E-LIB Suche - Ergebnisse für: Alvarez-Meza, A.

1

Kreĭn twin support vector machines for imbalanced data clas..:

Jimenez-Castaño, C. ; Álvarez-Meza, A. ; Cárdenas-Peña, D...
Pattern Recognition Letters. 182 (2024) - p. 39-45 , 2024

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

2

Relevant information undersampling to support imbalanced da..:

Hoyos-Osorio, J. ; Alvarez-Meza, A. ; Daza-Santacoloma, G...
Neurocomputing. 436 (2021) - p. 136-146 , 2021

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

3

Learning from multiple inconsistent and dependent annotator..:

Gil-Gonzalez, J. ; Orozco-Gutierrez, A. ; Alvarez-Meza, A.
Neurocomputing. 423 (2021) - p. 236-247 , 2021

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

4

Enhanced automatic twin support vector machine for imbalanc..:

Jimenez-Castaño, C. ; Alvarez-Meza, A. ; Orozco-Gutierrez, A.
Pattern Recognition. 107 (2020) - p. 107442 , 2020

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

5

Video-based social behavior recognition based on kernel rel..:

Fernández-Ramírez, J. ; Álvarez-Meza, A. ; Pereira, E. M...
The Visual Computer. 36 (2019) 8 - p. 1535-1547 , 2019

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

6

An Enhanced Sequential Search Feature Selection Based on mR..:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

Castañeda-Gonzalez, J. ; Alvarez-Meza, A. ; Orozco-Gutierrez, A. - p. 487-495 , 2019

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

7

An Automatic Approximate Bayesian Computation Approach Usin..:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

González-Vanegas, W. ; Álvarez-Meza, A. ; Orozco-Gutiérrez, A. - p. 12-19 , 2019

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

8

Learning from multiple annotators using kernel alignment:

Gil-Gonzalez, J. ; Alvarez-Meza, A. ; Orozco-Gutierrez, A.
Pattern Recognition Letters. 116 (2018) - p. 150-156 , 2018

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

9

Supervised kernel approach for automated learning using Gen..:

Cárdenas-Peña, D. ; Collazos-Huertas, D. ; Álvarez-Meza, A..
Engineering Applications of Artificial Intelligence. 68 (2018) - p. 10-17 , 2018

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

10

Correlated Chained Gaussian Processes for Datasets With Mul..:

Gil-González, J. ; Giraldo, Juan-José ; Álvarez-Meza, A. M...
IEEE Transactions on Neural Networks and Learning Systems. 34 (2023) 8 - p. 4514-4528 , 2023

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

11

Deep Learning Semantic Segmentation of Feet Using Infrared ..:

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

Mejia-Zuluaga, Rafael ; Aguirre-Arango, Juan Carlos ; Collazos-Huertas, Diego... - p. 342-352 , 2022

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

12

Subject-Dependent Artifact Removal for Enhancing Motor Imag..:

Tobón-Henao, Mateo ; Álvarez-Meza, Andrés ; Castellanos-Domínguez, Germán
Sensors. 22 (2022) 15 - p. 5771 , 2022

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

13

Estimating Directed Phase-Amplitude Interactions from EEG D..:

De La Pava Panche, Iván ; Gómez-Orozco, Viviana ; Álvarez-Meza, Andrés..
Applied Sciences. 11 (2021) 21 - p. 9803 , 2021

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

14

Single-Trial Kernel-Based Functional Connectivity for Enhan..:

García-Murillo, Daniel Guillermo ; Alvarez-Meza, Andres ; Castellanos-Dominguez, German
Sensors. 21 (2021) 8 - p. 2750 , 2021

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

15

Deep Neural Regression Prediction of Motor Imagery Skills U..:

Caicedo-Acosta, Julian ; Castaño, German A. ; Acosta-Medina, Carlos..
Sensors. 21 (2021) 6 - p. 1932 , 2021

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