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Browsing by Author "Martínez Plumed, Fernando"

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Browsing by Author "Martínez Plumed, Fernando"

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    A computational analysis of general intelligence tests for evaluating cognitive development 
    Martínez-Plumed, Fernando; Ferri Ramírez, César; Hernández-Orallo, José; Ramírez Quintana, María José (Elsevier, 2017)
    [EN] The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same ...
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    A knowledge growth and consolidation framework for lifelong machine learning systems 
    Martínez-Plumed, Fernando; Ferri Ramírez, César; Hernández Orallo, José; Ramírez Quintana, María José (IEEE, 2014-12)
    A more effective vision of machine learning systems entails tools that are able to improve task after task and to reuse the patterns and knowledge that are acquired previously for future tasks. This incremental, long-life ...
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    A New AI Evaluation Cosmos: Ready to Play the Game? 
    Hernández-Orallo, José; Baroni, Marco; Bieger, Jordi; Chmait, Nader; Dowe, David L; Hofmann, Katja; Martínez-Plumed, Fernando; Strannegard, Claes; Thorissons, Kristinn R. (Association for the Advancement of Artificial Intelligence (AAAI), 2017)
    [EN] We report on a series of new platforms and events dealing with AI evaluation that may change the way in which AI systems are compared and their progress is measured. The introduction of a more diverse and challenging ...
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    Analysis of Deep Learning Inference Compute and Energy Consumption Trends 
    Desislavov Georgiev, Radosvet (Universitat Politècnica de València, 2021-10-18)
    [EN] In the last decade, deep learning has achieved spectacular results in numerous applications. The increase in performance has been accompanied by a significant increase in the size of these networks, measured in number ...
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    Análisis de rendimiento de autores científicos 
    Cardona Maroto, Iván (Universitat Politècnica de València, 2019-10-14)
    [ES] La extracción de datos bibliográficos como publicaciones científicas provenientes de distintos orígenes de datos, y el posterior análisis de los resultados obtenidos, es un método muy utilizado por investigadores ...
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    Análisis y predicción de la demanda hotelera usando técnicas de aprendizaje automático 
    Gauses Domingo, Miguel (Universitat Politècnica de València, 2021-09-13)
    [ES] Este trabajo tiene como objetivo principal el análisis en profundidad de un conjunto de datos de reservas hoteleras. Estos datos se utilizan como modelo de referencia del sector con el fin de hallar relaciones de ...
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    Árboles de estimación estocástica de probabilidades: Newton Trees 
    Martínez Plumed, Fernando (Universitat Politècnica de València, 2012-01-25)
    Este trabajo presenta un nuevo método de inducción de árboles de decisión, los Newton Trees (o Árboles de Estimación Estocástica de Probabilidades). Se trata de una redefinición de los árboles de decisión tradicionales ...
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    Computer models solving intelligence test problems: Progress and implications 
    Hernández Orallo, José; Martínez Plumed, Fernando; Schmid, Ute; Siebers, Michael; Dowe, David L (Elsevier, 2016-01)
    While some computational models of intelligence test problems were proposed throughout the second half of the XXth century, in the first years of the XXIst century we have seen an increasing number of computer systems ...
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    Cycling network projects: a decision-making aid approach 
    Martínez Plumed, Fernando; Ferri Ramírez, César; Contreras Ochando, Lidia (CEUR Workshop Proceedings, 2016-09-19)
    Effcient and clean urban mobility is a key factor in quality of life and sustainability of towns and cities. Traditionally, cities have focused on cars and other fuel-based vehicles as transport means. However, several ...
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    Desarrollo de una solución de Business Intelligence para empresas comercializadoras 
    Cuadros Nave, Juan (Universitat Politècnica de València, 2021-09-15)
    [ES] El presente proyecto destaca la importancia y necesidad de la explotación y análisis inteligente de los datos de una organización empresarial, con el fin de agilizar los procesos y actividades diarias, así como dar ...
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    Diseño de red de carril bici basado en el tráfico de bicicletas 
    Albiñana Matilla, Silvia (Universitat Politècnica de València, 2020-01-03)
    [ES] La movilidad urbana eficiente y limpia es un factor clave de la calidad de vida y la sostenibilidad de las ciudades. El objetivo de este trabajo se centra en el estudio, análisis y utilización de datos abiertos acerca ...
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    Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities 
    Martínez-Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández-Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Association for Computing Machinery (ACM), 2020-02-08)
    [EN] In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated ...
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    Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities (Appendix) 
    Martínez Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Universitat Politècnica de València, 2020)
    This appendix contains supplementary material of the paper "Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities", in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society ...
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    Dual Indicators to Analyse AI Benchmarks: Difficulty, Discrimination, Ability and Generality 
    Martínez-Plumed, Fernando; Hernández-Orallo, José (Institute of Electrical and Electronics Engineers (IEEE), 2020-06)
    [EN] With the purpose of better analyzing the result of artificial intelligence (AI) benchmarks, we present two indicators on the side of the AI problems, difficulty and discrimination, and two indicators on the side of ...
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    Further Details on Predicting IRT Difficulty 
    Martínez Plumed, Fernando; Castellano Falcón, David; Monserrat Aranda, Carlos; Hernández Orallo, José (2022-03-09)
    This supplementary material serves as technical appendix of the paper When AI Difficulty is Easy: The Explanatory Power of Predicting IRT Difficulty (Martínez-Plumed et al. 2022), published in The Thirty-Sixth AAAI ...
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    General intelligence disentangled via a generality metric for natural and artificial intelligence 
    Hernández-Orallo, José; Loe, Bao Sheng; Cheke, Lucy; Martínez-Plumed, Fernando; Heigeartaigh, Sean O. (Nature Publishing Group, 2021-11-24)
    [EN] Success in all sorts of situations is the most classical interpretation of general intelligence. Under limited resources, however, the capability of an agent must necessarily be limited too, and generality needs to ...
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    Identifying the Machine Learning Family from Black-Box Models 
    Fabra-Boluda, Raúl; Ferri Ramírez, César; Hernández-Orallo, José; Martínez-Plumed, Fernando; Ramírez Quintana, María José (Springer-Verlag, 2018-09-27)
    [EN] We address the novel question of determining which kind of machine learning model is behind the predictions when we interact with a black-box model. This may allow us to identify families of techniques whose models ...
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    Incremental and developmental perspectives for general-purpose learning systems 
    Martínez Plumed, Fernando (Universitat Politècnica de València, 2016-07-07)
    [EN] The stupefying success of Artificial Intelligence (AI) for specific problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety ...
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    Incremental and developmental perspectives for general-purpose learning systems 
    Martínez-Plumed, Fernando (Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA), 2017-02-24)
    [EN] The stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety ...
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    Item response theory in AI: Analysing machine learning classifiers at the instance level 
    Martínez-Plumed, Fernando; Prudencio, Ricardo; Martínez-Usó, Adolfo; Hernández-Orallo, José (Elsevier, 2019-06)
    [EN] AI systems are usually evaluated on a range of problem instances and compared to other AI systems that use different strategies. These instances are rarely independent. Machine learning, and supervised learning in ...