Reasoning about Linear Circuits: A Model-Based Approach. - Juan J. Flores; Arthur M. Farley (AI Commun., 1999)

Complex fans: a representation for vectors in polar form with interval attributes. - Juan J. Flores (ACM Trans. Math. Softw., 1999)

Efficient Modeling of Linear Circuits to Perform Qualitative Reasoning Tasks. - Juan J. Flores; J. Cerda (AI Commun., 2000)

Qualitative Systems Identification for Linear Time Invariant Dynamic Systems. - Juan J. Flores; Nelio Pastor (MICAI, 2002)

Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand. - J. Jesús Rico-Melgoza; Juan J. Flores; Constantino Sotomane; Félix Calderón (MICAI, 2004)

System Identification Using Genetic Programming and Gene Expression Programming. - Juan J. Flores; Mario Graff (ISCIS, 2005)

Time-Invariant Dynamic Systems identification based on the qualitative features of the response. - Juan J. Flores; Nelio Pastor (Eng. Appl. Artif. Intell., 2005)

GA-SSD-ARC-NLM for Parametric Image Registration. - Félix Calderón; Leonardo Romero; Juan J. Flores (CIARP, 2006)

Identification of slowly time-varying systems based on the qualitative features of transient response a frozen-time approach. - Nelio Pastor; Juan J. Flores; Claudio R. Fuerte-Esquivel; Félix Calderón (ICINCO-SPSMC, 2006)

Qualitative Reasoning and Bifurcations in Dynamic Systems. - Juan J. Flores; Andrzej Proskurowski (MICAI, 2006)

Multimodal Optimization by Decomposition of the Search Space in Regions. - Juan J. Flores; Julio Barrera; Félix Calderón (ISDA, 2007)

A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach. - Ramiro Serrato Paniagua; Juan J. Flores; Carlos A. Coello Coello (MICAI, 2007)

Plotting of Complete Bifurcation Diagrams Using a Dynamic Environment Particle Swarm Optimization Algorithm. - Julio Barrera; Juan J. Flores; Claudio R. Fuerte-Esquivel (IC-AI, 2008)

A Constraint-Handling Genetic Algorithm to Power Economic Dispatch. - Félix Calderón; Claudio R. Fuerte-Esquivel; Juan J. Flores; Juan C. Silva (MICAI, 2008)

Solving a School Timetabling Problem Using a Bee Algorithm. - Carlos Lara 001; Juan J. Flores; Félix Calderón (MICAI, 2008)

A Simple Sample Consensus Algorithm to Find Multiple Models. - Carlos Lara-Alvarez; Leonardo Romero; Juan J. Flores; Cuauhtemoc Gomez (CIARP, 2009)

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach. - Juan J. Flores; Roberto Loaeza; Héctor Rodríguez 001; Erasmo Cadenas (MICAI, 2009)

A System for Distributed SELinux Policy Management. - Pedro Chávez Lugo; Juan Manuel Garcia Garcia; Juan J. Flores (NSS, 2009)

Solution to the Registration Problem Using Differential Evolution and SSD-ARC Function. - Félix Calderón; Juan J. Flores (MICAI (Special Sessions), 2010)

Particle Swarm Optimization with Gravitational Interactions for Multimodal and Unimodal Problems. - Juan J. Flores; Rodrigo López 001; Julio Barrera (MICAI (2), 2010)

Reducing the Search Space in Evolutive Design of ARIMA and ANN Models for Time Series Prediction. - Juan J. Flores; Héctor Rodríguez 001; Mario Graff (MICAI (2), 2010)

Gravitational Interactions Optimization. - Juan J. Flores; Rodrigo López 001; Julio Barrera (LION, 2011)

Models of Performance of Evolutionary Program Induction Algorithms Based on Indicators of Problem Difficulty. - Mario Graff; Riccardo Poli; Juan J. Flores (Evol. Comput., 2013)

Performance Comparison of Repair Heuristics for the Circle Packing Problem. - Juan J. Flores; Jose Martinez Pena; Félix Calderón (MICAI (Special Sessions), 2014)

Performance Classification of Genetic Algorithms on Continuous Optimization Problems. - Noel E. Rodríguez-Maya; Mario Graff; Juan J. Flores (MICAI (2), 2014)

Solving a Scholar Timetabling Problem Using a Genetic Algorithm - Study Case: Instituto Tecnologico De Zitacuaro. - Noel E. Rodríguez-Maya; José Martínez-Carranza; Juan J. Flores; Mario Graff (MICAI (Special Sessions), 2014)

k-Nearest-Neighbor by Differential Evolution for Time Series Forecasting. - Erick De La Vega; Juan J. Flores; Mario Graff (MICAI (2), 2014)

Qualitative bifurcation diagrams. - Héctor Rodríguez 001; Arthur M. Farley; Juan J. Flores; Andrzej Proskurowski (Expert Syst. J. Knowl. Eng., 2014)

Network anomaly detection by continuous hidden markov models: An evolutionary programming approach. - Juan J. Flores; Félix Calderón; Anastacio Antolino; Juan M. Garcia (Intell. Data Anal., 2015)

Detecting the Boundary of Sensor Networks from Limited Cyclic Information. - Carlos Lara-Alvarez; Juan J. Flores; Chieh-Chih Wang (Int. J. Distributed Sens. Networks, 2015)

