Essays about: "översampling"

Showing result 1 - 5 of 11 essays containing the word översampling.

  1. 1. Machine Learning for Improving Detection of Cooling Complications : A case study

    University essay from KTH/Industriell produktion

    Author : William Bruksås Nybjörk; [2022]
    Keywords : Temperature controllable containers; Machine Learning; imbalanced data; data analysis; noisy labels; feature engineering; threshold tuning;

    Abstract : The growing market for cold chain pharmaceuticals requires reliable and flexible logistics solutions that ensure the quality of the drugs. These pharmaceuticals must maintain cool to retain the function and effect. Therefore, it is of greatest concern to keep these drugs within the specified temperature interval. READ MORE

  3. 2. Evaluation of Oversampling Methods For Artificial Neural Network Classification of Lung Cancer

    University essay from KTH/Datavetenskap

    Author : Alexander Söderhäll; David Cederström; [2022]
    Keywords : ;

    Abstract : New methods of assessing lung cancer (LC) risk is being researched. Gregory R. Hart et. al [15] developed an artificial neural network (ANN) that used many features related to LC risk. READ MORE

  4. 3. Tackling imbalanced data in Random Forest to predict free-to-fee transitions of a subscription SaaS-application

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anna Karlhede; [2020]
    Keywords : ;

    Abstract : In this thesis we investigate different methods to tackle imbalanced data when using Random Forest for classification. The data comes from a subscription SaaS-application, namely Mentimeter, which allows users to create interactive presentations. READ MORE

  5. 4. Classification of post-wildfire aerial imagery using convolutional neural networks : A study of machine learning and resampling techniques to assist post-wildfire efforts

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustave Rousselet; [2019]
    Keywords : ;

    Abstract : Assessment of post-wildfire damages to human structures is a manual task which currently uses ground-level observations of the structures by a human inspector to classify the burn severity of the affected structure. This study investigated the potential of using machine learning and specifically computer vision techniques in order to produce a classification of burn severity using post-wildfire aerial imagery. READ MORE

  6. 5. Using Deep Learning to Answer Visual Questions from Blind People

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Denis Dushi; [2019]
    Keywords : Visual Question Answering; VizWiz; Deep Learning.;

    Abstract : A natural application of artificial intelligence is to help blind people overcome their daily visual challenges through AI-based assistive technologies. In this regard, one of the most promising tasks is Visual Question Answering (VQA): the model is presented with an image and a question about this image. It must then predict the correct answer. READ MORE