Sökning: "AE"

Visar resultat 21 - 25 av 78 uppsatser innehållade ordet AE.

  1. 21. 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

  3. 22. An exploratory machine learning workflow for the analysis of adverse events from clinical trials

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Margareta Carlerös; [2020-06-26]
    Nyckelord :Machine learning; Adverse events; Clinical trials; Data mining;

    Sammanfattning : A new pharmaceutical drug needs to be shown to be safe and effective before it can be used to treat patients. Adverse events (AEs) are potential side-effects that are recorded during clinical trials, in which a new drug is tested in humans, and may or may not be related to the drug under study. LÄS MER

  4. 23. 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

  5. 24. Production Accuracy in L2 English Checked Vowels: Cross-sectional Study of Czech Secondary and Post-Secondary School Students

    Kandidat-uppsats, Malmö universitet/Fakulteten för kultur och samhälle (KS)

    Författare :Petra Havlíková; [2020]
    Nyckelord :vowel; checked; acquisition; Czech; English; SSBE; phoneme; L1; L2;

    Sammanfattning : In Czechia, teaching L2 English pronunciation is underestimated, which might lead to potential production slips and affect the intelligibility of the learners. This study investigates accuracy in L2 English pronunciation of checked vowels (/ʌ, ɛ, ɪ, ɒ, ʊ, æ/) as produced by Czech students. LÄS MER

  7. 25. 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