Sökning: "ensemble learning"

Visar resultat 26 - 30 av 218 uppsatser innehållade orden ensemble learning.

  1. 26. A Hybrid Approach to Hate Speech Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Rickardsson; [2023]
    Nyckelord :;

    Sammanfattning : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. LÄS MER

  3. 27. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Adam Hjalmarsson; Leon Ericsson; [2023]
    Nyckelord :4D Flow MRI; Ensemble learning; Super-resolution; Machine learning; Neural networks; 4DFlowNet;

    Sammanfattning : 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone analysis method, 4D Flow MRI has certain limitations including limited spatial resolution and noise artefacts, motivating the application of dedicated post-processing tools. LÄS MER

  4. 28. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  5. 29. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

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

    Författare :Isac Lorentz; [2023]
    Nyckelord :Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER

  7. 30. Uncertainty Estimation in Volumetric Image Segmentation

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

    Författare :Donggyun Park; [2023]
    Nyckelord :Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

    Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER