PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Monti, Ricardo Pio"

Author of the publication

copydeleteadd this publication to your clipboard
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.

, , , , , , , , , and . PRNI, page 1-4. IEEE, (2016)

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.

Justyna Piotrowska University of Stuttgart

Ricardo Reyes Alva University of Stuttgart

Daniel Ricardo Obando Nunez University of Stuttgart

 

Other publications of authors with the same name

Robust contrastive learning and nonlinear ICA in the presence of outliers., , , and . CoRR, (2019)Estimating time-varying brain connectivity networks from functional MRI time series., , , , , and . NeuroImage, (2014)Causal Discovery with General Non-Linear Relationships using Non-Linear ICA., , and . UAI, page 45. AUAI Press, (2019)Classifying HCP task-fMRI networks using heat kernels., , , and . PRNI, page 1-4. IEEE, (2016)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , and . PRNI, page 1-4. IEEE Computer Society, (2015)Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods., , , , , and . Front. Comput. Neurosci., (2017)Towards the interpretation of time-varying regularization parameters in streaming penalized regression models., , and . Pattern Recognition Letters, (2019)Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections., , and . ICANN (3), volume 11141 of Lecture Notes in Computer Science, page 447-456. Springer, (2018)The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI., , , , , , and . NeuroImage, (2016)A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data ., and . UAI, page 300-309. AUAI Press, (2018)