Now showing items 1-20 of 142

    • 3D vehicle detection on an FPGA from LiDAR point clouds 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      In this paper is presented a deep neural network architecture designed to run on a field-programmable gate array (FPGA) for detection vehicle on LIDAR point clouds. This works present a network based on VoxelNet adapted ...
    • A Convolutional Neural Network for the automatic diagnosis of collagen VI-related muscular dystrophies 

      Rodríguez Bazaga, Adrián; Roldán Molina, Mónica; Badosa Gallego, Maria del Carmen; Jiménez Mallebrera, Cecilia; Porta Pleite, Josep Maria (2019-12-01)
      Article
      Restricted access - publisher's policy
      The development of machine learning systems for the diagnosis of rare diseases is challenging, mainly due to the lack of data to study them. This paper surmounts this obstacle and presents the first Computer-Aided Diagnosis ...
    • A cross-layer review of deep learning frameworks to ease their optimization and reuse 

      Tabani, Hamid; Pujol Torramorell, Roger; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      Machine learning and especially Deep Learning (DL) approaches are at the heart of many domains, from computer vision and speech processing to predicting trajectories in autonomous driving and data science. Those approaches ...
    • A deep analysis on age estimation 

      Huerta Casado, Iván; Fernandez Tena, Carles; Segura, Carlos; Hernando Pericás, Francisco Javier; Prati, Andrea (2015-12-15)
      Article
      Open Access
      The automatic estimation of age from face images is increasingly gaining attention, as it facilitates applications including advanced video surveillance, demographic statistics collection, customer profiling, or search ...
    • A Deep Learning Based Approach to Automated App Testing 

      Llàcer Giner, David (Universitat Politècnica de Catalunya, 2020-09-09)
      Master thesis
      Open Access
      Mobile applications are worldwide extended. We use them for everything, from texting friends to managing our money. This boom has led to the emergence of companies dedicated exclusively to the development of mobile ...
    • A novel methodology to predict regulations using deep learning 

      Mas Pujol, Sergi; Salamí San Juan, Esther; Pastor Llorens, Enric (Single European Sky ATM Research (SESAR), 2020)
      Conference report
      Open Access
      The current air traffic control system tries to allocate as many flights as possible in a scenario that is expected to be time-efficient, cost-efficient, and safe. To guaranty these safety conditions, it is performed a ...
    • A web scraping framework for stock price modelling using deep learning methods 

      Fibla Salgado, Aleix (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2019-06)
      Bachelor thesis
      Open Access
      This work aims to shed light to the process of web scraping, emphasizing its importance in the new ’Big Data’ era with an illustrative application of such methods in financial markets.The work essentially focuses on different ...
    • Action recognition in videos 

      Xu, Zineng (Universitat Politècnica de Catalunya, 2018-06-18)
      Master thesis
      Open Access
      In this project, our work can be divided into two parts: RGB-D based action recognition in trimmed videos and temporal action detection in untrimmed videos.
    • Active garment recognition and target grasping point detection using deep learning 

      Corona Puyane, Enric; Alenyà Ribas, Guillem; Gabas Nova, Antonio; Torras, Carme (2018-02-01)
      Article
      Open Access
      Identification and bi-manual handling of deformable objects, like textiles, is one of the most challenging tasks in the field of industrial and service robotics. Their unpredictable shape and pose makes it very difficult ...
    • Advanced energy management strategies for HVAC systems in smart buildings 

      Sala Cardoso, Enric (Universitat Politècnica de Catalunya, 2019-12-16)
      Doctoral thesis
      Open Access
      The efficacy of the energy management systems at dealing with energy consumption in buildings has been a topic with a growing interest in recent years due to the ever-increasing global energy demand and the large percentage ...
    • An application of explainability methods in reinforcement learning 

      Climent Muñoz, Antoni (Universitat Politècnica de Catalunya, 2020-07-02)
      Bachelor thesis
      Open Access
      La popularidad de los métodos explicativos está aumentando en el contexto de la Inteligencia Artificial y consiste en dar explicaciones inteligibles a modelos complejos. Recientemente, en el contexto del Aprendizaje Reforzado ...
    • Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems 

      Arellano Espitia, Francisco; González Abreu, Artvin Darién; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ...
    • Analyzing European Deep-Learning libraries with Industry Standard Benchmark 

      Beduhe Badouh, Asaf (Universitat Politècnica de Catalunya, 2020-10-28)
      Master thesis
      Open Access
      Covenantee:   Barcelona Supercomputing Center
      For the past decade, machine learning (ML) has revolutionized numerous domains in our daily life. Nowadays, deep learning (DL) algorithms are the central focus of modern ML systems. As a result, we are witnessing an ...
    • Assessing knee OA severity with CNN attention-based end-to-end architectures 

      Górriz, Marc; Antony, Joseph; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel (2019)
      Conference lecture
      Open Access
      This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules ...
    • Auto-encoding nearest neighbor i-vectors for speaker verification 

      Khan, Umair; India Massana, Miquel Àngel; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2019)
      Conference lecture
      Open Access
      In the last years, i-vectors followed by cosine or PLDA scoringtechniques were the state-of-the-art approach in speaker veri-fication. PLDA requires labeled background data, and thereexists a significant performance gap ...
    • Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring 

      Arellano Espitia, Francisco; Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - publisher's policy
      Condition monitoring in electromechanical systems represents, currently, one of the most critical challenges dealing with the advancement and modernization in intelligent manufacturing. In this regard, machine learning ...
    • Automated curation of brand-related social media images with deep learning 

      Tous Liesa, Rubén; Gómez Parada, Mauro; Poveda, Jonatan; Cruz, Leonel; Wust, Otto; Makni, Mouna; Ayguadé Parra, Eduard (2018-10)
      Article
      Open Access
      This paper presents a work consisting in using deep convolutional neural networks (CNNs) to facilitate the curation of brand-related social media images. The final goal is to facilitate searching and discovering user-generated ...
    • Automatic generation of workload profiles using unsupervised learning pipelines 

      Buchaca Prats, David; Bernal García, Josep Lluis; Carrera Pérez, David (2017-12-27)
      Article
      Open Access
      The complexity of resource usage and power consumption on cloud-based applications makes the understanding of application behavior through expert examination difficult. The difficulty increases when applications are seen ...
    • Automatic speech recognition with deep neural networks for impaired speech 

      España-i-Bonet, Cristina; Rodríguez Fonollosa, José Adrián (Springer, 2016)
      Conference report
      Open Access
      Automatic Speech Recognition has reached almost human performance in some controlled scenarios. However, recognition of impaired speech is a difficult task for two main reasons: data is (i) scarce and (ii) heterogeneous. ...
    • Bioinformatics and medicine in the era of deep learning 

      Bacciu, Davide; Lisboa, Paulo J G; Martín, José David; Stoean, Ruxandra; Vellido Alcacena, Alfredo (I6doc.com, 2018)
      Conference report
      Restricted access - publisher's policy
      Many of the current scientific advances in the life sciences have their origin in the intensive use of data for knowledge discovery. In no area this is so clear as in bioinformatics, led by technological breakthroughs in ...