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ORCIDRuber Hernández-García
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2020 – today
- 2024
[j9]Edwin H. Salazar Jurado, Karina Vilches-Ponce, Ruber Hernández-García
, Ricardo J. Barrientos:
Palm vein modeling for generating synthetic images with biometric purposes: a geometrical approach. Comput. Appl. Math. 43(3): 108 (2024)- [j8]Francisco M. Castro, Rubén Delgado-Escaño, Ruber Hernández-García, Manuel J. Marín-Jiménez, Nicolás Guil:
AttenGait: Gait recognition with attention and rich modalities. Pattern Recognit. 148: 110171 (2024) - 2023
- [j7]Juan S. Botero-Valencia, Adrian Martinez-Perez, Ruber Hernández-García, Luis Castano-Londono:
Exploring Spatial Patterns in Sensor Data for Humidity, Temperature, and RSSI Measurements. Data 8(5): 82 (2023) - [j6]Yoleidy Huérfano-Maldonado, Marco Mora, Karina Vilches, Ruber Hernández-García, Rodrigo Gutiérrez, Miguel A. Vera:
A comprehensive review of extreme learning machine on medical imaging. Neurocomputing 556: 126618 (2023) - [j5]Edwin H. Salazar Jurado, Ruber Hernández-García, Karina Vilches-Ponce, Ricardo J. Barrientos, Marco Mora, Gaurav Jaswal:
Towards the generation of synthetic images of palm vein patterns: A review. Inf. Fusion 89: 66-90 (2023) - [c19]Mateo Mejia-Herrera, Juan S. Botero-Valencia, Ruber Hernández-García:
Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns. IntelliSys (1) 2023: 265-283 - [c18]Viviana Niño-Celis, Rebeca A. Huerta-Santis, Edwin H. Salazar Jurado, Ruber Hernández-García:
Palm Vein Image Quality Assessment through Natural Scene and Texture Statistics. SCCC 2023: 1-7 - [c17]Felipe A. Romero, Ruber Hernández-García, Ricardo J. Barrientos:
Computer Mouse Control Using Iris Tracking: an Accessible and Cost-Effective Approach for People with Mobility Disabilities. SCCC 2023: 1-8 - 2022
- [j4]Mateo Rico-Garcia, Juan S. Botero-Valencia, Ruber Hernández-García:
Vertical Jump Data from Inertial and Optical Motion Tracking Systems. Data 7(8): 116 (2022) - [j3]Ricardo J. Barrientos, Javier A. Riquelme, Ruber Hernández-García, Cristóbal A. Navarro, Wladimir E. Soto-Silva:
Fast kNN query processing over a multi-node GPU environment. J. Supercomput. 78(2): 3045-3071 (2022) - [c16]Sebastián Argentina, Axel Quinteros, Ruber Hernández-García, Fernando Emmanuel Frati, Ricardo J. Barrientos:
A Comparative Analysis of Massive Finger-Vein Recognition Algorithms: From Energy Consumption Perspective. SCCC 2022: 1-6 - [c15]Luis A. Laurens Arredondo, Ruber Hernández-García:
Engineering Students' Perception of the Use of Machine Learning in Accounting Learning. SCCC 2022: 1-8 - [c14]Luis A. Laurens Arredondo, Ruber Hernández-García:
Academic Performance Predicting Model based on Machine Learning and Keller's Motivation Measure. SCCC 2022: 1-7 - [c13]Ricardo J. Barrientos, Fabián Silva Pavez, Ruber Hernández-García, Marco Mora:
Using Heaps on GPU. SCCC 2022: 1-4 - [i1]Edwin H. Salazar Jurado, Ruber Hernández-García, Karina Vilches-Ponce, Ricardo J. Barrientos, Marco Mora, Gaurav Jaswal:
Towards the Generation of Synthetic Images of Palm Vein Patterns: A Review. CoRR abs/2205.10179 (2022) - 2021
- [c12]Ruber Hernández-García, José I. Santamaría, Ricardo J. Barrientos, Edwin H. Salazar Jurado, Francisco Manuel Castro, Julián Ramos Cózar, Nicolás Guil:
Large-scale palm vein recognition on synthetic datasets. SCCC 2021: 1-8 - [c11]José I. Santamaría, Ruber Hernández-García, Ricardo J. Barrientos, Francisco Manuel Castro, Julián Ramos Cózar, Nicolás Guil:
Evaluation of end-to-end CNN models for palm vein recognition. SCCC 2021: 1-8 - [c10]David Zabala-Blanco, Ruber Hernández-García, Ricardo J. Barrientos, Marco Mora:
Evaluation of the standard and regularized ELMs for gender and age classification based on palm vein images. SCCC 2021: 1-8 - 2020
- [c9]Javier A. Riquelme, Ricardo J. Barrientos, Ruber Hernández-García, Cristóbal A. Navarro:
An exhaustive algorithm based on GPU to process a kNN query. SCCC 2020: 1-8 - [c8]Iván Merino Rodríguez, Ruber Hernández-García, Augusto Hernández-Solís:
ANICCA, a computational tool for simulating nuclear fuel cycles. SCCC 2020: 1-6 - [c7]David Zabala-Blanco, Marco Mora, Ruber Hernández-García, Ricardo J. Barrientos:
The Extreme Learning Machine Algorithm for Classifying Fingerprints. SCCC 2020: 1-8
2010 – 2019
- 2019
- [j2]Ruber Hernández-García, Ricardo J. Barrientos, Cristofher Rojas, Wladimir E. Soto-Silva, Marco Mora, Paulo González, Fernando Emmanuel Frati:
Fast Finger Vein Recognition Based on Sparse Matching Algorithm under a Multicore Platform for Real-Time Individuals Identification. Symmetry 11(9): 1167 (2019) - [c6]Ricardo J. Barrientos, Ruber Hernández-García, Kevin Ortega, Emilio Luque, Daniel Peralta:
Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms. JCC&BD 2019: 61-72 - [c5]Hernán Campos, Ruber Hernández-García, Ricardo J. Barrientos:
Evaluation of LBP-based descriptors for Iris Recognition based on Learning Vector Quantization Classifier under a Multi-core Platform. SCCC 2019: 1-8 - [c4]Ruber Hernández-García, Sebastián Guidet, Ricardo J. Barrientos, Fernando Emmanuel Frati:
Massive Finger-vein Identification based on Local Line Binary Pattern under Parallel and Distributed Systems. SCCC 2019: 1-7 - [c3]Philip Iglesias, Ruber Hernández-García, Ricardo J. Barrientos, Emmanuel Goncalves, Marco Mora:
Iris Recognition based on Displacement Information using a Sparse Matching Technique. SCCC 2019: 1-8 - 2018
- [j1]Ruber Hernández-García, Julián Ramos Cózar, Nicolás Guil, Edel B. García Reyes, Hichem Sahli:
Improving Bag-of-Visual-Words model using visual n-grams for human action classification. Expert Syst. Appl. 92: 182-191 (2018) - [c2]Cristofher Rojas, Ruber Hernández-García, Ricardo J. Barrientos:
Individuals Identification Using Finger Veins under a Multi-core Platform. SCCC 2018: 1-7 - 2014
- [c1]Ruber Hernández-García, Edel B. García Reyes, Julián Ramos Cózar, Nicolás Guil:
Human Action Classification Using N-Grams Visual Vocabulary. CIARP 2014: 319-326
Coauthor Index
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