Oscar Cordon | University of Granada (original) (raw)

Oscar Cordon

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Papers by Oscar Cordon

Research paper thumbnail of 12th On-line World Conference on Soft Computing in Industrial Applications

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Research paper thumbnail of Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

IEEE Computational Intelligence Magazine, Feb 1, 2019

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Research paper thumbnail of Custom Structure Preservation in Face Aging

Lecture Notes in Computer Science, 2022

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Research paper thumbnail of Analyzing the extremization of opinions in a general framework of bounded confidence and repulsion

Information Sciences

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Research paper thumbnail of Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks

Proceedings of the Annual Hawaii International Conference on System Sciences, 2022

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Research paper thumbnail of MEPROCS Framework Validation

Handbook on Craniofacial Superimposition, 2019

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Research paper thumbnail of TOP25 articles within the journal: Fuzzy Sets and Systems

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Research paper thumbnail of Forensic Identification by Craniofacial Superimposition Using Fuzzy Set Theory

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Research paper thumbnail of IPOP-CMA-ES and the Influence of Different Deviation Measures for Agent-Based Model Calibration

2021 IEEE Congress on Evolutionary Computation (CEC), 2021

Calibration is a crucial task on building valid models before exploiting their results. This proc... more Calibration is a crucial task on building valid models before exploiting their results. This process consists of adjusting the model parameters in order to obtain the desired outputs. Automatic calibration can be performed by using an optimization algorithm and a fitness function, which involves a deviation measure to compare the time series coming from the model. In this paper, we apply a memetic IPOP-CMA-ES for the calibration of an agent-based model and we study the effect of different deviation measures in this calibration problem. Classical metrics calculate the mean point-to-point error, but we also propose using an extension of dynamic time warping, which considers trend series evolution. In order to determine if calibrating with an specific metric leads to better solutions, we carry out an exhaustive experimentation by including statistical tests, analysis on the values of the calibrated parameters, and qualitative results. Our results show IPOP-CMA-ES obtains better performance than a genetic algorithm. In addition, MAE, MAPE and Soft-DTW are the metrics which report best results, although we get a similar behavior for all of them.

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Research paper thumbnail of Craniofacial Superimposition: State of the Art

Handbook on Craniofacial Superimposition, 2019

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Research paper thumbnail of Importance of Craniofacial Superimposition in Forensic Identification: Historical Perspective

Handbook on Craniofacial Superimposition, Nov 6, 2019

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Research paper thumbnail of MEPROCS Craniofacial Superimposition Framework

Handbook on Craniofacial Superimposition, Nov 6, 2019

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Research paper thumbnail of Craniofacial Superimposition Techniques

Handbook on Craniofacial Superimposition, Nov 6, 2019

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Research paper thumbnail of Marketing analysis of wineries using social collective behavior from users’ temporal activity on Twitter

Information Processing & Management, 2020

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Research paper thumbnail of Ethical and Legal Issues in Craniofacial Superimposition

Handbook on Craniofacial Superimposition, 2019

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Research paper thumbnail of Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies

Progress in Artificial Intelligence, 2019

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Research paper thumbnail of Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation

SSRN Electronic Journal, 2017

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Research paper thumbnail of Special Issue on selected papers from the IFSA–EUSFLAT2015 conference

International Journal of Approximate Reasoning, 2016

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Research paper thumbnail of Evolutionary Image Registration in Craniofacial Superimposition: Modeling and Incorporating Expert Knowledge

Lecture Notes in Computer Science, 2016

Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mor... more Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of an individual and the analysis of their morphological correspondence. This research focused on the skull-face overlay stage with the aim of modeling the expert knowledge that is related to the existing anthropometric differences among landmarks and incorporating it into this stage. Consequently, we have moved from a single-objective optimization problem to a multiobjective optimization one aimed to reduce the distances between pairs of landmarks from each group independently. To tackle it, two classic approaches from the area of multicriteria decision making were used: weighted sum and lexicographical order. The results, which were obtained over a Ground Truth dataset, are promising in those cases where the forensic expert has located a large number of landmarks, and worse results than the state of the art method in cases with few landmarks.

