Sökning: "Saliency Maps"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Saliency Maps.

  1. 1. PVCFA: Principal Variation Context Feature Attribution : Distributed Chess for Perturbation-based Saliency Maps

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

    Författare :Marco Molinari; [2023]
    Nyckelord :Chess; Perturbation; Saliency maps; Multiagent; Reinforcement Learning; Schack; Perturbation; Saliency maps; Multiagent; Reinforcement Learning;

    Sammanfattning : The research and development field of computer chess improved more in the last 5 years than in the whole history of computers. Unfortunately these unprecedented results comes with techniques that don’t leave much space to intuition and comprehensibility for humans. LÄS MER

  3. 2. Saliency driven lossy image compression using machine learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sebastian Fällman; [2023]
    Nyckelord :machine learning; image compression;

    Sammanfattning : Since the introduction of digital media for consumers in the 1990s, the amount of images used in everyday life has grown exponentially. All these images need to be stored and broadcasted from some storage device, which has been made possible with the use of image compression algorithms such as JPG. LÄS MER

  4. 3. Tailored Deep Degression for use on MRI-Scan Analysis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Filip Marttala; [2022]
    Nyckelord :MRI; UK Biobank; Age Prediction; Liver Fat Prediction;

    Sammanfattning : UK Biobank is a British clinical study containing over 40 000 Magnetic Resonance Images (MRI) with 100 000 MRI planned of participants aged 44-82 as well as a large amount of related medical data. Analyzing these images with a neural network to find relations between the information in an MRI image and various medical data could lead to interesting medical revelations. LÄS MER

  5. 4. Comparing Human Reasoning and Explainable AI

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Carl Johan Helgstrand; Niklas Hultin; [2022]
    Nyckelord :Explainable AI; XAI; Visual Explanations; Saliency Maps; Artificial Intelligence;

    Sammanfattning : Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box nature of many of today’s machine learning models. As society finds new ways of applying these models in everyday life, certain risk thresholds are crossed when society replaces human decision making with autonomous systems. LÄS MER

  7. 5. Zero/Few-Shot Text Classification : A Study of Practical Aspects and Applications

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

    Författare :Jacob Åslund; [2021]
    Nyckelord :zero-shot learning; few-shot learning; text classification; active learning; automated data labeling; interpretable machine learning; deep learning; NLP; NLU; zero-shot learning; few-shot learning; textklassificering; aktiv inlärning; automatiserad datamärkning; tolkningsbar maskininlärning; djupinlärning; NLP; NLU;

    Sammanfattning : SOTA language models have demonstrated remarkable capabilities in tackling NLP tasks they have not been explicitly trained on – given a few demonstrations of the task (few-shot learning), or even none at all (zero-shot learning). The purpose of this Master’s thesis has been to investigate practical aspects and potential applications of zero/few-shot learning in the context of text classification. LÄS MER