Sökning: "Generative testing"

Visar resultat 6 - 10 av 23 uppsatser innehållade orden Generative testing.

  1. 6. Co-creating Futures for Integrating Generative AI into the Designers’ Workflow

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

    Författare :Victoria Popova; [2023]
    Nyckelord :Generative AI; Co-design; Design fiction; HCI research; Generativ AI; Co-design; Designfiktion; MDI-forskning;

    Sammanfattning : In recent years Generative AI tools have become increasingly ubiquitous and have given rise to much discussion concerning their impact on jobs, both in personal use and corporate settings. Despite Generative AI being a rapidly growing field, there is currently an existing research gap regarding the adoption of these tools across different domains. LÄS MER

  3. 7. Playstyle Generation with Multimodal Generative Adversarial Imitation Learning : Style-reward from Human Demonstration for Playtesting Agents

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

    Författare :William Ahlberg; [2023]
    Nyckelord :Imitation Learning; Reinforcement Learning; Game-testing; Imitationsinlärning; Förstärkande inlärning; Speltestning;

    Sammanfattning : Playtesting plays a crucial role in video game production. The presence of gameplay issues and faulty design choices can be of great detriment to the overall player experience. LÄS MER

  4. 8. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Jonas Gustafsson; Conrad Jonsson; [2023]
    Nyckelord :Machine Learning; Generative Adversarial Network GAN ; Wasserstein Generative Adversarial Network WGAN ; Scenario Generation; Stress Testing; Central Counterparty Clearing;

    Sammanfattning : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. LÄS MER

  5. 9. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :William Nord-Nilsson; [2023]
    Nyckelord :Extreme Value Theory; Generative Adversarial Networks; Stress Testing; Machine Learning; Convolutional Neural Networks; evtGAN; Extreme Events; Extremvärdesteori; Generativa nätverk; Stresstestning; Maskininlärning; Djupt neuralt nätverk; evtGAN; Extrema händelser;

    Sammanfattning : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. LÄS MER

  7. 10. Reliable Web Applications Through Contracts and Generative Testing

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

    Författare :Fredrik Hallsmar; [2022]
    Nyckelord :Web applications; Design by contract; Generative testing; Reliability; Clojure; Webbapplikationer; Kontrakt; Automatisk testning; Pålitlighet; Clojure;

    Sammanfattning : Client-side web applications have recently gone from progressive enhancements to powering large scale Single-page Applications (SPAs). Testing such applications is a tedious effort, often requiring manually constructing tests and emulating the browser, which leads to high programming effort and low performance. LÄS MER