Semantic Crossover Operator for GP based on the Second Partial Derivative of the Error Function. - Ranyart Rodrigo Suárez; Mario Graff; Juan J. Flores (Res. Comput. Sci., 2015)

Flow meter data validation and reconstruction using neural networks: Application to the Barcelona water network. - Héctor Rodríguez 001; Vicenç Puig; Juan J. Flores; Rodrigo López 001 (ECC, 2016)

Limiting the Velocity in the Particle Swarm Optimization Algorithm. - Julio Barrera; Osiris Álvarez Bajo; Juan J. Flores; Carlos A. Coello Coello (Computación y Sistemas, 2016)

Performance Comparison of Evolutionary Algorithms for University Course Timetabling Problem. - Noel E. Rodríguez-Maya; Juan J. Flores; Héctor Rodríguez 001 (Computación y Sistemas, 2016)

A Fuzzy Control System for Improving Learning. - Carlos Lara-Alvarez; Oyuki Fuentes; Hugo A. Mitre-Hernández; Juan J. Flores; Luis Lopez (Res. Comput. Sci., 2016)

Evolutionary computation solutions to the circle packing problem. - Juan J. Flores; Jose Martínez; Félix Calderón (Soft Comput., 2016)

Pronóstico a corto plazo de velocidad del viento a partir de datos incompletos. - Héctor Rodríguez Rangel; Noel A. Garcia Carrillo; Juan J. Flores; Luis Alberto Morales-Rosales; Giovanni Manjarrez Montelongo (Res. Comput. Sci., 2017)

Implementación de kNN sobre un GPU para predicción de la velocidad del viento. - Héctor Rodríguez Rangel; Glenn Della Rocca; Juan J. Flores; Luis Alberto Morales-Rosales; Nora E. Cancela García (Res. Comput. Sci., 2018)

Multi-focus image fusion by local optimization over sliding windows. - Adan Garnica-Carrillo; Félix Calderón; Juan J. Flores (Signal Image Video Process., 2018)

Pronóstico de la velocidad del viento mediante técnicas de Inteligencia Artificial. - Juan Ramón V. Barraza; Héctor Rodríguez Rangel; Víctor González-Huitrón; Carlos A. Lara-Alvarez; Juan J. Flores (Res. Comput. Sci., 2019)

Optimización Distribuida de Redes Convolucionales para la Clasificación de Imágenes. - Emmanuel F. Ramírez Hernández; Héctor Rodríguez Rangel; Víctor González-Huitrón; Juan J. Flores; Vicenç Puig (Res. Comput. Sci., 2019)

Evolving nearest neighbor time series forecasters. - Juan J. Flores; José R. Cedeño González; Rodrigo López-Farías; Félix Calderón (Soft Comput., 2019)

Forecasting from incomplete and chaotic wind speed data. - Héctor Rodríguez Rangel; Juan J. Flores; Luis Alberto Morales-Rosales; Carlos Lara 001; Armando Guerra; Giovanni Manjarrez Montelongo (Soft Comput., 2019)

Evaluation of Breast Cancer by Infrared Thermography. - Antony Morales Cervantes; Eleazar Samuel Kolosovas-Machuca; Edgar Guevara; Francisco Javier González; Juan J. Flores (Res. Comput. Sci., 2020)

Multi-focus image fusion for multiple images using adaptable size windows and parallel programming. - Adan Garnica-Carrillo; Félix Calderón; Juan J. Flores (Signal Image Video Process., 2020)

Pronóstico de series de tiempo de imágenes de sequías utilizando autocodificadores y redes neuronales. - Manuel Medrano; Juan J. Flores; Héctor Rodríguez 001; Rodrigo López 001; Carlos Lara 001 (Res. Comput. Sci., 2021)

Induction of Emotional States in Educational Video Games Through a Fuzzy Control System. - Carlos Lara-Alvarez; Hugo A. Mitre-Hernández; Juan J. Flores; Humberto Pérez Espinosa (IEEE Trans. Affect. Comput., 2021)

Estimación de mapas de sequías de EU mediante redes de Convolución-LSTM. - Manuel Medrano; Héctor Rodríguez 001; Rodrigo López-Farías; Juan J. Flores; Carlos Lara 001; Vicenç Puig (Res. Comput. Sci., 2023)

Fast training of a transformer for global multi-horizon time series forecasting on tensor processing units. - J.-Luis García-Nava; Juan J. Flores; Victor M. Tellez; Félix Calderón (J. Supercomput., 2023)

A literature review on satellite image time series forecasting: Methods and applications for remote sensing. - Carlos Lara-Alvarez; Juan J. Flores; Héctor Rodríguez Rangel; Rodrigo López-Farías (WIREs Data. Mining. Knowl. Discov., 2024)

Models to classify the difficulty of genetic algorithms to solve continuous optimization problems. - Noel E. Rodríguez-Maya; Juan J. Flores; Sébastien Vérel; Mario Graff (Nat. Comput., 2024)

A deep learning approach for image time series forecasting: Study case, United States drought monitor. - Manuel Medrano-Diaz; Héctor Rodríguez Rangel; Vicenç Puig Cayuela; Juan J. Flores; Rodrigo López-Farías; Carlos Lara-Alvarez (Eng. Appl. Artif. Intell., 2025)