E-LIB Suche - Ergebnisse für: Sucar, L. Enrique

1

CARL: A Synergistic Framework for Causal Reinforcement Lear..:

Méndez-Molina, Arquímides ; Morales, Eduardo F. ; Sucar, L. Enrique
IEEE Access. 11 (2023) - p. 126462-126481 , 2023

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

2

Data Imputation with Adversarial Neural Networks for Causal..:

, In: Advances in Soft Computing; Lecture Notes in Computer Science,

Muñoz-Benítez, Julio ; Sucar, L. Enrique - p. 39-51 , 2023

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

3

Inter-task Similarity Measure for Heterogeneous Tasks:

, In: Lecture Notes in Computer Science; RoboCup 2021: Robot World Cup XXIV,

Serrano, Sergio A. ; Martinez-Carranza, Jose ; Sucar, L. Enrique - p. 40-52 , 2022

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

4

Detecting and Identifying Global Visual Novelties in Drivin..:

, In: 2022 IEEE Intelligent Vehicles Symposium (IV),

Palacios-Alonso, Miguel A. ; Escalante, H. Jair ; Sucar, L. Enrique - p. 1649-1654 , 2022

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

5

Semi-supervised Hierarchical Classification Based on Local ..:

, In: Advances in Artificial Intelligence – IBERAMIA 2022; Lecture Notes in Computer Science,

Serrano-Pérez, Jonathan ; Sucar, L. Enrique - p. 255-266 , 2022

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

6

Artificial datasets for hierarchical classification:

Serrano-Pérez, Jonathan ; Sucar, L. Enrique
Expert Systems with Applications. 182 (2021) - p. 115218 , 2021

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

7

Learning a causal structure: a Bayesian random graph approa..:

Gonzalez-Soto, Mauricio ; Feliciano-Avelino, Ivan ; Sucar, L. Enrique.
Neural Computing and Applications. 35 (2021) 25 - p. 18147-18159 , 2021

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

8

Knowledge-Based Hierarchical POMDPs for Task Planning:

Serrano, Sergio A. ; Santiago, Elizabeth ; Martinez-Carranza, Jose..
Journal of Intelligent & Robotic Systems. 101 (2021) 4 - p. , 2021

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

9

Causal Based Action Selection Policy for Reinforcement Lear..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,

Feliciano-Avelino, Ivan ; Méndez-Molina, Arquímides ; Morales, Eduardo F.. - p. 213-227 , 2021

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

10

Unobtrusive Stress Assessment Using Smartphones:

Maxhuni, Alban ; Hernandez-Leal, Pablo ; Morales, Eduardo F....
IEEE Transactions on Mobile Computing. 20 (2021) 6 - p. 2313-2325 , 2021

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

11

Next-best-view regression using a 3D convolutional neural n..:

Vasquez-Gomez, J. Irving ; Troncoso, David ; Becerra, Israel..
Machine Vision and Applications. 32 (2021) 2 - p. , 2021

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

12

Perceptual and Pixel-Wise Information for Visual Novelty De..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

Palacios-Alonso, Miguel A. ; Escalante, Hugo Jair ; Sucar, L. Enrique - p. 251-260 , 2021

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

13

Supervised learning of the next-best-view for 3d object rec..:

Mendoza, Miguel ; Vasquez-Gomez, J. Irving ; Taud, Hind..
Pattern Recognition Letters. 133 (2020) - p. 224-231 , 2020

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

14

What the Appearance Channel from Two-Stream Architectures f..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

Oves García, Reinier ; Sucar, L. Enrique - p. 251-260 , 2020

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

15

Planning Under Uncertainty Applications in Power Plants Usi..:

Reyes, Alberto ; Sucar, L. Enrique ; Ibargüengoytia, Pablo H..
Energies. 13 (2020) 9 - p. 2302 , 2020

Link: https://doi.org/10.3390/..