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ORCIDHector G. Ceballos
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2020 – today
- 2024
[j21]Alma Mena-Martinez
, Juan Manuel Davila Delgado, Joanna Alvarado-Uribe, Hector G. Ceballos:
A Real-Life Evaluation of Supervised and Semi-Supervised Machine Learning Approaches for Indirect Estimation of Indoor Occupancy. IEEE Access 12: 118673-118693 (2024)- [j20]Rafael Rivera-López, Hector G. Ceballos:
A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data. IEEE Access 12: 169850-169868 (2024) - [j19]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): 1794-1805 (2024) - [j18]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, Alexander F. Gelbukh, Salud María Jiménez-Zafra:
Overview of HOPE at IberLEF 2024: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations. Proces. del Leng. Natural 73: 407-419 (2024) - [j17]Isabel Hilliger, Hector G. Ceballos, Jorge Maldonado-Mahauad, Rafael Ferreira:
Applications of Learning Analytics in Latin America. J. Learn. Anal. 11(1): 1-5 (2024) - [j16]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): 37-48 (2024) - [j15]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): 49-66 (2024) - [c21]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: 213-225 - [c20]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: 6972-6987 - [i1]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 abs/2404.05365 (2024) - 2023
- [j14]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): 12169-12189 (2023) - [j13]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): 27 (2023) - [c19]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: 254-270 - 2022
- [j12]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): 119 (2022) - [j11]Victor Lopez-Rodriguez, Hector G. Ceballos:
Modeling scientometric indicators using a statistical data ontology. J. Big Data 9(1): 9 (2022) - [j10]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): 11 (2022) - [j9]Alma Rosa Mena, Hector G. Ceballos, Joanna Alvarado-Uribe:
Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment. Sensors 22(10): 3770 (2022) - [c18]Victor Lopez-Rodriguez, Hector G. Ceballos:
Retrieval-based Statistical Chatbot in a Scientometric Domain. MICAI (2) 2022: 303-315 - 2021
- [j8]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: 134192-134207 (2021) - [j7]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): 35 (2021) - [j6]Andree Vela, Joanna Alvarado-Uribe, Hector G. Ceballos:
Indoor Environment Dataset to Estimate Room Occupancy. Data 6(12): 133 (2021) - [c17]Benjamin Mario Sainz-Tinajero, Andrés Eduardo Gutiérrez-Rodríguez, Hector G. Ceballos, Francisco J. Cantú Ortiz:
Evolutionary Clustering Algorithm Using Supervised Classifiers. CEC 2021: 2039-2045 - [c16]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: 422-435 - 2020
- [j5]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: 128068-128095 (2020) - [j4]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): 6579 (2020)
2010 – 2019
- 2018
- [j3]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): 181-216 (2018) - [c15]Hector G. Ceballos, Francisco J. Cantu:
Discovering Causal Relations in Semantically-Annotated Probabilistic Business Process Diagrams. GCAI 2018: 29-40 - 2016
- [c14]Hector G. Ceballos:
Refining Semantically Annotated Business Process Diagrams. ISW-LOD@IBERAMIA 2016: 11-21 - 2015
- [c13]Hector G. Ceballos, Victor Flores-Solorio, Juan-Pablo García-Vázquez:
A Probabilistic BPMN Normal Form to Model and Advise Human Activities. EMAS@AAMAS 2015: 51-69 - [c12]Hector G. Ceballos, Victor Flores-Solorio, Juan-Pablo García-Vázquez:
Towards Probabilistic Decision Making on Human Activities modeled with Business Process Diagrams. AAMAS 2015: 1651-1652 - 2014
- [c11]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: 357-364 - [c10]Pablo N. Mazzucchi-Augel, Hector G. Ceballos:
An Alignment Comparator for Entity Resolution with Multi-valued Attributes. MICAI (2) 2014: 272-284 - 2013
- [c9]Gustavo A. Parada, Hector G. Ceballos, Francisco J. Cantu, Lucia Rodriguez-Aceves:
Recommending intra-institutional scientific collaboration through coauthorship network visualization. CompSci@CIKM 2013: 7-12 - [c8]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: 185-198 - 2011
- [c7]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 - 2010
- [j2]Francisco J. Cantú Ortiz, Hector G. Ceballos:
A multiagent knowledge and information network approach for managing research assets. Expert Syst. Appl. 37(7): 5272-5284 (2010) - [c6]Hector G. Ceballos, Pablo Noriega, Francisco J. Cantu:
Requesting agent participation in electronic institutions. AAMAS 2010: 1375-1376
2000 – 2009
- 2007
- [c5]Hector G. Ceballos, Francisco J. Cantú Ortiz:
Integrating Semantic Annotations in Bayesian Causal Models. Description Logics 2007 - 2005
- [j1]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): 5-12 (2005) - [c4]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: 29 - [c3]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: 357 - 2004
- [c2]Hector G. Ceballos, Ramón F. Brena:
Finding Compromises Between Local and Global Ontology Querying in Multiagent Systems. CoopIS/DOA/ODBASE (2) 2004: 999-1011 - [c1]Ramón F. Brena, Hector G. Ceballos:
Combining Global and Local Ontology handling in a Multiagent System. FLAIRS 2004: 418-423
Coauthor Index
aka: Francisco J. Cantu
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