The Fourth International Symposium on Artificial Intelligence. - Randy Goebel; Francisco J. Cantú Ortiz (AI Mag., 1992)

Expert System Technology Transfer Strategies: Selected Cases from the United States and Mexico. - Jay Liebowitz; Francisco J. Cantú Ortiz (AI Soc., 1992)

Experiments in Automating Hardware Verification Using Inductive Proof Planning. - Francisco J. Cantu; Alan Bundy; Alan Smaill; David A. Basin (FMCAD, 1996)

Proof planning for automating hardware verification. - Francisco Javier Cantu-Ortiz (1997)

A Methodology for Multiple-Fault Diagnosis Based on the Independent Choice Logic. - Luis E. Garza 001; Francisco J. Cantú Ortiz; Salvador Acevedo (IBERAMIA-SBIA, 2000)

Multiagent-based knowledge networks. - José-Luis Aguirre; Ramón F. Brena; Francisco J. Cantu (Expert Syst. Appl., 2001)

Integration of Fault Detection and Diagnosis in a Probabilistic Logic Framework. - Luis E. Garza 001; Francisco J. Cantu; Salvador Acevedo (IBERAMIA, 2002)

Faults Diagnosis in Industrial Processes with a Hybrid Diagnostic System. - Luis E. Garza 001; Francisco J. Cantu; Salvador Acevedo (MICAI, 2002)

Biometrics and Data Mining: Comparison of Data Mining-Based Keystroke Dynamics Methods for Identity Verification. - Francisco J. Gutiérrez; Margarita M. Lerma-Rascón; Luis R. Salgado-Garza; Francisco J. Cantu (MICAI, 2002)

AI's Geographic Outreach: Mexico and Latin America. - Francisco J. Cantú Ortiz (IEEE Intell. Syst., 2003)

Preface. - Matías Alvarado 001; Leonid Cheremetov; Francisco J. Cantu (Expert Syst. Appl., 2004)

Autonomous agents and computational intelligence: the future of AI application for petroleum industry. - Matías Alvarado 001; Leonid Cheremetov; Francisco J. Cantu (Expert Syst. Appl., 2004)

Learning Bayesian Network Structures from Small Datasets using Simulated Annealing and Bayesian Score. - Miguel A. Carrillo; Francisco J. Cantú Ortiz; Rubén Morales-Menéndez; Luis E. Garza-Castañón (Artificial Intelligence and Applications, 2005)

A Framework to Design Fault-Tolerant Mechatronics Systems Under Uncertainty. - Luis E. Garza-Castañón; Rubén Morales-Menéndez; Francisco J. Cantú Ortiz (Artificial Intelligence and Applications, 2005)

Towards a new fault diagnosis system for electric machines based on dynamic probabilistic models. - José L. Flores-Quintanilla; Rubén Morales-Menéndez; Ricardo A. Ramírez-Mendoza; Luis E. Garza-Castañón; Francisco J. Cantú Ortiz (ACC, 2005)

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)

A Bayesian Reasoning Framework for On-Line Business Information Systems. - Armando Robles-Pompa; Francisco J. Cantú Ortiz; Rubén Morales-Menéndez (AMCIS, 2005)

A Fault Detection Approach Based on Machine Learning Models. - Luis E. Garza-Castañón; Francisco J. Cantú Ortiz; Rubén Morales-Menéndez; Ricardo Ramírez-Mendoza (MICAI, 2005)

Enabling Intelligent Organizations: An Electronic Institutions Approach for Controlling and Executing Problem Solving Methods. - Armando Robles; B. V. Pablo Noriega; Francisco J. Cantu; Rubén Morales-Menéndez (MICAI, 2005)

Learning and Using Bayesian Networks for Diagnosis and User Profiling. - Francisco J. Cantu; Luis E. Garza 001; Armando Robles; Rubén Morales-Menéndez (AMCIS, 2006)

Knowledge Discovery in Academic Registrar Data Bases using Source Mining: Data and Text. - Ma. Teresa Rios; Francisco J. Cantu (AMCIS, 2006)

Using MAS Technologies for Intelligent Organizations: A Report of Bottom-Up Results. - Armando Robles; Pablo Noriega; Michael Luck; Francisco J. Cantú Ortiz (MICAI, 2006)

AI approaches for cutting tool diagnosis in machining processes. - Rubén Morales-Menéndez; Antonio Vallejo Jr.; Luis E. Garza 001; Francisco J. Cantú Ortiz; José Vicente Abellán Nebot (Artificial Intelligence and Applications, 2007)

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

Current challenges and trends in intelligent computing and knowledge management in industry. - Matías Alvarado 001; Leonid Sheremetov; René Bañares-Alcántara; Francisco J. Cantú Ortiz (Knowl. Inf. Syst., 2007)

Learning Discrete Probabilistic Models for Application in Multiple Faults Detection. - Luis E. Garza-Castañón; Francisco J. Cantú Ortiz; Rubén Morales-Menéndez (ICINCO-ICSO, 2008)

OnToContent+QSI 2008 PC Co-chairs' Message. - Ramón F. Brena; Andreas Schmidt 007; Mustafa Jarrar; Werner Ceusters; Francisco J. Cantu (OTM Workshops, 2008)

An agent oriented hotel information system. - Armando Robles; Pablo Noriega; Francisco J. Cantú Ortiz (AAMAS (2), 2009)

A knowledge-based development model: the research chair strategy. - Francisco J. Cantú Ortiz; Alberto Bustani; Arturo Molina 001; Hector Moreira (J. Knowl. Manag., 2009)

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)

A Research-based Learning Approach for Undergraduate Students - The Internship Program in Research and Innovation Model. - Nathalíe Galeano; Rubén Morales-Menéndez; Francisco J. Cantú Ortiz (CSEDU (2), 2011)

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)

Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience. - Francisco J. Cantú Ortiz (Expert Syst. Appl., 2014)

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)

Research Path that Improves Student Engagement. - Rubén Morales-Menéndez; Francisco J. Cantú Ortiz; Nathalie Galeano Ramirez; James Fangmeyer; Ana Marcela Hernandez de Menendez (EDUCON, 2019)

Quantifying the research preferences of top research universities: why they make a difference? - Bárbara S. Lancho-Barrantes; Francisco J. Cantú Ortiz (ISSI, 2019)

Science in Mexico: a bibliometric analysis. - Bárbara S. Lancho-Barrantes; Francisco J. Cantú Ortiz (Scientometrics, 2019)

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

Digital Violence Against Women: A Time Series Analysis. - Gregorio Arturo Reyes González; Francisco J. Cantú Ortiz (ESSE, 2021)

A Sentiment Analysis and Unsupervised Learning Approach to Digital Violence Against Women: Monterrey Case. - Gregorio Arturo Reyes González; Francisco J. Cantú Ortiz (ICICT, 2021)

Data Mining Techniques to Build A Recommender System. - Alicia Huidobro Espejel; Francisco J. Cantú Ortiz (ISCSIC, 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)

Quantifying the publication preferences of leading research universities. - Bárbara S. Lancho-Barrantes; Francisco Javier Cantu-Ortiz (Scientometrics, 2021)

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)