Sökning: "supervised learning techniques"

Visar resultat 1 - 5 av 139 uppsatser innehållade orden supervised learning techniques.

  1. 1. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Markus Jonsson; [2024]
    Nyckelord :Self-supervised learning; Representation learning; Computer vision;

    Sammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER

  3. 2. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  4. 3. Information Extraction for Test Identification in Repair Reports in the Automotive Domain

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Huang Jie; [2023]
    Nyckelord :text classification; information retrieval; contrastive learning; prompt-based fine-tuning; large language models;

    Sammanfattning : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. LÄS MER

  5. 4. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

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

    Författare :Amanda Strömdahl; [2023]
    Nyckelord :Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

    Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER

  7. 5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    Master-uppsats, KTH/Kemi

    Författare :Julia Rune; [2023]
    Nyckelord :Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Sammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER