E-LIB Suche - Ergebnisse für: Larrañaga, Pedro

1

Explainable Artificial Intelligence and Process Mining Appl..

Communications in Computer and Information Science, 2020

Juarez, Jose M ; Fernandez-Llatas, Carlos ; Bielza, Concha... - 1st ed. 2024 . , 2024

2

Feature Saliencies in Asymmetric Hidden Markov Models:

Puerto-Santana, Carlos Esteban ; Larrañaga, Pedro ; Bielza, Concha
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 3 - p. 3586-3600 , 2024

Link: https://doi.org/10.1109/..

3

BN-BacArena: Bayesian network extension of BacArena for the..:

Blasco, Telmo ; Balzerani, Francesco ; Valcárcel, Luis V...
Bioinformatics. 40 (2024) 5 - p. , 2024

Link: https://doi.org/10.1093/..

4

ProbExplainer: A Library for Unified Explainability of Prob..:

, In: Explainable Artificial Intelligence and Process Mining Applications for Healthcare; Communications in Computer and Information Science,

Valero-Leal, Enrique ; Larrañaga, Pedro ; Bielza, Concha - p. 41-51 , 2024

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

5

Estimation of Distribution Algorithms in Machine Learning: ..:

Larrañaga, Pedro ; Bielza, Concha
IEEE Transactions on Evolutionary Computation. , 2024

Link: https://doi.org/10.1109/..

6

Semiparametric Estimation of Distribution Algorithms for Co..:

Soloviev, Vicente P. ; Bielza, Concha ; Larrañaga, Pedro
IEEE Transactions on Evolutionary Computation. , 2024

Link: https://doi.org/10.1109/..

7

EDAspy: An extensible python package for estimation of dist..:

Soloviev, Vicente P. ; Larrañaga, Pedro ; Bielza, Concha
Neurocomputing. 598 (2024) - p. 128043 , 2024

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

8

Efficient search for relevance explanations using MAP-indep..:

Valero-Leal, Enrique ; Bielza, Concha ; Larrañaga, Pedro.
International Journal of Approximate Reasoning. 160 (2023) - p. 108965 , 2023

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

9

Variational Quantum Algorithm Parameter Tuning with Estimat..:

, In: 2023 IEEE Congress on Evolutionary Computation (CEC),

Soloviev, Vicente P. ; Larranaga, Pedro ; Bielza, Concha - p. 1-9 , 2023

Link: https://doi.org/10.1109/..

10

High-Dimensional Feature Characterization of Single Nucleot..:

, In: 2023 Computing in Cardiology (CinC),

Lozano, Dafne ; Bote, Luis ; Bielza, Concha... - p. 1-4 , 2023

Link: https://doi.org/10.22489..

11

Structural modeling of clinical factors for simultaneous va..:

Ram, Sebastiaan R ; Strange, Bryan A ; Zhang, Linda...
Alzheimer's & Dementia. 19 (2023) S18 - p. , 2023

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

12

Learning massive interpretable gene regulatory networks of ..:

Bernaola, Niko ; Michiels, Mario ; Larrañaga, Pedro..
PLOS Computational Biology. 19 (2023) 12 - p. e1011443 , 2023

Link: https://doi.org/10.1371/..

13

Feature subset selection for data and feature streams: a re..:

Villa-Blanco, Carlos ; Bielza, Concha ; Larrañaga, Pedro
Artificial Intelligence Review. 56 (2023) S1 - p. 1011-1062 , 2023

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

14

Constraint-based and hybrid structure learning of multidime..:

Villa-Blanco, Carlos ; Bregoli, Alessandro ; Bielza, Concha..
International Journal of Approximate Reasoning. 159 (2023) - p. 108945 , 2023

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

15

Causal reinforcement learning based on Bayesian networks ap..:

Valverde, Gabriel ; Quesada, David ; Larrañaga, Pedro.
Engineering Applications of Artificial Intelligence. 125 (2023) - p. 106657 , 2023

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