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  1. Article

    Open Access

    Biomechanical Markers of Forward Hop-Landing After ACL-Reconstruction: A Pattern Recognition Approach

    Biomechanical changes after anterior cruciate ligament reconstruction (ACLR) may be detrimental to long-term knee-joint health. We used pattern recognition to characterise biomechanical differences during the ...

    Prasanna Sritharan, Mario A. Muñoz, Peter Pivonka… in Annals of Biomedical Engineering (2022)

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  2. No Access

    Article

    Parameter estimation for a point-source diffusion-decay morphogen model

    In this paper we present a novel method for finding unknown parameters for an unknown morphogen. We postulate the existence of an unknown morphogen in a given three-dimensional domain due to the spontaneous ar...

    Mark B. Flegg, Mario A. Muñoz, Kate Smith-Miles… in Journal of Mathematical Biology (2020)

  3. No Access

    Article

    On normalization and algorithm selection for unsupervised outlier detection

    This paper demonstrates that the performance of various outlier detection methods is sensitive to both the characteristics of the dataset, and the data normalization scheme employed. To understand these depend...

    Sevvandi Kandanaarachchi, Mario A. Muñoz… in Data Mining and Knowledge Discovery (2020)

  4. Article

    Instance spaces for machine learning classification

    This paper tackles the issue of objective performance evaluation of machine learning classifiers, and the impact of the choice of test instances. Given that statistical properties or features of a dataset affe...

    Mario A. Muñoz, Laura Villanova, Davaatseren Baatar, Kate Smith-Miles in Machine Learning (2018)

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  5. No Access

    Chapter and Conference Paper

    The Algorithm Selection Problem on the Continuous Optimization Domain

    The problem of algorithm selection, that is identifying the most efficient algorithm for a given computational task, is non-trivial. Meta-learning techniques have been used successfully for this problem in par...

    Mario A. Muñoz, Michael Kirley… in Computational Intelligence in Intelligent … (2013)

  6. No Access

    Chapter and Conference Paper

    A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems

    Algorithm selection and configuration is a challenging problem in the continuous optimization domain. An approach to tackle this problem is to develop a model that links landscape analysis measures and algorit...

    Mario A. Muñoz, Michael Kirley… in Parallel Problem Solving from Nature - PPS… (2012)

  7. No Access

    Chapter

    Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform

    In this work, an algorithm based on the Bacteria Swarm Foraging Optimization was used for the dynamical resource allocation in a multiple input/output experimentation platform. This platform, which mimics a te...

    Mario A. Muñoz, Jesús A. López… in Analysis and Design of Intelligent Systems… (2007)