• Improved detection of small objects in road network sequences using CNN and super resolution 

      García Aguilar, Iván; Luque Baena, Rafael Marcos; López-Rubio, Ezequiel (2021)
      The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ...
    • Kafka-ML: Connecting the data stream with ML/AI frameworks 

      Martín Fernández, Cristian; Langendoerfer, Peter; Soltani Zarrin, Pouya; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2022-01-01)
      Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ...
    • Low Disruption Transformations on Cyclic Automata 

      Martín Reyes, Gema María; Vico-Vela, Francisco Jose; Dassow, Jürgen (IOS Press, 2010)
      We extend the edit operators of substitution, deletion, and insertion of a symbol over a word by introducing two new operators (partial copy and partial elimination) inspired by biological gene duplication. We define a ...
    • Melomics: A Case-Study of AI in Spain 

      Sánchez-Quintana, Carlos Alberto; Moreno-Arcas, Francisco; Albarracín-Molina, David; Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (Association for the Advancement of Artificial Intelligence, 2013-10)
      Traditionally focused on good old-fashioned AI and robotics, the Spanish AI community holds a vigorous computational intelligence substrate. Neuromorphic, evolutionary, or fuzzylike systems have been developed by ...
    • Metaheuristics on quantum computers: Inspiration, simulation and real execution 

      Dahi, Abdelmoiz Zakaria; Alba-Torres, Enrique (ELSEVIER, 22-05)
      Quantum-inspired metaheuristics are solvers that incorporate principles inspired from quantum mechanics into classical-approximate algorithms using non-quantum machines. Due to the uniqueness of quantum principles, the ...
    • Multi-objective dynamic programming with limited precision 

      Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis; Pozas García, Nicolás (Springer, 2021-11-02)
      This paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or ...
    • Multi-objective Reinforcement Learning 

      Ruiz-Montiel, Manuela (2013-09-25)
      In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domains
    • Multiresolution Layered Manufacturing 

      Fernández Rodríguez, Jose David; De Coninck, Joël (Emerald Publishing, 2018)
      PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ...
    • The NISPI framework: Analysing collaborative problem-solving from students' physical interactions 

      Cukurova, Mutlu; Luckin, Rose; Millan-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
      Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ...
    • Observations in using parallel and sequential evolutionary algorithms for automatic software testing 

      Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
      In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatically creating a set of input data to test a ...
    • PQ-learning: aprendizaje por refuerzo multiobjetivo 

      Ruiz-Montiel, Manuela; Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis (2013-09)
      En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ...
    • Pruning dominated policies in multiobjective Pareto Q-learning 

      Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis (2019-10-18)
      The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ...
    • Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks 

      García-González, Jorge; Molina Cabello, Miguel Ángel; Luque-Baena, Rafael; Ortiz-de-lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (ELSEVIER, 2021-12)
      Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ...
    • Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States 

      Seamari, Yamina; Narváez, José Ángel; Vico-Vela, Francisco Jose; Lobo Fernández, Daniel; Sánchez Vives, María Victoria (2007)
      Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from the recurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical ...
    • Search based algorithms for test sequence generation in functional testing 

      Ferrer, Javier; Kruse, Peter M.; Chicano, Francisco; Alba-Torres, Enrique (2014-10-03)
      The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ...
    • Selfo: A class of self-organizing connection games 

      Vico-Vela, Francisco Jose (2007)
      Selfo is defined as a class of abstract strategy board games subscribed to the category of connection games. Its name derives from the phenomenon of self-organization (i.e. the increase in a system’s organization without ...
    • Semantic modelling of Earth Observation remote sensing 

      Aldana Martín, José Francisco; Garcia Nieto, Jose Manuel; Roldan-Garcia, Maria del Mar; Aldana-Montes, Jose Francisco (ELSEVIER, 2022-01)
      Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ...
    • SERA: Sistema para la Evaluación y Retroalimentación Automática de Prácticas 

      Agudo-Ruiz, Isaac; Rios-del-Pozo, Ruben; Nieto, Ana (2020-06-10)
      En este artículo presentamos una sistema modular y altamente configurable que permite no sólo la generación y evaluación automática de prácticas de laboratorio sino también proporcionar una retroalimentación instantánea ...
    • Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting 

      Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Elizondo, David A. (2021)
      Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ...
    • Software project management with GAs 

      Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
      A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved ...