Building an automaton for condition monitoring in a biotechnological process. - Julio Waissman Vilanova; Ramon Sarrate-Estruch; J. Aguilar-Martín; Boutaib Dahhou (ECC, 1999)

Process Monitoring Using Residuals and Fuzzy Classification with Learning Capabilities. - Joseph Aguilar-Martin; Claudia Isaza; Eduard Diez-Lledo; Marie-Véronique Le Lann; Julio Waissman Vilanova (IFSA (2), 2007)

Reinforcement Learning in Continuous Systems: Wavelet Networks Approach. - Iván S. Razo-Zapata; Julio Waissman Vilanova; Luis Enrique Ramos-Velasco (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

Learning the Filling Policy of a Biodegradation Process by Fuzzy Actor-Critic Learning Methodology. - Efraín Franco Flores; Julio Waissman Vilanova; Jair García Lamont (MICAI, 2008)

Type-2 Neuro-Fuzzy Modeling for a Batch Biotechnological Process. - Pablo Hernández Torres; María Angélica Espejel Rivera; Luis Enrique Ramos-Velasco; Julio César Ramos Fernández; Julio Waissman Vilanova (MICAI (2), 2011)

Yager-Rybalov Triple Π Operator as a Means of Reducing the Number of Generated Clusters in Unsupervised Anuran Vocalization Recognition. - Carol Bedoya; Julio Waissman Vilanova; Claudia Victoria Isaza Narvaez (MICAI (2), 2014)

Análisis con aprendizaje automático en el proceso de flotación de burbujas para la obtención de minerales. - Nelsón Romero-García; Sonia Regina Meneses; Julio Waissman Vilanova; Oscar M. Rodríguez-Elias; César Enrique Rose Gómez; Álvaro Rendón Montoya (Res. Comput. Sci., 2020)

Shrimp Shape Analysis by a Chord Length Function Based Methodology. - Fernando Joaquín Ramírez-Coronel; Oscar M. Rodríguez-Elias; Madaín Pérez Patricio; Edgard Esquer-Miranda; Julio Waissman Vilanova; Mario I. Chacon Murguia; Omar Hernandez-Gonzalez (RTIP2R, 2022)

An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach. - María Elena Martínez-Manzanares; Jordan Joel Urias-Paramo; Julio Waissman Vilanova; Gudelia Figueroa-Preciado (Appl. Artif. Intell., 2024)