Ensembles of Fuzzy Classifiers. - Juana Canul-Reich; Larry Shoemaker; Lawrence O. Hall (FUZZ-IEEE, 2007)

Feature selection for microarray data by AUC analysis. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2008)

Scaling Fuzzy Models. - Lawrence O. Hall; Dmitry B. Goldgof; Juana Canul-Reich; Prodip Hore; Weijian Cheng; Larry Shoemaker (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Filtering for improved gene selection on microarray data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2010)

Iterative Feature perturbation as a gene Selector for microarray Data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; John N. Korecki; Steven Eschrich (Int. J. Pattern Recognit. Artif. Intell., 2012)

A New Collection of Preprocessed Digital Mammograms. - Juana Canul-Reich; Omar Trinidad Gutiérrez Méndez (MICAI (1), 2013)

A Sentiment Analysis Model: To Process Subjective Social Corpus through the Adaptation of an Affective Semantic Lexicon. - Guadalupe Gutiérrez 001; Ma. De Lourdes Margain Fuentes; Carlos de Luna; Alejandro Padilla; Julio Ponce; Juana Canul-Reich; Carlos Alberto Ochoa Ortíz Zezzatti (MICAI (1), 2014)

Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (Comput. Math. Methods Medicine, 2014)

Design of a Semantic Lexicon Affective Applied to an Analysis Model Emotions for Teaching Evaluation. - Guadalupe Gutiérrez 001; Lourdes Margain; Alejandro Padilla; Juana Canul-Reich; Julio Ponce (DCAI, 2015)

Towards a predictive model for Guillain-Barré syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (EMBC, 2015)

A Kernel-Based Predictive Model for Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; Juan Frausto Solís; Juan José Méndez-Castillo (MICAI (2), 2015)

Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids. - Juana Canul-Reich; José Hernández-Torruco; Juan Frausto Solís; Juan José Méndez-Castillo (Int. J. Comb. Optim. Probl. Informatics, 2015)

Combination of Trees for Guillain-Barré Subtype Classification. - Juana Canul-Reich; Juan Frausto Solís; José Hernández-Torruco; Juan José Méndez-Castillo (DCAI, 2016)

Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features. - José Hernández-Torruco; Juana Canul-Reich; Oscar Chávez-Bosquez (MICAI (2), 2016)

Proposal of a Sentiment Analysis Model in Tweets for improvement of the teaching - learning process in the classroom using a corpus of subjectivity. - Guadalupe Gutiérrez Esparza; Alejandro Padilla Díaz; Juana Canul-Reich; Carlos Alejandro De Luna Ortega; Julio Ponce (Int. J. Comb. Optim. Probl. Informatics, 2016)

Editorial for Volume 7 Number 2: Simulation human stampedes to improve decision making in Humanitarian Logistics. - Alberto Ochoa Ortíz; Juana Canul-Reich; Diego Acosta; Pilar Pozos Parra; Saúl González; Miguel Ruíz; María Beatríz Bernábe-Loranca (Int. J. Comb. Optim. Probl. Informatics, 2016)

A Global Search Approach for Inducing Oblique Decision Trees Using Differential Evolution. - Rafael Rivera-López; Juana Canul-Reich (Canadian AI, 2017)

Rule based classifiers for diagnosis of mechanical ventilation in Guillain-Barré Syndrome. - José Hernández-Torruco; Juana Canul-Reich; David Lázaro Román (DCAI, 2017)

OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees. - Rafael Rivera-López; Juana Canul-Reich; José A. Gámez 001; José M. Puerta (ICAISC (1), 2017)

Use of an architectural model to assist children with learning problems in basic mathematics. - Miguel Angel Ortiz Esparza; Jaime Muñoz Arteaga; Juana Canul-Reich; Víctor Larios Osorio; Francisco Javier Álvarez Ramírez; Alfredo Mendoza-González (Interacción, 2017)

A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms. - Juana Canul-Reich; Juan Frausto Solís; José Hernández-Torruco (Comput. Math. Methods Medicine, 2017)

Bacterial Foraging Optimization Algorithm for Menu Planning. - Betania Hernández-Ocaña; Oscar Chávez-Bosquez; José Hernández-Torruco; Juana Canul-Reich; Maria del Pilar Pozos Parra (IEEE Access, 2018)

Construction of Near-Optimal Axis-Parallel Decision Trees Using a Differential-Evolution-Based Approach. - Rafael Rivera-López; Juana Canul-Reich (IEEE Access, 2018)

A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods. - Juana Canul-Reich; José Hernández-Torruco; Oscar Chávez-Bosquez; Betania Hernández-Ocaña (Comput. Intell. Neurosci., 2018)

Mining: Students Comments about Teacher Performance Assessment using Machine Learning Algorithms. - Guadalupe Gutiérrez 001; Juana Canul-Reich; Alberto Ochoa-Zezzatti; Lourdes Margain; Julio Ponce (Int. J. Comb. Optim. Probl. Informatics, 2018)

Solution of the Assignment of Schedules Problem with the Gray Wolf Optimizer (GWO), Applying Evolutionary Parameters. - Humberto Muñoz Bautista; Juana Canul-Reich; Alejandro Padilla Díaz; Julio César Ponce Gallegos; Jaime Muñoz Arteaga; Pedro Daniel García González (Res. Comput. Sci., 2018)

Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers. - Martín Montes Rivera; Alejandro Padilla; Juana Canul-Reich; Julio Ponce; Alberto Ochoa-Zezzatti (Fuzzy Logic Augmentation of Neural and Optimization Algorithms, 2018)

Performance of Human Proposed Equations, Genetic Programming Equations, and Artificial Neural Networks in a Real-Time Color Labeling Assistant for the Colorblind. - Martín Montes Rivera; Alejandro Padilla; Julio César Ponce Gallegos; Juana Canul-Reich; Alberto Ochoa-Zezzatti; Miguel A. Meza de Luna (MICAI, 2019)

Augmented Reality Labels for Security Signs based on Color Segmentation with PSO for Assisting Colorblind People. - Martín Montes Rivera; Alejandro Padilla Díaz; Juana Canul-Reich; Julio César Ponce Gallegos; Alberto Ochoa-Zezzatti (Int. J. Comb. Optim. Probl. Informatics, 2019)

An Eco-System Architectural Model for Delivering Educational Services to Children With Learning Problems in Basic Mathematics. - Miguel Angel Ortiz Esparza; Jaime Muñoz Arteaga; José Eder Guzmán-Mendoza; Juana Canul-Reich; Julien Broisin (Int. J. Inf. Technol. Syst. Approach, 2019)

Realtime Recoloring Objects using Artificial Neural Networks through a Cellphone. - Martín Montes Rivera; Alejandro Padilla; Juana Canul-Reich; Julio Ponce; Alberto Ochoa-Zezzatti (Res. Comput. Sci., 2019)

A permutational-based Differential Evolution algorithm for feature subset selection. - Rafael Rivera-López; Efrén Mezura-Montes; Juana Canul-Reich; Marco Antonio Cruz-Chávez (Pattern Recognit. Lett., 2020)

Combinación de rankings como método para la identificación de biomarcadores de vaginosis bacteriana. - Jesús Francisco Pérez-Gómez; Juana Canul-Reich; Erick De-La-Cruz-Hernandez (Res. Comput. Sci., 2020)

An Enhanced Method for Diagnosis of Bacterial Vaginosis based on Support Vector Machines with Linear Kernel. - Jesús Francisco Pérez-Gómez; Juana Canul-Reich; Erick De-La-Cruz-Hernandez (Int. J. Comb. Optim. Probl. Informatics, 2021)

Comparación entre métodos de alineamiento de múltiples secuencias para análisis filogenético de secuencias de ADN vaginales en R. - Isaí Angulo-Jiménez; Juana Canul-Reich; Betania Hernández-Ocaña (Res. Comput. Sci., 2021)

Minería de secuencias de ADN para identificación de bacterias asociadas con Vaginosis Bacteriana. - Freddy Garcia-Fuentes; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Betania Hernández-Ocaña; Oscar Chávez-Bosquez (Res. Comput. Sci., 2021)

Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis. - Freddy De la Cruz-Ruiz; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Rafael Rivera-López (Int. J. Comb. Optim. Probl. Informatics, 2022)

Induction of decision trees as classification models through metaheuristics. - Rafael Rivera-López; Juana Canul-Reich; Efrén Mezura-Montes; Marco Antonio Cruz-Chávez (Swarm Evol. Comput., 2022)

Comparative Study of the Starting Stage of Adaptive Differential Evolution on the Induction of Oblique Decision Trees. - Miguel Ángel Morales-Hernández; Rafael Rivera-López; Efrén Mezura-Montes; Juana Canul-Reich; Marco Antonio Cruz-Chávez (WILE/HIS/CIAPP@MICAI, 2023)

A Partitional Clustering Approach for the Identification and Analysis of Coexisting Bacteria in Groups of Bacterial Vaginosis Patients. - Henry Jesús Hernández-Gómez; Juana Canul-Reich (Computación y Sistemas (CyS), 2023)

An agglomerative hierarchical clustering approach to identify coexisting bacteria in groups of bacterial vaginosis patients. - Henry Jesús Hernández-Gómez; Juana Canul-Reich; Betania Hernández-Ocaña; Erick De-La-Cruz-Hernandez (Intell. Data Anal., 2023)

Identification of Dating Violence with Machine Learning Algorithms: Analysis and Results. - Mariana-Carolyn Cruz-Mendoza; Juana Canul-Reich; Roberto Ángel Meléndez Armenta; Carolina Malvaez-Hernández (IBERAMIA, 2024)

Explainable AI Through Decision Trees for Black-Box Models Used to Support Bacterial Vaginosis Diagnosis. - Rafael Rivera-López; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Héctor Gibrán Ceballos-Cancino; Efrén Mezura-Montes; Marco Antonio Cruz-Chávez (MICAI (Workshops 2), 2024)

Explainable Diagnosis of Bacterial Vaginosis: A Hierarchical Approach Based on XAI. - Fidencio Alarcón-López; Krissel Ofelia Pesqueira-Ramzahuer; Rafael Rivera-López; Noemi del Carmen Tenorio-Prieto; Erick De-La-Cruz-Hernandez; Juana Canul-Reich (MCPR, 2025)

Machine Learning Applied to Improve Prevention of, Response to, and Understanding of Violence Against Women. - Mariana-Carolyn Cruz-Mendoza; Roberto Ángel Meléndez Armenta; Juana Canul-Reich; Julio Muñoz Benítez (Informatics, 2025)