Finding Compromises Between Local and Global Ontology Querying in Multiagent Systems. - Hector G. Ceballos; Ramón F. Brena (CoopIS/DOA/ODBASE (2), 2004)

Combining Global and Local Ontology handling in a Multiagent System. - Ramón F. Brena; Hector G. Ceballos (FLAIRS, 2004)

A Knowledge Based Information System for Managing Research Programs and Value Creation in a University Environment. - Francisco J. Cantu; Hector G. Ceballos; Silvia P. Mora; Miguel A. Escoffie (AMCIS, 2005)

A Knowledge-Based Entrepreneurial Approach for Business Intelligence in Strategic Technologies: Bio-Mems. - Francisco J. Cantu; Silvia P. Mora; Aldo Diaz-Prado; Hector G. Ceballos; Sergio O. Martinez; Daniel R. Jimenez (AMCIS, 2005)

Combining Local and Global Access to Ontologies in a Multiagent System. - Ramón F. Brena; Hector G. Ceballos (J. Adv. Comput. Intell. Intell. Informatics, 2005)

Integrating Semantic Annotations in Bayesian Causal Models. - Hector G. Ceballos; Francisco J. Cantú Ortiz (Description Logics, 2007)

Requesting agent participation in electronic institutions. - Hector G. Ceballos; Pablo Noriega; Francisco J. Cantu (AAMAS, 2010)

A multiagent knowledge and information network approach for managing research assets. - Francisco J. Cantú Ortiz; Hector G. Ceballos (Expert Syst. Appl., 2010)

Mapping relational databases through ontology matching: a case study on information migration. - Manuel Rodriguez-Mancha; Hector G. Ceballos; Francisco J. Cantu; Aldo Diaz-Prado (OM, 2011)

Recommending intra-institutional scientific collaboration through coauthorship network visualization. - Gustavo A. Parada; Hector G. Ceballos; Francisco J. Cantu; Lucia Rodriguez-Aceves (CompSci@CIKM, 2013)

Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities. - Hector G. Ceballos; Juan-Pablo García-Vázquez; Ramón F. Brena (MICAI (1), 2013)

Integrating Semi-structured Information using Semantic Technologies - An Evaluation of Tools and a Case Study on University Rankings Data. - Alejandra Casas-Bayona; Hector G. Ceballos (DATA, 2014)

An Alignment Comparator for Entity Resolution with Multi-valued Attributes. - Pablo N. Mazzucchi-Augel; Hector G. Ceballos (MICAI (2), 2014)

Towards Probabilistic Decision Making on Human Activities modeled with Business Process Diagrams. - Hector G. Ceballos; Victor Flores-Solorio; Juan-Pablo García-Vázquez (AAMAS, 2015)

A Probabilistic BPMN Normal Form to Model and Advise Human Activities. - Hector G. Ceballos; Victor Flores-Solorio; Juan-Pablo García-Vázquez (EMAS@AAMAS, 2015)

Refining Semantically Annotated Business Process Diagrams. - Hector G. Ceballos (ISW-LOD@IBERAMIA, 2016)

Discovering Causal Relations in Semantically-Annotated Probabilistic Business Process Diagrams. - Hector G. Ceballos; Francisco J. Cantu (GCAI, 2018)

Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks. - Hector G. Ceballos; Sara Elena Garza Villarreal; Francisco J. Cantu (Scientometrics, 2018)

A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. - Melissa Sánchez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Hector G. Ceballos; Hugo Terashima-Marín; Iván Amaya (IEEE Access, 2020)

Estimating Occupancy Levels in Enclosed Spaces Using Environmental Variables: A Fitness Gym and Living Room as Evaluation Scenarios. - Andree Vela; Joanna Alvarado-Uribe; Juan Manuel Davila Delgado; Neil Hernández-Gress; Hector G. Ceballos (Sensors, 2020)

Evolutionary Clustering Algorithm Using Supervised Classifiers. - Benjamin Mario Sainz-Tinajero; Andrés Eduardo Gutiérrez-Rodríguez; Hector G. Ceballos; Francisco J. Cantú Ortiz (CEC, 2021)

Predicting Soccer Results Through Sentiment Analysis: A Graph Theory Approach. - Clarissa Miranda-Peña; Hector G. Ceballos; Laura Hervert-Escobar; Miguel González-Mendoza 001 (ICCS (6), 2021)

F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers. - Benjamin Mario Sainz-Tinajero; Andrés Eduardo Gutiérrez-Rodríguez; Hector G. Ceballos; Francisco J. Cantú Ortiz (IEEE Access, 2021)

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques. - Gilberto Ayala-Bastidas; Hector G. Ceballos; Francisco J. Cantú Ortiz (Comput., 2021)

Indoor Environment Dataset to Estimate Room Occupancy. - Andree Vela; Joanna Alvarado-Uribe; Hector G. Ceballos (Data, 2021)

Retrieval-based Statistical Chatbot in a Scientometric Domain. - Victor Lopez-Rodriguez; Hector G. Ceballos (MICAI (2), 2022)

Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education. - Joanna Alvarado-Uribe; Paola Mejía-Almada; Ana Luisa Masetto Herrera; Roland Molontay; Isabel Hilliger; Vinayak Hegde; José Enrique Montemayor Gallegos; Renato Armando Ramírez Díaz; Hector G. Ceballos (Data, 2022)

Supervised machine learning predictive analytics for alumni income. - Daniela A. Gomez-Cravioto; Ramon E. Diaz-Ramos; Neil Hernández-Gress; Jose Luis Preciado; Hector G. Ceballos (J. Big Data, 2022)

Modeling scientometric indicators using a statistical data ontology. - Victor Lopez-Rodriguez; Hector G. Ceballos (J. Big Data, 2022)

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment. - Alma Rosa Mena; Hector G. Ceballos; Joanna Alvarado-Uribe (Sensors, 2022)

MF-SET: A Multitask Learning Framework for Student Evaluation of Teaching. - Sabur Butt; Paola Mejía-Almada; Joanna Alvarado-Uribe; Hector G. Ceballos; Grigori Sidorov; Alexander F. Gelbukh (FTC (1), 2023)

Impact of Teaching Workload on Scientific Productivity: Multidimensional Analysis in the Complexity of a Mexican Private University. - María Soledad Ramírez-Montoya; Hector G. Ceballos; Sandra Martínez-Pérez; Luis M. Romero-Rodriguez (Publ., 2023)

A stacking ensemble machine learning method for early identification of students at risk of dropout. - Juan Andrés Talamás-Carvajal; Hector G. Ceballos (Educ. Inf. Technol., 2023)

Methodology to Monitor and Estimate Occupancy in Enclosed Spaces Based on Indirect Methods and Artificial Intelligence: A University Classroom as a Case Study. - Alma Mena-Martinez; Joanna Alvarado-Uribe; Juan Manuel Davila Delgado; Hector G. Ceballos (IMIS, 2024)

NLP Progress in Indigenous Latin American Languages. - Atnafu Lambebo Tonja; Fazlourrahman Balouchzahi; Sabur Butt; Olga Kolesnikova; Hector G. Ceballos; Alexander F. Gelbukh; Thamar Solorio (NAACL-HLT, 2024)

A Real-Life Evaluation of Supervised and Semi-Supervised Machine Learning Approaches for Indirect Estimation of Indoor Occupancy. - Alma Mena-Martinez; Juan Manuel Davila Delgado; Joanna Alvarado-Uribe; Hector G. Ceballos (IEEE Access, 2024)

A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data. - Rafael Rivera-López; Hector G. Ceballos (IEEE Access, 2024)

Overview of HOPE at IberLEF 2024: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations. - Daniel García-Baena; Fazlourrahman Balouchzahi; Sabur Butt; Miguel Ángel García Cumbreras; Atnafu Lambebo Tonja; José Antonio García-Díaz; Selen Bozkurt; Bharathi Raja Chakravarthi; Hector G. Ceballos; Rafael Valencia-García; Grigori Sidorov; Luis Alfonso Ureña López; et al. (Proces. del Leng. Natural, 2024)

Perspectives and Opportunities for Learning Analytics Integration: A Qualitative Study in Mexican Universities. - Tomás Bautista Godínez; Gerardo Castañeda Garza; Ricardo Pérez Mora; Hector G. Ceballos; Verónica Luna de la Luz; José Gerardo Moreno Salinas; Irma Rocío Zavala-Sierra; Roberto Santos-Solórzano; Carlos Iván Moreno Arellano; Melchor Sánchez-Mendiola (J. Learn. Anal., 2024)

Applications of Learning Analytics in Latin America. - Isabel Hilliger; Hector G. Ceballos; Jorge Maldonado-Mahauad; Rafael Ferreira 002 (J. Learn. Anal., 2024)

Identification of Complex Thinking Related Competencies: The Building Blocks of Reasoning for Complexity. - Juan Andrés Talamás-Carvajal; Hector G. Ceballos; María Soledad Ramírez-Montoya (J. Learn. Anal., 2024)

Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models. - Daniela A. Gomez-Cravioto; Ramon E. Diaz-Ramos; Francisco J. Cantú Ortiz; Hector G. Ceballos (Cogn. Comput., 2024)

Applying the Living Lab Methodology for Evidence-Based Educational Technologies. - Luis Fernando Morán-Mirabal; Jessica Alejandra Ruiz-Ramírez; Antonio A. González-Grez; Sergio Noé Torres-Rodríguez; Hector G. Ceballos (EDUCON, 2025)

Tec-Habilidad: Skill Classification for Bridging Education and Employment. - Sabur Butt; Hector G. Ceballos; Diana P. Madera (CoRR, 2025)

Optimism, Expectation, or Sarcasm? Multi-Class Hope Speech Detection in Spanish and English. - Sabur Butt; Fazlourrahman Balouchzahi; Ahmad Imam Amjad; Maaz Amjad; Hector G. Ceballos; Salud María Jiménez-Zafra (CoRR, 2025)