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Research paper thumbnail of New EUSFLAT Working Group: Soft Computing in Image Processing

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Research paper thumbnail of 12th On-line World Conference on Soft Computing in Industrial Applications

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Research paper thumbnail of Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

IEEE Computational Intelligence Magazine, Feb 1, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Custom Structure Preservation in Face Aging

Lecture Notes in Computer Science, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Analyzing the extremization of opinions in a general framework of bounded confidence and repulsion

Information Sciences

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Research paper thumbnail of Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks

Proceedings of the Annual Hawaii International Conference on System Sciences, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of MEPROCS Framework Validation

Handbook on Craniofacial Superimposition, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of TOP25 articles within the journal: Fuzzy Sets and Systems

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Research paper thumbnail of Forensic Identification by Craniofacial Superimposition Using Fuzzy Set Theory

Bookmarks Related papers MentionsView impact

Research paper thumbnail of IPOP-CMA-ES and the Influence of Different Deviation Measures for Agent-Based Model Calibration

2021 IEEE Congress on Evolutionary Computation (CEC), 2021

Calibration is a crucial task on building valid models before exploiting their results. This proc... more Calibration is a crucial task on building valid models before exploiting their results. This process consists of adjusting the model parameters in order to obtain the desired outputs. Automatic calibration can be performed by using an optimization algorithm and a fitness function, which involves a deviation measure to compare the time series coming from the model. In this paper, we apply a memetic IPOP-CMA-ES for the calibration of an agent-based model and we study the effect of different deviation measures in this calibration problem. Classical metrics calculate the mean point-to-point error, but we also propose using an extension of dynamic time warping, which considers trend series evolution. In order to determine if calibrating with an specific metric leads to better solutions, we carry out an exhaustive experimentation by including statistical tests, analysis on the values of the calibrated parameters, and qualitative results. Our results show IPOP-CMA-ES obtains better performance than a genetic algorithm. In addition, MAE, MAPE and Soft-DTW are the metrics which report best results, although we get a similar behavior for all of them.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Craniofacial Superimposition: State of the Art

Handbook on Craniofacial Superimposition, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Importance of Craniofacial Superimposition in Forensic Identification: Historical Perspective

Handbook on Craniofacial Superimposition, Nov 6, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of MEPROCS Craniofacial Superimposition Framework

Handbook on Craniofacial Superimposition, Nov 6, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Craniofacial Superimposition Techniques

Handbook on Craniofacial Superimposition, Nov 6, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Marketing analysis of wineries using social collective behavior from users’ temporal activity on Twitter

Information Processing & Management, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Ethical and Legal Issues in Craniofacial Superimposition

Handbook on Craniofacial Superimposition, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies

Progress in Artificial Intelligence, 2019

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation

SSRN Electronic Journal, 2017

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Special Issue on selected papers from the IFSA–EUSFLAT2015 conference

International Journal of Approximate Reasoning, 2016

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Evolutionary Image Registration in Craniofacial Superimposition: Modeling and Incorporating Expert Knowledge

Lecture Notes in Computer Science, 2016

Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mor... more Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of an individual and the analysis of their morphological correspondence. This research focused on the skull-face overlay stage with the aim of modeling the expert knowledge that is related to the existing anthropometric differences among landmarks and incorporating it into this stage. Consequently, we have moved from a single-objective optimization problem to a multiobjective optimization one aimed to reduce the distances between pairs of landmarks from each group independently. To tackle it, two classic approaches from the area of multicriteria decision making were used: weighted sum and lexicographical order. The results, which were obtained over a Ground Truth dataset, are promising in those cases where the forensic expert has located a large number of landmarks, and worse results than the state of the art method in cases with few landmarks.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of New EUSFLAT Working Group: Soft Computing in Image Processing

Bookmarks Related papers MentionsView impact

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