Now showing items 1-20 of 177

    • 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 comparison of deep learning methods for urban traffic forecasting using floating car data 

      Vázquez Giménez, Juan José; Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep (Elsevier, 2020)
      Article
      Open Access
      Cities today must address the challenge of sustainable mobility, and traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue ...
    • 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 approach for segmentation of red blood cell images and malaria detection 

      Delgado Ortet, Maria; Molina Borrás, Ángel; Alférez Baquero, Edwin Santiago; Rodellar Benedé, José; Merino González, Anna (2020-06-13)
      Article
      Open Access
      Malaria is an endemic life-threating disease caused by the unicellular protozoan parasites of the genus Plasmodium. Confirming the presence of parasites early in all malaria cases ensures species-specific antimalarial ...
    • 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 pipeline for large raw text preprocessing and model training of language models at scale 

      Armengol Estapé, Jordi (Universitat Politècnica de Catalunya, 2021-01-25)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona / Universitat Rovira i Virgili
      The advent of Transformer-based (i.e., based on self-attention architectures) language models has revolutionized the entire field of Natural Language Processing (NLP). Once pre-trained on large, unlabelled corpora, we can ...
    • 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 ...
    • An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks 

      Njoroge Kahira, Albert; Nguyen, Truong Thao; Bautista Gomez, Leonardo; Takano, Ryousei; Badia Sala, Rosa Maria; Wahib, Mohamed (Association for Computing Machinery (ACM), 2021)
      Conference report
      Open Access
      Deep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ...
    • 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 ...
    • Análisis de imagen aplicada a la gestión de aeropuertos 

      Fernández Marcellán, Martín (Universitat Politècnica de Catalunya, 2021-06-28)
      Bachelor thesis
      Open Access
      As the title suggests, the project is about applying image processing techniques to airportmanagement. Concretely, about the recognizement of aircraft by detecting their registra-tion.The first thing to do to get the ...
    • Anytime inference with distilled hierarchical neural ensembles 

      Ruiz Ovejero, Adrià; Verbeek, Jakob (2021)
      Conference report
      Open Access
      Inference in deep neural networks can be computationally expensive, and networks capable of anytime inference are important in mscenarios where the amount of compute or quantity of input data varies over time. In such ...
    • Applying the rainbow architecture to intrusion detection systems 

      Izquierdo García-Faria, Tomás (Universitat Politècnica de Catalunya, 2021-04-28)
      Master thesis
      Open Access
      There is a lot of expectation on how Artificial Intelligence (AI) is going to have an impact on Cybersecurity. From new sophisticated attacks to new ways of defending a system from cybercriminals. A lot of techniques are ...