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37 results on '"López-Morales, Virgilio"'

3. A General Method for Consistency Improving in Decision-Making Under Uncertainty

Author

López-Morales, Virgilio, Suárez-Cansino, Joel, Gabbasov, Ruslan, Arcega, Anilu Franco, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Batyrshin, Ildar, editor, Martínez-Villaseñor, María de Lourdes, editor, and Ponce Espinosa, Hiram Eredín, editor

Published
2018
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4. A Time Complexity Analysis to the ParDTLT Parallel Algorithm for Decision Tree Induction

Author

Suárez-Cansino, Joel, Franco-Árcega, Anilú, Flores-Flores, Linda Gladiola, López-Morales, Virgilio, Gabbasov, Ruslan, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Batyrshin, Ildar, editor, Martínez-Villaseñor, María de Lourdes, editor, and Ponce Espinosa, Hiram Eredín, editor

Published
2018
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5. Efficiency Analysis of Particle Tracking with Synthetic PIV Using SOM

Author

Hernández-Pérez, Rubén, Gabbasov, Ruslan, Suárez-Cansino, Joel, López-Morales, Virgilio, Franco-Árcega, Anilú, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Batyrshin, Ildar, editor, Martínez-Villaseñor, María de Lourdes, editor, and Ponce Espinosa, Hiram Eredín, editor

Published
2018
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7. Conditional Colored Petri Net for Modelling an Automated GDM System

Author

Medina-Marín, Joselito, López-Morales, Virgilio, Karelin, Oleksandr, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Pichardo Lagunas, Obdulia, editor, Herrera Alcántara, Oscar, editor, and Arroyo Figueroa, Gustavo, editor

Published
2015
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8. On the Extended Specific Objectivity of Some Pseudo–Rasch Models Applied in Testing Scenarios

Author

Suárez–Cansino, Joel, Morales–Manilla, Luis R., López–Morales, Virgilio, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Pichardo Lagunas, Obdulia, editor, Herrera Alcántara, Oscar, editor, and Arroyo Figueroa, Gustavo, editor

Published
2015
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18. Fuzzy Modelling Methodologies for Large Database

Author

López Morales, Virgilio, Ramos Fernández, Julio Cesar, Enea, Gilles, Duplaix, Jean, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Melin, Patricia, editor, Castillo, Oscar, editor, Aguilar, Luis T., editor, Kacprzyk, Janusz, editor, and Pedrycz, Witold, editor

Published
2007
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19. Prior Distribution and Entropy in Computer Adaptive Testing Ability Estimation through MAP or EAP.

Author

Suárez-Cansino, Joel, López-Morales, Virgilio, Morales-Manilla, Luis Roberto, Alberto-Rodríguez, Adrián, and Ramos-Fernández, Julio César

Subjects
*COMPUTER adaptive testing, *ENTROPY, *CONDITIONAL probability, *ITEM response theory, *ACADEMIC achievement
Abstract

To derive a latent trait (for instance ability) in a computer adaptive testing (CAT) framework, the obtained results from a model must have a direct relationship to the examinees' response to a set of items presented. The set of items is previously calibrated to decide which item to present to the examinee in the next evaluation question. Some useful models are more naturally based on conditional probability in order to involve previously obtained hits/misses. In this paper, we integrate an experimental part, obtaining the information related to the examinee's academic performance, with a theoretical contribution of maximum entropy. Some academic performance index functions are built to support the experimental part and then explain under what conditions one can use constrained prior distributions. Additionally, we highlight that heuristic prior distributions might not properly work in all likely cases, and when to use personalized prior distributions instead. Finally, the inclusion of the performance index functions, arising from current experimental studies and historical records, are integrated into a theoretical part based on entropy maximization and its relationship with a CAT process. [ABSTRACT FROM AUTHOR]

Published
2023
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24. Automatic generation of learning outcomes based on long short–term memory artificial neural network1.

Author

Suárez-Cansino, Joel, López-Morales, Virgilio, Ramos-Fernández, Julio César, Pinto, David, Beltrán, Beatriz, and Singh, Vivek

Subjects
*EDUCATIONAL outcomes, *INSTRUCTIONAL systems design
Abstract

Building a good instructional design requires a sound organization management to program and articulate several tasks based for instance on the time availability, process follow-up, social and educational context. Furthermore, learning outcomes are the basis involving every educational activity. Thus, based on a predefined ontology, including the instructional educative model and its characteristics, we propose the use of a Long Short–Term Memory Artificial Neural Network (LSTM) to organize the structure and automatize the obtention of learning outcomes for a focused instructional design. We present encouraging results in this direction through the use of a LSTM using as the training data, a small learning outcomes set predefined by the user, focused on the characteristics of an educative model previously defined. [ABSTRACT FROM AUTHOR]

Published
2022
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25. Automatic generation of learning outcomes based on long short–term memory artificial neural network1.

Author

Suárez-Cansino, Joel, López-Morales, Virgilio, Ramos-Fernández, Julio César, Pinto, David, Beltrán, Beatriz, and Singh, Vivek

Subjects
EDUCATIONAL outcomes, INSTRUCTIONAL systems design
Abstract

Building a good instructional design requires a sound organization management to program and articulate several tasks based for instance on the time availability, process follow-up, social and educational context. Furthermore, learning outcomes are the basis involving every educational activity. Thus, based on a predefined ontology, including the instructional educative model and its characteristics, we propose the use of a Long Short–Term Memory Artificial Neural Network (LSTM) to organize the structure and automatize the obtention of learning outcomes for a focused instructional design. We present encouraging results in this direction through the use of a LSTM using as the training data, a small learning outcomes set predefined by the user, focused on the characteristics of an educative model previously defined. [ABSTRACT FROM AUTHOR]

Published
2022
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27. LA INTELIGENCIA ARTIFICIAL APLICADA A LA PREVENCIÓN DE ACCIDENTES EN VEHÍCULOS AUTÓNOMOS.

Author

Vargas Beltrán, Antelmo, Ramos Fernández, Julio Cesar, López Morales, Virgilio, and Trejo Macotela, Francisco R.

Abstract

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020

36. Fuzzy Modelling Methodologies for Large Database.

Author

Carbonell, Jaime G., Siekmann, Jörg, Melin, Patricia, Castillo, Oscar, Aguilar, Luis T., Kacprzyk, Janusz, Pedrycz, Witold, López Morales, Virgilio, Ramos Fernández, Julio Cesar, Enea, Gilles, and Duplaix, Jean

Abstract

In this paper we analyze two recent modelling methodologies: one based on a database preprocessing and then, the application of the fuzzy C-means to highlight useful characteristics used in target selection for direct marketing which is our first study case. The second one is based on fuzzy clustering and cubic splines in the rule consequents. Some examples are given in order to illustrate the advantages and drawbacks of these methods. [ABSTRACT FROM AUTHOR]

Published
2007
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