Sökning: "Autoencoder AE"

Hittade 5 uppsatser innehållade orden Autoencoder AE.

  1. 1. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

  3. 2. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Anton Hansson; Hugo Cedervall; [2022]
    Nyckelord :Insurance Fraud Detection; Anomaly Detection; Long Short-Term Memory Networks LSTM ; Unsupervised Learning; Autoencoder AE ; Variational Autoencoder VAE ; Interpretable Machine Learning; Feature Engineering; Feature Selection; Feature Importance;

    Sammanfattning : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. LÄS MER

  4. 3. Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning

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

    Författare :Lucas Höglund; [2021]
    Nyckelord :Autoencoder; Clustering; Eye tracking; Feature extraction; Feature selection; Machine learning; Parkinson’s disease.; Autokodare; Klustring; Blickspårning; Särdragsextraktion; Särdragsidentifikation; Maskininlärning; Parkinsons sjukdom.;

    Sammanfattning : Parkinson’s disease is a brain disorder associated with reduced dopamine levels in the brain, affecting cognition and motor control in the human brain. One of the motor controls that can be affected is eye movements and can therefore be critically affected in patients with Parkinson’s disease. LÄS MER

  5. 4. Feature Extraction and Classification of Medication-Induced Hyperkinesia During Treatment of Parkinson's Disease

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Erik Liljeroth; [2020]
    Nyckelord :Parkinson s disease; neural network; autoencoder; classification; feature extraction; Mathematics and Statistics;

    Sammanfattning : The recent progress in wearable sensor technology, signal processing and machine learning enables novel applications in fields such as automatic disease symptom tracking and classification. In this project, data from an ongoing Parkinson’s disease study at the Lund University Hospital is gathered and analyzed, and classification models of varying complexity for symptom severity are evaluated. LÄS MER

  7. 5. On the effectiveness of ß-VAEs for imageclassification and clustering : Using a disentangled representation for Transfer Learning and Semi-Supervised Learning

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

    Författare :Vittorio Maria Enrico Denti; [2020]
    Nyckelord :;

    Sammanfattning : Data labeling is a critical and costly process, thus accessing large amounts of labeled data is not always feasible. Transfer Learning (TL) and Semi-Supervised Learning (SSL) are two promising approaches to leverage both labeled and unlabeled samples. LÄS MER