Optimized Associative Memories for Feature Selection. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Amadeo José Argüelles-Cruz (IbPRIA (1), 2007)

Thresholded Learning Matrix for Efficient Pattern Recalling. - Mario Aldape-Pérez; Israel Román-Godínez; Oscar Camacho Nieto (CIARP, 2008)

Alpha-Beta Weightless Neural Networks. - Amadeo José Argüelles-Cruz; Itzamá López-Yáñez; Mario Aldape-Pérez; Napoleón Conde-Gaxiola (CIARP, 2008)

FPGA Implementation of Parallel Alpha-Beta Associative Memories. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Amadeo José Argüelles-Cruz (ICIAR, 2008)

An associative memory approach to medical decision support systems. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Amadeo José Argüelles-Cruz (Comput. Methods Programs Biomed., 2012)

Selección de características utilizando el paradigma de memoria asociativa y computación paralela. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Ángel Ferreira-Santiago (Computación y Sistemas, 2013)

Memorias asociativas en la agricultura: un caso práctico. - Mario Aldape-Pérez; José Antonio Estrada Pavía; Omar Juárez Gambino (Res. Comput. Sci., 2014)

Evolutionary Approach to Feature Selection with Associative Models. - Ángel Ferreira-Santiago; Cornelio Yáñez-Márquez; Mario Aldape-Pérez; Itzamá López-Yáñez (Res. Comput. Sci., 2014)

Collaborative learning based on associative models: Application to pattern classification in medical datasets. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Itzamá López-Yáñez; Amadeo José Argüelles-Cruz (Comput. Hum. Behav., 2015)

Collaborative learning in postgraduate level courses. - Itzamá López-Yáñez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Mario Aldape-Pérez; Amadeo José Argüelles-Cruz (Comput. Hum. Behav., 2015)

Instance-based ontology matching for e-learning material using an associative pattern classifier. - Sergio Cerón-Figueroa; Itzamá López-Yáñez; Wadee Alhalabi; Oscar Camacho Nieto; Yenny Villuendas-Rey; Mario Aldape-Pérez; Cornelio Yáñez-Márquez (Comput. Hum. Behav., 2017)

Pattern classification using smallest normalized difference associative memory. - Rogelio Ramírez-Rubio; Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Pattern Recognit. Lett., 2017)

Adaptive Control for the Four-Bar Linkage Mechanism Based on Differential Evolution. - Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes; Mario Aldape-Pérez (CEC, 2018)

A Dynamic Optimization Approach to Adaptive Control for the Four-Bar Linkage Mechanism. - Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes; Mario Aldape-Pérez (IntelliSys (2), 2018)

Substitution box generation using Chaos: An image encryption application. - Víctor Manuel Silva García; Rolando Flores-Carapia; Carlos Rentería-Márquez; Benjamín Luna Benoso; Mario Aldape-Pérez (Appl. Math. Comput., 2018)

Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications. - Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Mario Aldape-Pérez; Oscar Camacho Nieto; Amadeo José Argüelles-Cruz; Yenny Villuendas-Rey (Neural Process. Lett., 2018)

An Associative Memory Approach to Healthcare Monitoring and Decision Making. - Mario Aldape-Pérez; Antonio Alarcón Paredes; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Sensors, 2018)

Bio-inspired adaptive control strategy for the highly efficient speed regulation of the DC motor under parametric uncertainty. - Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes; Jaime Álvarez-Gallegos; Mario Aldape-Pérez (Appl. Soft Comput., 2019)

Exponential Synchronization of Chaotic Xian System Using Linear Feedback Control. - Jose Humberto Pérez-Cruz; Pedro A. Tamayo-Meza; Maricela Figueroa; Ramón Silva-Ortigoza; Mario Ponce-Silva; Raúl Rivera Blas; Mario Aldape-Pérez (Complex., 2019)

Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm. - Elías Ventura-Molina; Antonio Alarcón Paredes; Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Gustavo Adolfo Alonso-Silverio (Intell. Data Anal., 2019)

Hand Movement Classification Using Burg Reflection Coefficients. - Daniel Ramírez-Martínez; Mariel Alfaro-Ponce; Oleksiy B. Pogrebnyak; Mario Aldape-Pérez; Amadeo José Argüelles-Cruz (Sensors, 2019)

An adaptive control study for the DC motor using meta-heuristic algorithms. - Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes; Mario Aldape-Pérez (Soft Comput., 2019)

Optimized Path-Planning in Continuous Spaces for Unmanned Aerial Vehicles Using Meta-Heuristics. - Geovanni Flores-Caballero; Alejandro Rodríguez-Molina; Mario Aldape-Pérez; Miguel Gabriel Villarreal-Cervantes (IEEE Access, 2020)

Multi-objective meta-heuristic optimization in intelligent control: A survey on the controller tuning problem. - Alejandro Rodríguez-Molina; Efrén Mezura-Montes; Miguel Gabriel Villarreal-Cervantes; Mario Aldape-Pérez (Appl. Soft Comput., 2020)

Path Planning Generator with Metadata through a Domain Change by GAN between Physical and Virtual Environments. - Javier Maldonado Romo; Mario Aldape-Pérez; Alejandro Rodríguez-Molina (Sensors, 2021)

Adaptive Controller Tuning Method Based on Online Multiobjective Optimization: A Case Study of the Four-Bar Mechanism. - Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes; Efrén Mezura-Montes; Mario Aldape-Pérez (IEEE Trans. Cybern., 2021)

Analysis of Depth and Semantic Mask for Perceiving a Physical Environment Using Virtual Samples Generated by a GAN. - Javier Maldonado Romo; Mario Aldape-Pérez; Alejandro Rodríguez-Molina (IEEE Access, 2022)

Path Generator with Unpaired Samples Employing Generative Adversarial Networks. - Javier Maldonado Romo; Alberto Maldonado-Romo; Mario Aldape-Pérez (Sensors, 2022)

Air Quality Prediction in Smart Cities Using Wireless Sensor Network and Associative Models. - Mario Aldape-Pérez; Amadeo José Argüelles-Cruz; Alejandro Rodríguez-Molina; Miguel Gabriel Villarreal-Cervantes (WITCOM, 2023)

MiniCovid-Unet: CT-Scan Lung Images Segmentation for COVID-19 Identification. - Alvaro Salazar-Urbina; Elías Ventura-Molina; Cornelio Yáñez-Márquez; Mario Aldape-Pérez; Itzamá López-Yáñez (Computación y Sistemas (CyS), 2024)

An Urban Data Analytics Approach to Explore the Relations Between Trends of Air Pollution and Crime in Mexico City. - Daniel González-Ordoñez; Edgar Armando Catalán-Salgado; Benjamin Luna-Benoso; Rene Baltazar Jimenez-Ruiz; Daniel Jiménez-Alcantar; Mario Aldape-Pérez; Abigail García-Valerio; Jasibe Benitez-Valerio (W2GIS, 2025)

Discovering Urban Insights of Air Pollution in Mexico City Using Social Networks. - Samantha Hernández-Clemente; Susana Medina-Flores; Leonel Olivares-Conchillos; Roberto Zagal-Flores; Amadeo José Argüelles-Cruz; Daniel Jiménez Alcantar; Eidan Plata Salinas; Mario Aldape-Pérez; Evelyn Velasco Zagal (W2GIS, 2025)