Hector G. Ceballos

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Systematic Review

Machine Learning

Evolutionary Clustering

Top Venues

J. Learn. Anal.

Publications

Atnafu Lambebo Tonja, Fazlourrahman Balouchzahi, Sabur Butt, Olga Kolesnikova, Hector G. Ceballos, Alexander F. Gelbukh, Thamar Solorio
NLP Progress in Indigenous Latin American Languages. NAACL-HLT (2024)
Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú Ortiz, Hector G. Ceballos
Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models. Cogn. Comput. 16 (4) (2024)
Isabel Hilliger, Hector G. Ceballos, Jorge Maldonado-Mahauad, Rafael Ferreira
Applications of Learning Analytics in Latin America. J. Learn. Anal. 11 (1) (2024)
Juan Andrés Talamás-Carvajal, Hector G. Ceballos, María Soledad Ramírez-Montoya
Identification of Complex Thinking Related Competencies: The Building Blocks of Reasoning for Complexity. J. Learn. Anal. 11 (1) (2024)
Alma Mena-Martinez, Joanna Alvarado-Uribe, Juan Manuel Davila Delgado, Hector G. Ceballos
Methodology to Monitor and Estimate Occupancy in Enclosed Spaces Based on Indirect Methods and Artificial Intelligence: A University Classroom as a Case Study. IMIS (2024)
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
Perspectives and Opportunities for Learning Analytics Integration: A Qualitative Study in Mexican Universities. J. Learn. Anal. 11 (1) (2024)
Atnafu Lambebo Tonja, Fazlourrahman Balouchzahi, Sabur Butt, Olga Kolesnikova, Hector G. Ceballos, Alexander F. Gelbukh, Thamar Solorio
NLP Progress in Indigenous Latin American Languages. CoRR (2024)
María Soledad Ramírez-Montoya, Hector G. Ceballos, Sandra Martínez-Pérez, Luis M. Romero-Rodriguez
Impact of Teaching Workload on Scientific Productivity: Multidimensional Analysis in the Complexity of a Mexican Private University. Publ. 11 (2) (2023)
Juan Andrés Talamás-Carvajal, Hector G. Ceballos
A stacking ensemble machine learning method for early identification of students at risk of dropout. Educ. Inf. Technol. 28 (9) (2023)
Sabur Butt, Paola Mejía-Almada, Joanna Alvarado-Uribe, Hector G. Ceballos, Grigori Sidorov, Alexander F. Gelbukh
MF-SET: A Multitask Learning Framework for Student Evaluation of Teaching. FTC (1) (2023)
Alma Rosa Mena, Hector G. Ceballos, Joanna Alvarado-Uribe
Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment. Sensors 22 (10) (2022)
Victor Lopez-Rodriguez, Hector G. Ceballos
Retrieval-based Statistical Chatbot in a Scientometric Domain. MICAI (2) (2022)
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
Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education. Data 7 (9) (2022)
Victor Lopez-Rodriguez, Hector G. Ceballos
Modeling scientometric indicators using a statistical data ontology. J. Big Data 9 (1) (2022)
Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernández-Gress, Jose Luis Preciado, Hector G. Ceballos
Supervised machine learning predictive analytics for alumni income. J. Big Data 9 (1) (2022)
Gilberto Ayala-Bastidas, Hector G. Ceballos, Francisco J. Cantú Ortiz
A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques. Comput. 10 (3) (2021)
Andree Vela, Joanna Alvarado-Uribe, Hector G. Ceballos
Indoor Environment Dataset to Estimate Room Occupancy. Data 6 (12) (2021)
Benjamin Mario Sainz-Tinajero, Andrés Eduardo Gutiérrez-Rodríguez, Hector G. Ceballos, Francisco J. Cantú Ortiz
F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers. IEEE Access 9 (2021)
Clarissa Miranda-Peña, Hector G. Ceballos, Laura Hervert-Escobar, Miguel González-Mendoza
