Sökning: "F_SCORE"

Visar resultat 6 - 10 av 82 uppsatser innehållade ordet F_SCORE.

  1. 6. Detection of software incidents from large log material with the use of unsupervised machine learning

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

    Författare :DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Nyckelord :binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Sammanfattning : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. LÄS MER

  3. 7. Generating an information security classification model for satellite imagery and geographical information

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Marcus Elander; Philip Gunnarsson; [2022]
    Nyckelord :Information security; Machine learning; Satellite imagery; Classification; Risk;

    Sammanfattning : Throughout history, geographical information has been vital in different contexts, such as national security matters, economics, geopolitics, military, and natural resources. Due to the various applications, geographical information has been handled as valuable and sensitive information. LÄS MER

  4. 8. Machine learning and Neural networks in Fake news detection : A mapping study

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

    Författare :Theodor Kudryk; Astrid Lindh; [2022]
    Nyckelord :Fake news; Information disorder; Detection; Disinformation; Natural Lan-guage Processing; Machine Learning; Neural Networks; Fake news; Desinformation; Detektion; Natural Language Processing; Maskininlärning; Neurala Nätver;

    Sammanfattning : Fake news, or information disorder, is a societal problem that could be partially remedied by automatic detection tools. While still a young research field many such tools have been proposed in academic writing. LÄS MER

  5. 9. Exploring Machine Learning Solutions in the Context of OCR Post-Processing of Invoices

    Uppsats för yrkesexamina på grundnivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Dwyer; Sara Bertse; [2022]
    Nyckelord :Machine learning; Optical character recognition; BERT; Error detection; Invoice; Maskininläsning; Optisk teckenläsning; BERT; Feldetektering; Faktura;

    Sammanfattning : Large corporations receive and send large volumes of invoices containing various fields detailing a transaction. Such fields include VAT, due date, total amount, etc. One common way to automatize invoice processing is optical character recognition (OCR). This technology entails automatic reading of characters from scanned images. LÄS MER

  7. 10. Evaluating Feature Selection Methods for Automated Computer Based Diagnostics of Diabetes

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Erik Wachtmeister; Noel Karlsson Johansson; [2022]
    Nyckelord :;

    Sammanfattning : Diabetes affects roughly 8% of the world population over the age of 18 and causes approximately 5 million deaths for people over the age of 20 each year. Furthermore, maybe half of all people with diabetes are undiagnosed. They could be diagnosed with automated computer-based diagnostics, but machine learning has its challenges. LÄS MER