Sökning: "AUC"

Visar resultat 21 - 25 av 210 uppsatser innehållade ordet AUC.

  1. 21. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oskar Ahlqvist; [2023]
    Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

    Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

  3. 22. Hur påverkar vallfodrets sockerinnehåll insulinresponsen hos EMS-hästar behandlade med en SGLT2-hämmare?

    Master-uppsats, SLU/Dept. of Clinical Sciences

    Författare :Karolina Pålsson; [2023]
    Nyckelord :antidiabetikum; ekvint metabolt syndrom; häst; insulindysreglering; lättlösliga kolhydrater;

    Sammanfattning : Ekvint metabolt syndrom (EMS) är ett sjukdomskomplex som kan skapa stora hälsoproblem för drabbade hästar. Tre huvudsakliga komponenter ingår i EMS: insulindysreglering (ID), fetma (generell eller regional) samt insulinorsakad fång/ökad risk för insulinorsakad fång. LÄS MER

  4. 23. Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Jaya Shankar Bandaru; Sai Keerthi Appili; [2023]
    Nyckelord :Sustainable Recipe Recommendation; Recommendation System; GPT-embeddings; PinSage; Factorization Machines;

    Sammanfattning : Background: The demand for a sustainable lifestyle is increasing due to the need to tackle rapid climate change. One-third of carbon emissions come from the food industry; reducing emissions from this industry is crucial when fighting climate change. LÄS MER

  5. 24. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

    Författare :Gustaf Halvardsson; [2023]
    Nyckelord :Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

    Sammanfattning : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). LÄS MER

  7. 25. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :M Asjid Tanveer; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. LÄS MER