Now showing items 1-19 of 19

    • A defuzzification based new algorithm for the design of Mamdani-type fuzzy controllers 

      Saade, J.J. (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2000)
      Article
      Open Access
      This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzzy controllers based on available input-output data. It relies on the use of a previously introduced parametrized defuzzification ...
    • A multistrategy approach for digital text 

      Castillo, María Dolores del; Serrano Moreno, José Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2005)
      Article
      Open Access
      The goal of the research described here is to develop a multistrategy classifier system that can be used for document categorization. The system automatically discovers classification patterns by applying several empirical ...
    • A post-processing strategy for SVM learning from unbalanced data 

      Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2011)
      Conference lecture
      Open Access
      Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the Fisher’s discriminant analysis, a post-processing strategy is introduced to deal datasets with significant imbalance ...
    • Adaptive scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (IEEE Computer Society Publications, 2011)
      Conference report
      Restricted access - publisher's policy
      Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
    • Anàlisi dels sistemes electorals i estudi dels resultats de les eleccions catalanes ala darrera dècada mitjançant Intel·ligència Artificial 

      Baurier Gasch, Pablo (Universitat Politècnica de Catalunya, 2021-06-21)
      Bachelor thesis
      Open Access
      Ens trobem en un moment de la història on les democràcies estan evolucionant, i degut a la hiperconectivitat i globalització, s’estan replantejant molts models d’elecció dels nostres representants polítics, també coneguts ...
    • Comparison of active learning methods for automatic document classification 

      Marcé Gomis, Marc (Universitat Politècnica de Catalunya, 2018-06-21)
      Master thesis
      Open Access
      Getting correctly labelled data is an important preliminary stage for many supervisedmachine learning problems, but it can also be really difficult to perform. Sometimes, toobtain a good model, it could require tens or ...
    • Detección de transiciones posturales basado en un acelerómetro y un sensor de presión mediante algoritmos de aprendizaje automático 

      Pilataxi Pilataxi, Jhon Ivan (Universitat Politècnica de Catalunya, 2019-01-31)
      Master thesis
      Restricted access - author's decision
      [CASTELLÀ] Los sensores inerciales basados en Sistemas Micro Electro Mecánicos, gracias a su reducido tamaño y bajo consumo de energía, han permitido el desarrollo de sistemas portables orientados al reconocimiento de ...
    • Evolutionaty training for dynamical recurrent neural networks: an application in finantial time series prediction 

      Delgado Calvo-Flores, Miguel; Pegalajar Jiménez, Mª Carmen; Pegalajar Cuéllar, Manuel (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2006)
      Article
      Open Access
      Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the ...
    • Handling binary classification problems with a priority class by using Support Vector Machines 

      Gonzalez Abril, Luis; Angulo Bahón, Cecilio; Núñez Castro, Haydemar; Leal, Yenny (2017-12-01)
      Article
      Open Access
      © 2017 Elsevier B.V. A post-processing technique for Support Vector Machine (SVM) algorithms for binary classification problems is introduced in order to obtain adequate accuracy on a priority class (labelled as a positive ...
    • Horn query learning with multiple refinement 

      Sierra Santibáñez, Josefina; Santibáñez Velilla, Josefina (2008)
      Article
      Restricted access - publisher's policy
      In this paper we try to understand the heuristics that underlie the decisions made by the Horn query learning algorithm proposed in [1]. We take advantage of our explicit representation of such heuristics in order to ...
    • Improvement to the cooperative rules methodology by using the ant colony system algorithm 

      Alcalá Fernández, Rafael; Casillas Barranquero, Jorge; Cordón García, Oscar; Herrera Triguero, Francisco (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2001)
      Article
      Open Access
      The cooperative rules (COR) methodology [2] is based on a combinatorial search of cooperative rules performed over a set of previously generated candidate rule consequents. It obtains accurate models preserving the highest ...
    • Machine learning aplicat a prediccions durant la nit electoral 

      Fernández Bertolín, Sergio (Universitat Politècnica de Catalunya, 2016-10)
      Master thesis (pre-Bologna period)
      Open Access
      The current project explores electoral data from Spanish national elections from 2000 to 2011. Using these, it is developed and tested an algorithm to predict election results with a small error. The analysed prediction ...
    • Máquinas de soporte vectorial sobre conjuntos de datos no balanceados: propuesta de un nuevo sesgo 

      Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2012-09)
      Research report
      Open Access
      En el aprendizaje con conjuntos de datos no balanceados, la máquina de soporte vectorial (SVM) puede exhibir un bajo rendimiento sobre la clase minoritaria ya que, como otras máquinas de aprendizaje, están diseñadas para ...
    • Modificación del sesgo de una SVM entrenada sobre clases no balanceadas 

      Núñez Castro, Haydemar; Angulo Bahón, Cecilio; González Abril, Luis (Universidad de Sevilla, 2011)
      Conference report
      Open Access
      En el área de aprendizaje automático, uno de los problemas que se presenta es el relacionado con las clases no balanceadas. Esto ocurre cuando en el conjunto de datos se dispone de muchos ejemplos de una clase, pero ...
    • Restricted Boltzmann machine vectors for speaker clustering and tracking tasks in TV broadcast shows 

      Khan, Umair; Safari, Pooyan; Hernando Pericás, Francisco Javier (Multidisciplinary Digital Publishing Institute, 2019-07-09)
      Article
      Open Access
      Restricted Boltzmann Machines (RBMs) have shown success in both the front-end and backend of speaker verification systems. In this paper, we propose applying RBMs to the front-end for the tasks of speaker clustering and ...
    • Sensor sintètic 

      Fanjul i Penella, Irene (Universitat Politècnica de Catalunya, 2020-01-31)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • Study of different machine learning approaches for identification of fake news articles 

      Zurita Nicolas, Josep Ricard (Universitat Politècnica de Catalunya, 2019-10-08)
      Master thesis
      Open Access
      In this document multiple machine learning approaches, including Supervised, Semi-supervised and Unsupervised learning are explored with the objective of finding the best algorithm for the task of identifying fake news. ...
    • Using genetic feature selection for optimizing user profiles 

      Larsen, Henrik Legind; Marín Ruíz, Nicolás; Martín Bautista, Maria José; Vila Miranda, María Amparo (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2000)
      Article
      Open Access
      Most of the techniques used in text classification are determined by the occurrences of the words (terms) appearing in the documents, combined with the user feedback over the documents retrieved. However, in our model, ...
    • Video Object Segmentation by Tracking Structured Key Points and Contours 

      Caelles Prat, Sergi (Universitat Politècnica de Catalunya, 2016-08)
      Master thesis
      Open Access
      Covenantee:   Eidgenössische Technische Hochschule Zürich
      In this thesis, we tackle the problem of video object segmentation where we have to classify every pixel of every frame in a video sequence into background and foreground classes. Our algorithms fall in the semi-supervised ...