Sökning: "Peltarion"

Hittade 4 uppsatser innehållade ordet Peltarion.

  1. 1. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

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

    Författare :Márk Bereczki; [2021]
    Nyckelord :Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

    Sammanfattning : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. LÄS MER

  3. 2. Large-Context Question Answering with Cross-Lingual Transfer

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Markus Sagen; [2021]
    Nyckelord :Long-Context Multilingual Model; Longformer XLM-R; Longformer; Long-term Context; Extending Context; Extend Context; Large-Context; Long-Context; Large Context; Long Context; Cross-Lingual; Multi-Lingual; Cross Lingual; Multi Lingual; QA; Question-Answering; Question Answering; Transformer model; Machine Learning; Transfer Learning; SQuAD; Memory; Transfer Learning; Long-Context; Long Context; Efficient; Monolingual; Multilingual; QA model; Language Model; Huggingface; BERT; RoBERTa; XLM-R; mBERT; Multilingual BERT; Efficient Transformers; Reformer; Linformer; Performer; Transformer-XL; Wikitext-103; TriviaQA; HotpotQA; WikiHopQA; VINNOVA; Peltarion; AI; LM; MLM; Deep Learning; Natural Language Processing; NLP; Attention; Transformers; Transfer Learning; Datasets;

    Sammanfattning : Models based around the transformer architecture have become one of the most prominent for solving a multitude of natural language processing (NLP)tasks since its introduction in 2017. However, much research related to the transformer model has focused primarily on achieving high performance and many problems remain unsolved. LÄS MER

  4. 3. Semi-Supervised Medical Image Segmentation with Equivariance Regularization

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Gustav Schölin; [2020]
    Nyckelord :Semi-Supervised Learning; Semantic Segmentation; Brain Tumor Segmentation; MRI; AI; Artificial Intelligence; BRATS 2019; Deep Learning; Computer Vision; Machine Learning; Peltarion AB; Mathematics and Statistics;

    Sammanfattning : The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. LÄS MER

  5. 4. Using Fetal Myocardial Velocity Recordings to Evaluate an AI Platform to Predict High-risk Deliveries

    Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Hanna Baban; Olivia Grauning; [2019]
    Nyckelord :;

    Sammanfattning : Diagnosing abnormal fetal cardiac function using ultrasound is a complicated procedure which makes it difficult to obtain high quality results from ultrasound examinations that are performed shortly before delivery. Color tissue Doppler imaging (cTDI) is the echocardiographic technique that has been used to obtain the data for this project. LÄS MER