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    Chapter and Conference Paper

    A Comparison of Feature Selection Methods to Optimize Predictive Models Based on Decision Forest Algorithms for Academic Data Analysis

    Nowadays, Feature Selection (FS) methods are essential (1) to create easy-to-explain predictive models in shorter periods of time, (2) to reduce overfitting and (3) avoid sparsity of data. The suitability of u...

    Antonio Jesús Fernández-García in Trends and Advances in Information Systems… (2018)

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    Chapter and Conference Paper

    Evolving Mashup Interfaces Using a Distributed Machine Learning and Model Transformation Methodology

    Nowadays users access information services at any time and in any place. Providing an intelligent user interface which adapts dynamically to the users’ requirements is essential in information systems. Convent...

    Antonio Jesus Fernandez-Garcia in On the Move to Meaningful Internet Systems… (2015)

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    Chapter and Conference Paper

    An Implementation of a Trading Service for Building Open and Interoperable DT Component Applications

    Integration and interoperability of software components and information systems is extremely important nowadays to manage data and to integrate applications and information, and to improve business processes i...

    Carmelo Maturana in Trends in Practical Applications of Agents… (2011)