Now showing items 1-20 of 46

    • 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 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 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Aprenentatge profund amb Keras 

      Tena Mensa, Júlia (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2019-06)
      Bachelor thesis
      Open Access
      Aquest treball parteix de la recerca bibliogràfica sobre la intel·ligència artificial, l’aprenentatge automàtic i l’aprenentatge profund. Per començar, en la introducció es troba síntesi de la informació ...
    • Automated segmentation of the left atrium from MRI cardiac images 

      Reventós Presmanes, Jana (Universitat Politècnica de Catalunya, 2021-04-26)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona / Universitat Rovira i Virgili / Hospital Clínic i Provincial de Barcelona
      Abnormalities of cardiac rhythm are associated with substantial morbidity and economic costs. Atrial Fibrillation is the most common cardiac electrophysiology disorder worldwide affecting around 2.3 million people just in ...
    • Comparing fixed and adaptive computation time for recurrent neural networks 

      Fojo, Daniel; Campos Camunez, Victor; Giró Nieto, Xavier (2018)
      Conference report
      Open Access
      Deep networks commonly perform better than shallow ones, but allocating the proper amount of computation for each particular input sample remains an open problem. This issue is particularly challenging in sequential tasks, ...
    • Converses al voltant de la intel·ligència artificial en clau catalana 

      Ruiz Costa-Jussà, Marta; Melero Nogues, Maite (2020-12)
      Article
      Open Access
      La intel·ligència artificial mou milions d’euros i ocupa una part important de les agendes polítiques i estratègiques dels governs. En aquest article reflexionem sobre aquest concepte difús i ho fem a través de tres ...
    • Coverage model for character-based neural machine translation 

      Kazimi, Mohammad Bashir (Universitat Politècnica de Catalunya, 2017-05)
      Master thesis
      Open Access
      In recent years, Neural Machine Translation (NMT) has achieved state-of-the art performance in translating from a language; source language, to another; target language. However, many of the proposed methods use word ...
    • CVentaur : Una aplicació web per a detecció d’objectes que aprèn de tu 

      Rodríguez Miret, Jan (Universitat Politècnica de Catalunya, 2020-07-13)
      Bachelor thesis
      Open Access
      Durant els darrers anys, el camp de la intel·ligència artificial i l’aprenentatge automàtic ha experimentat un creixement revolucionari gràcies als avenços en àrees com l’aprenentatge profund, i que han obert les portes a ...
    • Deep Learning Techinques for LDPC shortening 

      Auladell i Parellada, Pol (Universitat Politècnica de Catalunya, 2020-08-03)
      Bachelor thesis
      Open Access
      Covenantee:   Karlsruher Institut für Technologie
      The idea of this project is, using Deep Learning (DL) techniques, find a way to shorten a Low-Density Parity-Check (LDPC) code. This is possible since a Bipartite Graph has a similar structure to a artificial neuron system ...
    • Deep Tracking Blocker : detection of web tracking using machine learning 

      Sanz García, Rubén (Universitat Politècnica de Catalunya, 2021-04-25)
      Bachelor thesis
      Open Access
      Aquest treball pretén donar una visió general sobre la importància de la privacitat dels usuaris a Internet, els diferents mètodes de seguiment que existeixen i com poden protegir-nos, especialment centrant-nos en les ...
    • Design and implementation of a pipeline for fully autonomous driving systems 

      Conejo Barcelo, Carlos (Universitat Politècnica de Catalunya, 2021-04-08)
      Master thesis
      Open Access
      Covenantee:   École polytechnique fédérale de Lausanne
      Mobile robots are already playing a pivotal role in our society. New innovative systems are emerging, while autonomous driving’s software is evolving thanks to Deep Learning (DL). In our work, we propose a modular pipeline ...
    • Developement of an interactive tool for supervised classification training 

      Aydemir, Mehmet Alp (Universitat Politècnica de Catalunya, 2018-10-30)
      Master thesis
      Restricted access - author's decision
      In recent years, machine learning and computer vision are very cooperative technologies. Combining these two technologies provides learning algorithms in images and videos, and this provides automated extracting meaningful ...
    • Digitally stained confocal microscopy through deep learning 

      Combalia Escudero, Marc; Pérez Ankar, Javiera; García Herrera, Adriana; Alos, Llúcia; Vilaplana Besler, Verónica; Marqués Acosta, Fernando; Puig, Susana; Malvehy, Josep (Microtome Publishing, 2019)
      Conference report
      Open Access
      Specialists have used confocal microscopy in the ex-vivo modality to identify Basal Cell Carcinoma tumors with an overall sensitivity of 96.6% and specificity of 89.2% (Chung et al., 2004). However, this technology hasn’t ...
    • Disección y análisis del tráfico de red de Amazon Alexa 

      Barcelo Armada, Rubén (Universitat Politècnica de Catalunya, 2021-04-21)
      Bachelor thesis
      Open Access
      El número de dispositivos que conforman el Internet de las Cosas (IoT) no ha dejado de aumentar año tras año, incluyendo los altavoces inteligentes. En particular, estos dispositivos han adquirido una gran popularidad en ...
    • Double multi-head attention for speaker verification 

      India Massana, Miquel Àngel; Safari, Pooyan; Hernando Pericás, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      Most state-of-the-art Deep Learning systems for text-independent speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor front-end together with a ...