Enviaments recents

  • Spatial networks, thresholded random geometric graphs, and applications in electric vehicle infrastructure networks 

    Maclean, Cole (Universitat Politécnica de Catalunya, 2017-06-16)
    Projecte Final de Màster Oficial
    Accés obert
    In this paper, we explore the recent advances in Spatial Network modeling and provide 3 main contributions: 1. A new classification of existing Spatial Network models 2. The introduction of a new Spatial Network model and ...
  • Multiple sclerosis lesion segmentation using deep learning 

    Kazancli, Erol (Universitat Politécnica de Catalunya, 2017-06-27)
    Projecte Final de Màster Oficial
    Accés restringit per acord de confidencialitat
  • Feature extraction and classification on Time Series 

    Méndez Pérez, Miguel (Universitat Politécnica de Catalunya, 2017-06-29)
    Projecte Final de Màster Oficial
    Accés obert
    Realitzat a/amb:  Purdue University
    Time is involved in almost every scienti c eld one can think on. Observations of a phenomena are collected with the aim of study or explain its behavior. This collections lead to organized data called time series. Data ...
  • Market Basket analysis in Retail 

    Reig Grau, Gerard (Universitat Politècnica de Catalunya, 2017-05)
    Projecte Final de Màster Oficial
    Accés obert
    This Master Thesis memory describes a full end-to-end data science project performed in CleverData, a successful start-up specialized in data mining techniques and analytics tools. This project was performed for one of ...
  • Protein classification from primary structures in the context of database biocuration 

    Terpugova, Ilmira (Universitat Politècnica de Catalunya, 2017-04)
    Projecte Final de Màster Oficial
    Accés obert
    The problem of automatic protein classification using only their primary structures plays an important role in modern bioinformatics research, especially for proteins whose 3-D structures are yet unknown. One of these ...
  • Improving object detection by exploiting semantic relations between objects 

    Petrov, Yordan (Universitat Politècnica de Catalunya, 2017-05)
    Projecte Final de Màster Oficial
    Accés obert
    Object detection is a fundamental and challenging problem in computer vision. Detecting the objects visible in an image can give us a good understanding and description of the image. The extracted information can later ...
  • Deep Learning on medical images image captioning on X-rays 

    Schwall, Immanuel Parzival (Universitat Politècnica de Catalunya, 2017-02-28)
    Projecte Final de Màster Oficial
    Accés restringit per acord de confidencialitat
    Realitzat a/amb:  Eidgenössische technische Hochschule Zürich
  • Applying deep-learning techniques to detect freezing of gait episodes in Parkinson's disease patients 

    Camps Sereix, Julià (Universitat Politècnica de Catalunya, 2017-04-28)
    Projecte Final de Màster Oficial
    Accés restringit per acord de confidencialitat
  • First-person activity recognition: how to generalize to unseen users? 

    Mollova, Emanuela (Universitat Politècnica de Catalunya, 2017)
    Projecte Final de Màster Oficial
    Accés obert
    Recent advances in wearable technology, accompanied by the decreasing cost of data storage and increase of data availability have made possible to take pictures everywhere at every time. Wearable cameras are nowadays ...
  • Food related scene recognition in egocentric images 

    Leyva Vallina, María (Universitat Politècnica de Catalunya, 2017)
    Projecte Final de Màster Oficial
    Accés obert
    Lifelogging is a raising field nowadays with the normalization of many devices that collect data from our daily routines. Egocentric cameras are particularly interesting devices that allow us to capture very rich ...
  • Comparison of motion-based approaches for multi-modal action and gesture recognition from RGB-D 

    Bertiche Argila, Hugo (Universitat Politècnica de Catalunya, 2017-05)
    Projecte Final de Màster Oficial
    Accés obert
    Automatic action and gesture recognition research field has growth in interest over the last few years. Action recognition can be understood as the automatic classification of generic human actions or activities, such ...
  • Coverage model for character-based neural machine translation 

    Kazimi, Mohammad Bashir (Universitat Politècnica de Catalunya, 2017-05)
    Projecte Final de Màster Oficial
    Accés obert
    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 ...

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