VLDB 2026 Research / reviewers in the wild / expert
Farid García
dblp:82/8923 · also Farid García-Lamont
· DBLP profile ↗
31ranked-venue papers
9as first author
7since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 17 · 3 first-author · 4 since 2021Artificial intelligence and machine learning · 12 · 5 first-author · 3 since 2021Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Bayesian Variable Selection for Multinomial Logistic Regression in Text Classification
Daniel Ayala Niño, Manuel Montes-y-Gómez, Gustavo Ramírez Valverde, Farid García, Ciro Velasco Cruz |
ICIC (5) | 4 |
| 2024 | Optimal segmentation of image datasets by genetic algorithms using color spaces
Jared Cervantes Canales, Jair Cervantes, Farid García, Arturo Yee Rendón, José Sergio Ruiz Castilla, Lisbeth Rodríguez-Mazahua |
Expert Syst. Appl. | 3 |
| 2023 | A comprehensive survey on segmentation techniques for retinal vessel segmentation
Jair Cervantes, Jared Cervantes Canales, Farid García, Arturo Yee Rendón, Josué Espejel Cabrera, Laura D. Jalili |
Neurocomputing | 3 |
| 2022 | Optimization of Vessel Segmentation Using Genetic Algorithms
Jared Cervantes Canales, Dalia Luna, Jair Cervantes, Farid García |
ICIC (1) | 4 |
| 2021 | Emotion Recognition from Facial Expressions Using a Genetic Algorithm to Feature Extraction
Laura D. Jalili, Jair Cervantes, Farid García, Adrián Trueba |
ICIC (1) | 3 |
| 2021 | Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network
Adrián Trueba, Jessica Sánchez-Arrazola, Jair Cervantes, Farid García |
ICIC (3) | 4 |
| 2021 | Mexican sign language segmentation using color based neuronal networks to detect the individual skin color
Josué Espejel Cabrera, Jair Cervantes, Farid García, José Sergio Ruiz Castilla, Laura D. Jalili |
Expert Syst. Appl. | 3 |
| 2020 | Identification of Diseases and Pests in Tomato Plants Through Artificial Vision
Ernesto García Amaro, Jair Cervantes, Josué Espejel Cabrera, José Sergio Ruiz Castilla, Farid García |
ICIC (3) | 5 |
| 2020 | A Hybrid Convolutional Neural Network for Complex Leaves Identification
Daniel Ayala Niño, Jair Cervantes, Farid García, Joel Ayala de la Vega, Guillermo Calderón Zavala |
ICIC (1) | 3 |
| 2020 | A comprehensive survey on support vector machine classification: Applications, challenges and trends
Jair Cervantes, Farid García, Lisbeth Rodríguez-Mazahua, Asdrúbal López-Chau |
Neurocomputing | 2 |
| 2020 | Color image segmentation using saturated RGB colors and decoupling the intensity from the hue
Farid García, Jair Cervantes, Asdrúbal López-Chau, José Sergio Ruiz Castilla |
Multim. Tools Appl. | 1 |
| 2020 | Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors
Farid García, Jair Cervantes, Asdrúbal López-Chau, Arturo Yee Rendón |
Pattern Anal. Appl. | 1 |
| 2019 | CNN and Metadata for Classification of Benign and Malignant Melanomas
José Sergio Ruiz Castilla, Juan-José Rangel-Cortes, Farid García, Adrián Trueba |
ICIC (2) | 3 |
| 2018 | Complex Identification of Plants from Leaves
Jair Cervantes, Farid García, Lisbeth Rodríguez-Mazahua, Alfonso Zarco Hidalgo, José Sergio Ruiz Castilla |
ICIC (3) | 2 |
| 2018 | Contrast Enhancement of RGB Color Images by Histogram Equalization of Color Vectors' Intensities
Farid García, Jair Cervantes, Asdrúbal López-Chau, Sergio Ruiz |
ICIC (3) | 1 |
| 2018 | Segmentation of images by color features: A survey
Farid García, Jair Cervantes, Asdrúbal López-Chau, Lisbeth Rodríguez-Mazahua |
Neurocomputing | 1 |
| 2018 | Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity
Farid García, Jair Cervantes, Asdrúbal López-Chau |
Neural Comput. Appl. | 1 |
| 2017 | Leaf Categorization Methods for Plant Identification
Asdrúbal López-Chau, Rafael Rojas-Hernández, Farid García, Valentín Trujillo-Mora, Lisbeth Rodríguez-Mazahua, Jair Cervantes |
ICIC (3) | 3 |
| 2017 | PSO-based method for SVM classification on skewed data sets
Jair Cervantes, Farid García, Lisbeth Rodríguez-Mazahua, Asdrúbal López-Chau, José Sergio Ruiz Castilla, Adrián Trueba |
Neurocomputing | 2 |
| 2016 | Recognition of Mexican Sign Language from Frames in Video Sequences
Jair Cervantes, Farid García, Lisbeth Rodríguez-Mazahua, Arturo Yee Rendón, Asdrúbal López-Chau |
ICIC (2) | 2 |
| 2016 | Is There a Relationship Between Neighborhoods of Minority Class Instances and the Performance of Classification Methods?
