Sökning: "Risk classification model"

Visar resultat 1 - 5 av 50 uppsatser innehållade orden Risk classification model.

  1. 1. Chasing Sustainable Stocks: A Superior Investment Decision? - An ESG Investment Study

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Sebastian Johansson; Gustav Nilsson; [2019]
    Nyckelord :ESG; Socially Responsible Investing; Trading Strategy; Portfolio Performance;

    Sammanfattning : Sustainable investing is trending, amounting to $30 trillion in assets under management world-wide in 2018 and it is predicted to grow even larger in the years to come. This thesis studies ESG portfolio performance of three comparable portfolios, a Sustainable, a Good Enough and an Unsustainable portfolio constructed using ESG-score in relation to their Global Industrial Classification Standard (GICS), between 2004 - 2018 in the U. LÄS MER

  2. 2. Identification of Problem Gambling via Recurrent Neural Networks : Predicting self-exclusion due to problem gambling within the remote gambling sector by means of recurrent neural networks

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Måns Bermell; [2019]
    Nyckelord :LSTM; machine learning; online casino; problem gambling; recurrent neural network; time series;

    Sammanfattning : Under recent years the gambling industry has been moving towards providing their customer the possibility to gamble online instead of visiting a physical location. Aggressive marketing, fast growth and a multitude of actors within the market have resulted in a spike of customers who have developed a gambling problem. LÄS MER

  3. 3. Text feature mining using pre-trained word embeddings

    Master-uppsats, KTH/Matematisk statistik

    Författare :Henrik Sjökvist; [2018]
    Nyckelord :Word embeddings; Feature engineering; Unsupervised learning; Deep learning; fast Text; Operational risk; Ordvektorer; Attributgenerering; Oövervakat lärande; Djupinlärning; fastText; Operativ risk;

    Sammanfattning : This thesis explores a machine learning task where the data contains not only numerical features but also free-text features. In order to employ a supervised classifier and make predictions, the free-text features must be converted into numerical features.  In this thesis, an algorithm is developed to perform that conversion. LÄS MER

  4. 4. Risk Assessment based Data Augmentation for Robust Image Classification : using Convolutional Neural Network

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Harisubramanyabalaji Subramani Palanisamy; [2018]
    Nyckelord :Safety-Risk assessment; predictive augmentation; convolutional neural network; traffic sign classification; autonomous driving; heavy vehicles; orientation challenges; classification degradation.;

    Sammanfattning : Autonomous driving is increasingly popular among people and automotive industries in realizing their presence both in passenger and goods transportation. Safer autonomous navigation might be very challenging if there is a failure in sensing system. LÄS MER

  5. 5. Early detection and recommendation of higher precision in treatment of late blight in potato crops by using drone photos

    Master-uppsats, Lunds universitet/Riskhantering (CI)

    Författare :Anna Lindéus; [2018]
    Nyckelord :Bayesian network; Decision Support systems; Drone photo; Late blight; Potato; Precision Agriculture; Remote sensing; Risk classification model; Risk prediction; Technology and Engineering;

    Sammanfattning : In this thesis an evaluation was performed for the potential use of drone photos in Decision Support System (DSS) to detect outbreak of late blight and provide recommend treatment with fungicides. Late blight is a common crop infection on potato in Sweden. A DSS with and without information from drones were developed in three steps. LÄS MER