Sökning: "Auto-encoder decoder"

Hittade 3 uppsatser innehållade orden Auto-encoder decoder.

  1. 1. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications

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

    Författare :Lingxiao Wang; [2023]
    Nyckelord :Fraud detection; Anomaly detection; Machine learning; Bedrägeriupptäckt; Anomalidetektering; Maskininlärning;

    Sammanfattning : In this paper, we compare the performance of two methods to find the attempts at fraud from the data provided by Sinch (formerly CLX Communications, which is a telecommunications and cloud communications platform as a service (PaaS) company). We consider the problem as finding the anomaly in a time series signal, where we ignore the duration of a single call or other features and only care about the total volume of calls in a certain period. LÄS MER

  3. 2. Analysis of Transactional Data with Long Short-Term Memory Recurrent Neural Networks

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

    Författare :Sabeen Nawaz; [2020]
    Nyckelord :LSTM; Auto-encoder decoder; anomaly detection; K-means; clustering; Principal Component Analysis;

    Sammanfattning : An issue authorities and banks face is fraud related to payments and transactions where huge monetary losses occur to a party or where money laundering schemes are carried out. Previous work in the field of machine learning for fraud detection has addressed the issue as a supervised learning problem. LÄS MER

  4. 3. Augmenting High-Dimensional Data with Deep Generative Models

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Mårten Nilsson; [2018]
    Nyckelord :GAN; GANs; machine learning; deep learning; generative model; generative models; deep generative model; deep generative models; generative adversarial networks; VAE; VAEs; variational autoencoder; variational autoencoders; autoencoder; auto encoder; encoder; decoder; computer vision; eye tracking; pupil localization; pupil; eyes; eye; synthetic data; big data; data generation; synthetic data generation; neural networks; neural network; high-dimensional data; high-resolution images.;

    Sammanfattning : Data augmentation is a technique that can be performed in various ways to improve the training of discriminative models. The recent developments in deep generative models offer new ways of augmenting existing data sets. LÄS MER