Sökning: "Self-learning"

Visar resultat 1 - 5 av 40 uppsatser innehållade ordet Self-learning.

1. 1. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

   Författare :Côme Lassarat; [2023]
   Nyckelord :Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

   Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER

3. 2. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

   Författare :Philip MacCormack; [2023]
   Nyckelord :handwritten text recognition; machine learning; bayesian optimisation; image analysis; segmentation; alignment;

   Sammanfattning : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. LÄS MER

4. 3. Real-time Unsupervised Domain Adaptation

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

   Författare :Marc Botet Colomer; [2023]
   Nyckelord :Unsupervised Domain Adaptation; Real-Time applications; Online Learning; Self-Learning; Semantic Segmentation; Reinforcement Learning; Oövervakad domänanpassning; Realtidsapplikationer; Onlineinlärning; Självinlärning; Semantisk Segmentering; Förstärkningsinlärning;

   Sammanfattning : Machine learning systems have been demonstrated to be highly effective in various fields, such as in vision tasks for autonomous driving. However, the deployment of these systems poses a significant challenge in terms of ensuring their reliability and safety in diverse and dynamic environments. LÄS MER

5. 4. Lights, Camera, BERT! : Autonomizing the Process of Reading andInterpreting Swedish Film Scripts

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Leon Henzel; [2023]
   Nyckelord :NLP; Active Learning; Transformers; BERT;

   Sammanfattning : In this thesis, the autonomization of extracting information from PDFs of Swedish film scriptsthrough various machine learning techniques and named entity recognition (NER) is explored.Furthermore, it is explored if labeled data needed for the NER tasks can be reduced to some degreewith the goal of saving time. LÄS MER

7. 5. Digital arbetsmiljö ut ett medarbetarperspektiv : En kvalitativ studie kring hur medarbetare upplever digital arbetsmiljö och hur de hanterar svårigheterna

   Kandidat-uppsats, Linköpings universitet/Informationssystem och digitalisering; Linköpings universitet/Filosofiska fakulteten

   Författare :Hanna Hagström; Majda Lelic Hussaini; [2023]
   Nyckelord :Digital work environment; cognitive work environment; employee experience; handling methods; Digital arbetsmiljö; kognitiv arbetsmiljö; medarbetarupplevelse; hanteringsmetoder;

   Sammanfattning : Dagens samhälle präglas av digital utveckling och digitalisering inom flera områden. Detta medför att allt fler organisationer digitaliserar sin verksamhet och användningen av IT-system inom organisationen ökar. LÄS MER