David Cárdenas-Peña

David Cárdenas-Peña

Universidad Tecnológica de Pereira

H-index: 10

Latin America-Colombia

About David Cárdenas-Peña

David Cárdenas-Peña, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidad Tecnológica de Pereira, specializes in the field of Artificial Intelligence, Image Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scalable and Interpretable Forecasting of Hydrological Time-Series based on Variational Gaussian Processes

Kreĭn twin support vector machines for imbalanced data classification

Posthoc interpretability of neural responses by grouping subject motor imagery skills using cnn-based connectivity

Approximation of Weymouth Equation Using Mathematical Programs with Complementarity Constraints for Natural Gas Transportation

Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines

Multi-Output Variational Gaussian Process for Daily Forecasting of Hydrological Resources

Bayesian Iterative Closest Point for Shape Analysis of Brain Structures

Hippocampus Segmentation using Patch-based Representation and ROC Label Enhancement

David Cárdenas-Peña Information

University

Position

___

Citations(all)

1018

Citations(since 2020)

715

Cited By

623

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

11

i10Index(since 2020)

9

Email

University Profile Page

Universidad Tecnológica de Pereira

Google Scholar

View Google Scholar Profile

David Cárdenas-Peña Skills & Research Interests

Artificial Intelligence

Image Processing

Machine Learning

Top articles of David Cárdenas-Peña

Title

Journal

Author(s)

Publication Date

Scalable and Interpretable Forecasting of Hydrological Time-Series based on Variational Gaussian Processes

Julián David Pastrana-Cortés

Julian Gil-Gonzalez

Andrés Marino Álvarez-Meza

David Augusto Cárdenas-Peña

Álvaro Angel Orozco-Gutiérrez

2024/4/23

Kreĭn twin support vector machines for imbalanced data classification

Pattern Recognition Letters

C Jimenez-Castaño

A Álvarez-Meza

D Cárdenas-Peña

A Orozco-Gutíerrez

J Guerrero-Erazo

2024/6/1

Posthoc interpretability of neural responses by grouping subject motor imagery skills using cnn-based connectivity

Sensors

Diego Fabian Collazos-Huertas

Andrés Marino Álvarez-Meza

David Augusto Cárdenas-Peña

Germán Albeiro Castaño-Duque

César Germán Castellanos-Domínguez

2023/3/2

Approximation of Weymouth Equation Using Mathematical Programs with Complementarity Constraints for Natural Gas Transportation

Engineering Proceedings

Cristian Alejandro Blanco-Martínez

David Augusto Cardenas-Peña

Mauricio Holguín-Londoño

Andrés Marino Álvarez-Meza

Álvaro Angel Orozco-Gutiérrez

2023/7/18

Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines

David Augusto and Orozco Gutierrez, Alvaro Angel and Guerrero Erazo, Jhoniers Gilberto, Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines

Cristian Alfonso Jimenez Castaño

Andres Marino Álvarez Meza

David Augusto Cardenas Peña

Alvaro Angel Orozco Gutierrez

Jhoniers Gilberto Guerrero Erazo

2023

Multi-Output Variational Gaussian Process for Daily Forecasting of Hydrological Resources

Engineering Proceedings

Julián David Pastrana-Cortés

David Augusto Cardenas-Peña

Mauricio Holguín-Londoño

Germán Castellanos-Dominguez

Álvaro Angel Orozco-Gutiérrez

2023/7/12

Bayesian Iterative Closest Point for Shape Analysis of Brain Structures

Mauricio Castano-Aguirre

Hernan F Garcia

Alvaro A Orozco

Gloria Liliana Porras-Hurtado

David A Cárdenas-Pena

2023

Hippocampus Segmentation using Patch-based Representation and ROC Label Enhancement

Engineering Letters

AD Tobar

JC Aguirre

DA Cardenas-Pena

AM Alvarez-Meza

CG Castellanos-Dominguez

2023/6/1

A novel OpenBCI framework for EEG-based neurophysiological experiments

Sensors

Yeison Nolberto Cardona-Álvarez

Andrés Marino Álvarez-Meza

David Augusto Cárdenas-Peña

Germán Albeiro Castaño-Duque

German Castellanos-Dominguez

2023/4/6

Brain Shape Correspondence Analysis Using Functional Maps

Jonnatan Arias-Garcia

Hernan F Garcia

Álvaro A Orozco

Gloria Liliana Porras-Hurtado

David A Cárdenas-Peña

...

