• A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients 

      García Rudolph, Alejandro; Gibert, Karina (2014-09-01)
      Artículo
      Acceso restringido por política de la editorial
      Cognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress ...
    • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

      Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
      Texto en actas de congreso
      Acceso abierto
      With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...
    • A decision making support tool: The resilience management fuzzy controller 

      González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Texto en actas de congreso
      Acceso abierto
      In this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ...
    • A deep learning approach to portfolio optimization 

      Cartanyà Caro, Pau (Universitat Politècnica de Catalunya, 2022-02)
      Trabajo final de grado
      Acceso abierto
      Realizado en/con:   Hong Kong University of Science and Technology
      Des del desenvolupament de la teoria moderna de carteres de Markowitz l'any 1952, s'han dut a terme numerosos avenços per a millorar-ne les tècniques originals, fins al punt que la recerca actual en aquest àmbit es centra ...
    • A deep reinforcement learning approach for path following on a quadrotor 

      Rubí Perelló, Bartomeu; Morcego Seix, Bernardo; Pérez Magrané, Ramon (2020)
      Texto en actas de congreso
      Acceso abierto
      This paper proposes the Deep Deterministic Policy Grandient (DDPG) reinforcement learning algorithm to solve the path following problem in a quadrotor vehicle. This agent is implemented using a separated control and guidance ...
    • A federated learning method for real-time emotion state classification from multi-modal streaming 

      Arijit, Nandi; Xhafa Xhafa, Fatos (Elsevier, 2022-08)
      Artículo
      Acceso restringido por política de la editorial
      Emotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ...
    • A framework to understand attitudes towards immigration through Twitter 

      Freire Vidal, Yerka; Graells Garrido, Eduardo; Rowe, Francisco (MDPI, 2021)
      Artículo
      Acceso abierto
      Understanding public opinion towards immigrants is key to prevent acts of violence, discrimination and abuse. Traditional data sources, such as surveys, provide rich insights into the formation of such attitudes; yet, they ...
    • A fuzzy rule model for high level musical features on automated composition systems 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
      Capítulo de libro
      Acceso abierto
      Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...
    • A general guide to applying machine learning to computer architecture 

      Nemirovsky, Daniel; Arkose, Tugberk; Markovic, Nikola; Nemirovsky, Mario; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Valero Cortés, Mateo (2018)
      Artículo
      Acceso abierto
      The resurgence of machine learning since the late 1990s has been enabled by significant advances in computing performance and the growth of big data. The ability of these algorithms to detect complex patterns in data which ...
    • A Generative Dialogue System for Reminiscence Therapy 

      Carós Roca, Mariona (Universitat Politècnica de Catalunya, 2019-09)
      Projecte Final de Màster Oficial
      Acceso abierto
      With people living longer than ever, the number of cases with neurodegenerative diseases such as Alzheimer's or cognitive impairment increases steadily. In Spain it affects more than 1.2 million patients and it is estimated ...
    • A genetic attack against machine learning classifiers to steal biometric actigraphy profiles from health related sensor data 

      Garcia Ceja, Enrique; Morin, Brice; Aguilar Rivera, Anton; Riegler, Michael Alexander (Springer, 2020)
      Artículo
      Acceso abierto
      In this work, we propose the use of a genetic-algorithm-based attack against machine learning classifiers with the aim of ‘stealing’ users’ biometric actigraphy profiles from health related sensor data. The target ...
    • A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL 

      Jaksic, Zoran; Cadenelli, Nicola; Buchaca Prats, David; Polo Bardés, Jordà; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03-01)
      Artículo
      Acceso abierto
      Conditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ...
    • A Human Shape-Motion Predictor with Deep Learning 

      Romero Mérida, Antonio (Universitat Politècnica de Catalunya, 2019-04-24)
      Projecte Final de Màster Oficial
      Acceso abierto
      The objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and ...
    • A human-in-the-loop approach based on explainability to improve NTL detection 

      Coma Puig, Bernat; Carmona Vargas, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Texto en actas de congreso
      Acceso abierto
      Implementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used are black-boxes that cannot be either ...
    • A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning 

      Mohebian, Mohammad Reza; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Mokarian, Fariborz (Elsevier, 2016-12-06)
      Artículo
      Acceso restringido por política de la editorial
      Cancer is a collection of diseases that involves growing abnormal cells with the potential to invade or spread tothe body. Breast cancer is the second leading cause of cancer death among women. A method for 5-year breastcancer ...
    • A Learning Approach to Solving Automatic Control Problems 

      Parellada Calderer, Benjami (Universitat Politècnica de Catalunya, 2022-10-18)
      Trabajo final de grado
      Acceso restringido por decisión del autor
      Els problemes de control automàtic poden ser extremadament difícils de resoldre per a qualsevol algoritme no adaptatiu. El control automàtic implica l'avaluació en temps real de les respostes d'un sistema que es retroalimenta ...
    • A learning system for adjustment processes based on human sensory perceptions 

      Ruiz Vegas, Francisco Javier; Agell Jané, Núria; Angulo Bahón, Cecilio; Sánchez Soler, Monica (2018-12-01)
      Artículo
      Acceso abierto
      Creating, designing and adjusting products are essential decision processes underlying creative industries, such as painting, perfume, food and beverage industries. These processes require the participation and continuous ...
    • A lightweight perception module for planning purposes 

      Ud Din, Muhayy; Rosell Gratacòs, Jan; Bukhari, Sohail; Ahmad, Mansoor; Qazi, Wajahat Mahmood (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Comunicación de congreso
      Acceso abierto
      Sensing is an essential component for robots to perform the manipulation tasks in real environments. This study proposes a lightweight deep-learning-based sensing modules which allows the robots to automatically model the ...
    • A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields 

      López, Emiliano; Vionnet, Carlos; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Contini, Guillermo; Prodolliet, Jorge; Maiztegui, José (2022-09-09)
      Artículo
      Acceso abierto
      The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ...
    • A lower bound for learning distributions generated by probabilistic automata 

      Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
      Texto en actas de congreso
      Acceso abierto
      Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ...