ser, M. Vélez, and I. Oregi. ICHSA, volume 514 of Advances in Intelligent Systems and Computing, page 91-100. Springer, (2017)Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning.A. Aranguren, I. Laña, E. Osaba, and S. Urra-Uriarte. ITSC, page 6199-6205. IEEE, (2023)Deep Learning for Road Traffic Forecasting: Does it Make a Difference?E. Manibardo, I. Laña, and J. Ser. IEEE Trans. Intell. Transp. Syst., 23 (7): 6164-6188 (2022)Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.E. Capecci, J. Lobo, I. Laña, J. Ramos, and N. Kasabov. Evol. Syst., 11 (4): 599-613 (2020)On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification.A. Arrieta, S. Gil-Lopez, I. Laña, M. Bilbao, and J. Ser. CoRR, (2021)

BibSonomy

Disambiguation of "Laña, Ibai"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.

Please choose a person to relate this publication to

Lana Kim

Benoît Lanaspre

Tatjana Ismini Lanaras

Antonio Lanatà

Anna Lanaro

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Laña, Ibai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.

Please choose a person to relate this publication to

Lana Kim

Benoît Lanaspre

Tatjana Ismini Lanaras

Antonio Lanatà

Anna Lanaro

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.