2022/10/3

Supported diagnosis of attention deficit and hyperactivity disorder from EEG based on interpretable kernels for hidden Markov models

International journal of neural systems

Maria Camila Maya-Piedrahita

Paula Marcela Herrera-Gomez

Laura Berrío-Mesa

David Augusto Cárdenas-Peña

AA Orozco-Gutierrez

2022/3/7

Metodologías de apoyo diagnóstico del TDAH en niños basadas en aprendizaje de maquina y actividad eléctrica cerebral

David Augusto Cárdenas Peña

Steven Galindo Noreña

Paula Marcela Herrera Gómez

Álvaro Ángel Orozco Gutiérrez

2021

Kernel-based phase transfer entropy with enhanced feature relevance analysis for brain computer interfaces

Applied Sciences

Iván De La Pava Panche

Andrés Álvarez-Meza

Paula Marcela Herrera Gómez

David Cárdenas-Peña

Jorge Iván Ríos Patiño

...

2021/7/21

Random fourier features-based deep learning improvement with class activation interpretability for nerve structure segmentation

Sensors

Cristian Alfonso Jimenez-Castaño

Andrés Marino Álvarez-Meza

Oscar David Aguirre-Ospina

David Augusto Cárdenas-Peña

Álvaro Angel Orozco-Gutiérrez

2021/11/20

Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation

Sensors

Andrés F Valencia-Duque

David A Cárdenas-Peña

Andrés M Álvarez-Meza

Álvaro A Orozco-Gutiérrez

Héctor F Quintero-Riaza

2021/3/20

Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net

Progress in Artificial Intelligence and Pattern Recognition: 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5–7, 2021, Proceedings

David Augusto Cárdenas-Pena

Oscar David Aguirre-Ospina

Alvaro Angel Orozco-Gutierrez

2021/11/3

A space-structure based dissimilarity measure for categorical data

International Journal of Electrical and Computer Engineering (IJECE)

Kevin Alejandro Hernández

D Cárdenas Peña

Álvaro A Orozco

2021/2/1

EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications

Viviana Gómez-Orozco

Cristian Blanco Martínez

David Augusto Cárdenas-Peña

Paula Marcela Herrera

Álvaro Ángel Orozco-Guitiérrez

2021/11/1

CSP-based discriminative capacity index from EEG supporting ADHD diagnosis

S Galindo-Noreña

David Cárdenas-Peña

AA Orozco-Gutierrez

2021/1/18

Estimating Directed Phase-Amplitude Interactions from EEG Data through Kernel-Based Phase Transfer Entropy

Applied Sciences

Iván De La Pava Panche

Viviana Gómez-Orozco

Andrés Álvarez-Meza

David Cárdenas-Peña

Álvaro Orozco-Gutiérrez

2021/10/20

See List of Professors in David Cárdenas-Peña University(Universidad Tecnológica de Pereira)

Co-Authors

H-index: 40
Thierry Coupez

Thierry Coupez

MINES ParisTech

H-index: 32
Thomas Walter

Thomas Walter

MINES ParisTech

H-index: 29
G. Castellanos-Dominguez

G. Castellanos-Dominguez

Universidad Nacional de Colombia

H-index: 27
Elisabeth Restrepo Parra

Elisabeth Restrepo Parra

Universidad Nacional de Colombia

H-index: 26
Etienne DECENCIERE

Etienne DECENCIERE

MINES ParisTech

H-index: 23
Flavio Augusto Prieto Ortiz

Flavio Augusto Prieto Ortiz

Universidad Nacional de Colombia

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