Predicting Soccer Results Through Sentiment Analysis: A Graph Theory Approach. ICCS (6) (2021)
Benjamin Mario Sainz-Tinajero, Andrés Eduardo Gutiérrez-Rodríguez, Hector G. Ceballos, Francisco J. Cantú Ortiz
Evolutionary Clustering Algorithm Using Supervised Classifiers. CEC (2021)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Iván Amaya
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. IEEE Access 8 (2020)
Andree Vela, Joanna Alvarado-Uribe, Juan Manuel Davila Delgado, Neil Hernández-Gress, Hector G. Ceballos
Estimating Occupancy Levels in Enclosed Spaces Using Environmental Variables: A Fitness Gym and Living Room as Evaluation Scenarios. Sensors 20 (22) (2020)
Hector G. Ceballos, Sara Elena Garza Villarreal, Francisco J. Cantu
Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks. Scientometrics 114 (1) (2018)
Hector G. Ceballos, Francisco J. Cantu
Discovering Causal Relations in Semantically-Annotated Probabilistic Business Process Diagrams. GCAI (2018)
Hector G. Ceballos
Refining Semantically Annotated Business Process Diagrams. ISW-LOD@IBERAMIA (2016)
Hector G. Ceballos, Victor Flores-Solorio, Juan-Pablo García-Vázquez
A Probabilistic BPMN Normal Form to Model and Advise Human Activities. EMAS@AAMAS (2015)
Hector G. Ceballos, Victor Flores-Solorio, Juan-Pablo García-Vázquez
Towards Probabilistic Decision Making on Human Activities modeled with Business Process Diagrams. AAMAS (2015)
Alejandra Casas-Bayona, Hector G. Ceballos
Integrating Semi-structured Information using Semantic Technologies - An Evaluation of Tools and a Case Study on University Rankings Data. DATA (2014)
Pablo N. Mazzucchi-Augel, Hector G. Ceballos
An Alignment Comparator for Entity Resolution with Multi-valued Attributes. MICAI (2) (2014)
Gustavo A. Parada, Hector G. Ceballos, Francisco J. Cantu, Lucia Rodriguez-Aceves
Recommending intra-institutional scientific collaboration through coauthorship network visualization. CompSci@CIKM (2013)
Hector G. Ceballos, Juan-Pablo García-Vázquez, Ramón F. Brena
Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities. MICAI (1) (2013)
Manuel Rodriguez-Mancha, Hector G. Ceballos, Francisco J. Cantu, Aldo Diaz-Prado
Mapping relational databases through ontology matching: a case study on information migration. OM (2011)
Hector G. Ceballos, Pablo Noriega, Francisco J. Cantu
Requesting agent participation in electronic institutions. AAMAS (2010)
Francisco J. Cantú Ortiz, Hector G. Ceballos
A multiagent knowledge and information network approach for managing research assets. Expert Syst. Appl. 37 (7) (2010)
Hector G. Ceballos, Francisco J. Cantú Ortiz
Integrating Semantic Annotations in Bayesian Causal Models. Description Logics (2007)
Ramón F. Brena, Hector G. Ceballos
Combining Local and Global Access to Ontologies in a Multiagent System. J. Adv. Comput. Intell. Intell. Informatics 9 (1) (2005)
Francisco J. Cantu, Hector G. Ceballos, Silvia P. Mora, Miguel A. Escoffie
A Knowledge Based Information System for Managing Research Programs and Value Creation in a University Environment. AMCIS (2005)
Francisco J. Cantu, Silvia P. Mora, Aldo Diaz-Prado, Hector G. Ceballos, Sergio O. Martinez, Daniel R. Jimenez
A Knowledge-Based Entrepreneurial Approach for Business Intelligence in Strategic Technologies: Bio-Mems. AMCIS (2005)
Hector G. Ceballos, Ramón F. Brena
Finding Compromises Between Local and Global Ontology Querying in Multiagent Systems. CoopIS/DOA/ODBASE (2) (2004)
Ramón F. Brena, Hector G. Ceballos
Combining Global and Local Ontology handling in a Multiagent System. FLAIRS Conference (2004)