Asdrúbal López-Chau, Farid García, Jair Cervantes |
ICIC (1) | 2 |
| 2016 | Computing the Number of Groups for Color Image Segmentation Using Competitive Neural Networks and Fuzzy C-Means
Farid García, Jair Cervantes, José Sergio Ruiz Castilla, Asdrúbal López-Chau |
ICIC (2) | 1 |
| 2015 | PSO-Based Method for SVM Classification on Skewed Data-Sets
Jair Cervantes, Farid García, Asdrúbal López-Chau, Lisbeth Rodríguez-Mazahua, José Sergio Ruiz Castilla, Adrián Trueba |
ICIC (3) | 2 |
| 2015 | Classification on Imbalanced Data Sets, Taking Advantage of Errors to Improve Performance
Asdrúbal López-Chau, Farid García, Jair Cervantes |
ICIC (3) | 2 |
| 2015 | Color Characterization Comparison for Machine Vision-Based Fruit Recognition
Farid García, Jair Cervantes, José Sergio Ruiz Castilla, Asdrúbal López-Chau |
ICIC (1) | 1 |
| 2014 | A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets
Jair Cervantes, De-Shuang Huang, Farid García, Asdrúbal López-Chau |
ICIC (1) | 3 |
| 2013 | Fisher's decision tree
Asdrúbal López-Chau, Jair Cervantes, Lourdes López-García, Farid García |
Expert Syst. Appl. | 4 |
| 2012 | DYMOND: an active system for dynamic vertical partitioning of multimedia databasesabstractIn recent years, vertical partitioning techniques have been employed in multimedia databases to achieve efficient retrieval of multimedia objects. These techniques are static because the input to the partitioning process, which includes queries accessing database and their frequency as well as the database schema, is obtained from an earlier analysis stage. This implies that when the system undergoes sufficient changes, a new analysis stage is carried out to re-run the partitioning process. Multimedia databases are accessed by many users simultaneously, therefore queries and their frequency tend to quickly change over time. In this context, dynamic vertical partitioning can significantly improve performance. In this paper we present an active system called DYMOND (DYnamic Multimedia ON line Distribution), which performs a dynamic vertical partitioning in multimedia databases to improve query performance. Experimental results on benchmark multimedia databases clarify the validness of our system. Lisbeth Rodríguez-Mazahua, Xiaoou Li 0001, Jair Cervantes, Farid García |
IDEAS | 4 |
| 2012 | Recognition of Mexican banknotes via their color and texture features
Farid García, Jair Cervantes, Asdrúbal López-Chau |
Expert Syst. Appl. | 1 |
| 2011 | Wheeled vehicles' velocity updating by navigating on outdoor terrains
Matías Alvarado 0001, Farid García |
Neural Comput. Appl. | 2 |
| 2010 | Wheeled-Robot Navigation with Velocity Updating on Rough Terrains
Farid García, Matías Alvarado 0001 |
ICINCO (1) | 1 |