Web Exploitation for Definition Extraction. - Gerardo Sierra; Rodrigo Alarcón; Alejandro Molina-Villegas; Edwin Aldana (LA-WEB/CLIHC, 2009)

Finding Irregularly Shaped Clusters Based on Entropy. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla (ICDM, 2010)

The Best Genetic Algorithm I - A Comparative Study of Structurally Different Genetic Algorithms. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla (MICAI (2), 2013)

The Best Genetic Algorithm II - A Comparative Study of Structurally Different Genetic Algorithms. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla; Ignacio Lopez-Peña (MICAI (2), 2013)

Finding the Optimal Sample Based on Shannon's Entropy and Genetic Algorithms. - Edwin Aldana-Bobadilla; Carlos Alfaro-Pérez (MICAI (1), 2015)

A Clustering Method Based on the Maximum Entropy Principle. - Edwin Aldana-Bobadilla; Ángel Fernando Kuri Morales (Entropy, 2015)

Método de clustering basado en el principio de máxima entropia - Edwin Aldana-Bobadilla (2015)

A Method for Analyzing High-dimensional Datasets[A first approach]. - Edwin Aldana-Bobadilla (ISW-LOD@IBERAMIA, 2016)

A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets. - Edwin Aldana-Bobadilla; Alejandro Molina-Villegas (ICDM, 2016)

A novel data reduction method based on information theory and the Eclectic Genetic Algorithm. - Edwin Aldana-Bobadilla; Ivan López-Arévalo; Alejandro Molina-Villegas (Intell. Data Anal., 2017)

From Open Information Extraction to Semantic Web: A Context Rule-Based Strategy. - Julio Noe Hernandez; Ivan López-Arévalo; José-Lázaro Martínez-Rodríguez; Edwyn Aldana-Bobadilla (MIKE, 2018)

A Generalized Clustering Method Based on Validity Indices and Membership Functions. - Edwin Aldana-Bobadilla; Ivan López-Arévalo; Hiram Galeana-Zapién; Melesio Crespo-Sanchez (IEEE Access, 2018)

Georeference Assignment of Locations based on Context. - Shanel Reyes-Palacios; Edwin Aldana-Bobadilla; Ivan López-Arévalo; Alejandro Molina-Villegas (iGISc, 2019)

Extraction of RDF Statements from Text. - José-Lázaro Martínez-Rodríguez; Ivan López-Arévalo; Ana B. Ríos-Alvarado; Julio Noe Hernandez; Edwin Aldana-Bobadilla (KGSWC, 2019)

Extracción automática de referencias geoespaciales en discurso libre usando técnicas de procesamiento de lenguaje natural y teoría de la accesibilidad. - Alejandro Molina-Villegas; Oscar S. Siordia; Edwin Aldana-Bobadilla; César Aguilar Aguilar; Olga Acosta (Proces. del Leng. Natural, 2019)

An unsupervised learning approach for multilayer perceptron networks - Learning driven by validity indices. - Edwin Aldana-Bobadilla; Angel Kuri-Morales; Ivan López-Arévalo; Ana B. Ríos-Alvarado (Soft Comput., 2019)

A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning. - Ivan López-Arévalo; Edwin Aldana-Bobadilla; Alejandro Molina-Villegas; Hiram Galeana-Zapién; Victor Muñiz-Sanchez; Saul Gausin-Valle (Entropy, 2020)

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text. - Edwin Aldana-Bobadilla; Alejandro Molina-Villegas; Ivan López-Arévalo; Shanel Reyes-Palacios; Victor Muñiz-Sanchez; Jean Arreola-Trapala (Remote. Sens., 2020)

Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited Conditions. - Edgar A. Esquivel-Mendiola; Hiram Galeana-Zapién; David Covarrubias; Edwin Aldana-Bobadilla (Sensors, 2020)

FEEL: Framework for the integration of Entity Extraction and Linking systems. - Julio Noe Hernandez; José-Lázaro Martínez-Rodríguez; Ivan López-Arévalo; Ana B. Ríos-Alvarado; Edwin Aldana-Bobadilla (J. Web Semant., 2020)

A content spectral-based analysis for authorship verification. - Melesio Crespo-Sanchez; Helena Gómez-Adorno; Ivan López-Arévalo; Edwin Aldana-Bobadilla; Karla Salas-Jimenez; Jorge Cortes-Lopez (CLEF (Working Notes), 2022)

Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering. - Aarón Leonardo Sánchez-Martínez; Mario Garza-Fabre; Ricardo Landa Becerra; Edwin Aldana-Bobadilla (MICAI (1), 2022)

Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge. - Mario Garza-Fabre; Aarón Leonardo Sánchez-Martínez; Edwin Aldana-Bobadilla; Ricardo Landa Becerra (IEEE Access, 2022)

A content spectral-based text representation. - Melesio Crespo-Sanchez; Ivan López-Arévalo; Edwin Aldana-Bobadilla; Alejandro Molina-Villegas (J. Intell. Fuzzy Syst., 2022)

Understanding the Limits of Average Aggregation in Federated Learning Scenarios. - Sergio Pérez-Picazo; Hiram Galeana-Zapién; Edwyn Aldana-Bobadilla (Res. Comput. Sci., 2023)

Machine learning based study for the classification of Type 2 diabetes mellitus subtypes. - Nelson E. Ordóñez-Guillén; José Luis González Compeán; Ivan López-Arévalo; Miguel Contreras-Murillo; Edwin Aldana-Bobadilla (BioData Min., 2023)

An Eclectic Approach for Enhancing Language Models Through Rich Embedding Features. - Edwin Aldana-Bobadilla; Víctor Jesús Sosa Sosa; Alejandro Molina-Villegas; Karina Gazca-Hernandez; José Angel Olivas (IEEE Access, 2024)

A flexible framework for coding and predicting acute hypotensive episodes using Markov chains. - Hiram Galeana-Zapién; Edwin Aldana-Bobadilla; Jaime Arciniegas-García; Jordy Vargas-Gómez; José Villalobos-Silva (Knowl. Based Syst., 2024)

Spectrep: A software for spectral representation of text content. - Melesio Crespo-Sanchez; Ivan López-Arévalo; Edwin Aldana-Bobadilla; Helena Gómez-Adorno; José Luis González Compeán (SoftwareX, 2024)