Browsing by Subject "Aprenentatge automàtic"
Now showing items 21-40 of 1207
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A Generative Dialogue System for Reminiscence Therapy
(Universitat Politècnica de Catalunya, 2019-09)
Master thesis
Open AccessWith 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 highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL
(Elsevier, 2020-03-01)
Article
Open AccessConditional 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
(Universitat Politècnica de Catalunya, 2019-04-24)
Master thesis
Open AccessThe 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 learning system for adjustment processes based on human sensory perceptions
(2018-12-01)
Article
Open AccessCreating, 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
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessSensing 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 lower bound for learning distributions generated by probabilistic automata
(Springer, 2010)
Conference report
Open AccessKnown 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. ... -
A machine learning approach for layout inference in spreadsheets
(SciTePress, 2016)
Conference report
Open AccessSpreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ... -
A machine learning approach to calculate the dropout risk factor in a children's programming school
(Universitat Politècnica de Catalunya, 2019-01-29)
Bachelor thesis
Restricted access - confidentiality agreement -
A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry
(OmniaScience, 2021)
Article
Open AccessPurpose: The main purpose of this paper is to propose a methodological approach and a decision support tool, based on prescriptive analytics, to enable bulk ordering of spare parts for shipping companies operating fleets ... -
A machine learning approach to predicting a basketball game outcome
(Universitat Politècnica de Catalunya, 2019-10-25)
Bachelor thesis
Restricted access - author's decision
Covenantee: Sveučilište u Zagrebu -
A machine learning approach to stock screening with fundamental analysis
(Universitat Politècnica de Catalunya, 2019-04-15)
Master thesis
Open AccessWe present HPC.FASSR, a High-Performance Computation Fundamental Analysis Stock Screener and Ranker to compare many ML models and the criteria of famous Benjamin Graham for stock investing using fundamental data. FASSR is ... -
A machine learning approach to the identification of encrypted web traffic
(Universitat Politècnica de Catalunya, 2017-06-29)
Bachelor thesis
Restricted access - confidentiality agreement -
A machine learning enabled network planning tool
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyIn the coming years, planning future mobile networks will be infinitely more complex than nowadays. Future networks are expected to present multiple Network Management (NM) challenges to operators, such as managing network ... -
A machine learning methodology for structural damage classification in structural health monitoring
(2017)
Conference report
Restricted access - publisher's policyOne of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ... -
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
(I6doc.com, 2016)
Conference report
Open AccessMachine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ... -
A machine learning workflow for hurricane prediction
(Barcelona Supercomputing Center, 2018-04-24)
Conference report
Open Access -
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Open AccessAlgorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ... -
A methodology to generate design allowables of composite laminates using machine learning
(2021-12)
Article
Restricted access - publisher's policyThis work represents the first step towards the application of machine learning techniques in the prediction of statistical design allowables of composite laminates. Building on data generated analytically, four machine ... -
A mobile network planning tool based on data analytics
(HINDAWI, 2017-02-05)
Article
Open AccessPlanning future mobile networks entails multiple challenges due to the high complexity of the network to be managed. Beyond 4G and 5G networks are expected to be characterized by a high densification of nodes and heterogeneity ... -
A multi-armed bandit model for wireless network selection
(Universitat Politècnica de Catalunya, 2021-07-06)
Bachelor thesis
Open AccessThe number of networks and technologies such as 5G have been rapidly increasing in the last years. With this growth in number it has become more relevant to be able to select the best network with the goal of maximizing ...
