Sökning: "deep learning"

Visar resultat 1 - 5 av 546 uppsatser innehållade orden deep learning.

  1. 1. Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Fionn Delahunty; [2019-10-04]
    Nyckelord :Clinical Psychology; Medicine; Depression; Anxiety; Psycholinguistics; Multidimensional Deep Learning; Dialogue systems; Empathy;

    Sammanfattning : Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. Current screening methods require individuals to manually complete psychometric questionnaires. LÄS MER

  3. 2. Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Samir Khays; [2019]
    Nyckelord :;

    Sammanfattning : Anticipating the future positions of the surrounding vehicles is a crucial task foran autonomous vehicle in order to drive safely. To foresee complex manoeuvresfor longer time horizons, a framework that relies on high-level properties ofmotion and is able to incorporate, e.g. contextual features, is needed. LÄS MER

  4. 3. Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Per Wilhelmsson; [2019]
    Nyckelord :Clustering; Deep Learning; Machine Learning; Time Series; Variational Autoencoders; Gaussian Mixture Models; Mathematics and Statistics;

    Sammanfattning : This thesis proposes a hierarchical clustering algorithm for time series, comprised of a variational autoencoder to compress the series and a Gaussian mixture model to merge them into an appropriate cluster hierarchy. This approach is motivated by the autoencoders good results in dimensionality reduction tasks and by the likelihood framework given by the Gaussian mixture model. LÄS MER

  5. 4. Malignant Melanoma Classification with Deep Learning

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Jakob Kisselgof; [2019]
    Nyckelord :Melanoma classification deep learning;

    Sammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER

  7. 5. Classification of High Risk Prostate Cancer using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Elin Olofsson; [2019]
    Nyckelord :Prostate Cancer; CNN; Deep Learning; PRIAS; Active Surveillance; Digital Pathology; Mathematics and Statistics;

    Sammanfattning : Prostate cancer is one of the most common types of cancer for men, making proper diagnostic essential. Using machine learning as a tool to help in digital pathology has become increasingly popular and helps to limit the high intra observer variability between pathologists. LÄS MER