Folgen
Gherardo Varando
Titel
Zitiert von
Zitiert von
Jahr
A survey on multi‐output regression
H Borchani, G Varando, C Bielza, P Larranaga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015
5132015
Decision boundary for discrete Bayesian network classifiers
G Varando, MC Bielza Lozoya, PM Larrañaga Múgica
Journal of Machine Learning Research, 2725-2749, 2015
262015
The R package stagedtrees for structural learning of stratified staged trees
F Carli, M Leonelli, E Riccomagno, G Varando
Journal of Statistical Software 102 (6), 1-30, 2022
202022
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ...
https://arxiv.org/abs/2002.09573, 2020
162020
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
G Varando, C Bielza, P Larrañaga
International Journal of Approximate Reasoning 68, 164-178, 2016
142016
Expressive power of binary relevance and chain classifiers based on Bayesian networks for multi-label classification
G Varando, C Bielza, P Larranaga
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014
102014
On generating random Gaussian graphical models
I Córdoba, G Varando, C Bielza, P Larrañaga
International Journal of Approximate Reasoning 125, 240-250, 2020
82020
Graphical continuous Lyapunov models
G Varando, NR Hansen
Conference on Uncertainty in Artificial Intelligence, 989-998, 2020
82020
MultiMap: a tool to automatically extract and analyse spatial microscopic data from large stacks of confocal microscopy images
G Varando, R Benavides-Piccione, A Muñoz, A Kastanauskaite, C Bielza, ...
Frontiers in Neuroanatomy 12, 37, 2018
72018
Context-specific causal discovery for categorical data using staged trees
M Leonelli, G Varando
arXiv preprint arXiv:2106.04416, 2021
62021
Learning DAGs without imposing acyclicity
G Varando
arXiv preprint arXiv:2006.03005, 2020
62020
Conditional density approximations with mixtures of polynomials
G Varando, PL López‐Cruz, TD Nielsen, P Larranaga, C Bielza
International Journal of Intelligent Systems 30 (3), 236-264, 2015
52015
Sparse Cholesky covariance parametrization for recovering latent structure in ordered data
I Córdoba, C Bielza, P Larrañaga, G Varando
IEEE Access 8, 154614-154624, 2020
42020
A fast Metropolis-Hastings method for generating random correlation matrices
I Córdoba, G Varando, C Bielza, P Larrañaga
Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018
42018
Structural learning of simple staged trees
M Leonelli, G Varando
arXiv preprint arXiv:2203.04390, 2022
32022
Staged trees and asymmetry-labeled DAGs
G Varando, F Carli, M Leonelli
arXiv preprint arXiv:2108.01994, 2021
32021
A new class of generative classifiers based on staged tree models
F Carli, M Leonelli, G Varando
arXiv preprint arXiv:2012.13798, 2020
32020
A partial orthogonalization method for simulating covariance and concentration graph matrices
I Córdoba, G Varando, C Bielza, P Larrañaga
International Conference on Probabilistic Graphical Models, 61-72, 2018
32018
Highly efficient structural learning of sparse staged trees
M Leonelli, G Varando
International Conference on Probabilistic Graphical Models, 193-204, 2022
22022
Learning Granger Causal Feature Representations
G Varando, MA Fernández-Torres, G Camps-Valls
12021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20