Sökning: "Andreas Ericsson"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Andreas Ericsson.

1. 1. Webbapplikation för filtrering och visualisering av data : utvecklad med Pythonramverket Dash

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Andreas Blomqvist; William de Brun Mangs; Tobias Elfstrand; David Grahn; Hampus Holm; Axel Matstoms; Jamie Mersh; Robin Ngo; Christopher Wåtz; [2023]
   Nyckelord :Python; dash; web development; database; mongoDB; visualization; test driven development; continuous integration; Python; dash; webbutveckling; databas; mongoDB; visualisering; testdriven utveckling; kontinuerlig integrering;

   Sammanfattning : Denna rapport behandlar skapandet av en webbapplikation för filtreraring och visualisering av data i Pythonramverket Dash. Rapporten ger en översikt av gruppens arbetsmetodik och projektets utveckling. LÄS MER

3. 2. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

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

   Författare :Andreas Ericsson; [2023]
   Nyckelord :Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

   Sammanfattning : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. LÄS MER

4. 3. Convolutional Neural Networks for Classification of Metastatic Tissue in Lymph Nodes : How Does Cutout Affect the Performance of Convolutional Neural Networks for Biomedical Image Classification?

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

   Författare :Andreas Ericsson; Filip Döringer Kana; [2021]
   Nyckelord :Convolutional neural network; CNN; breast cancer; computer aided diagnostics; data augmentation;

   Sammanfattning : One of every eight women will in their lifetime suffer from breast cancer, making it the most common type of cancer for women. A successful treatment is very much dependent on identifying metastatic tissue which is cancer found beyond the initial tumour. Using deep learning within biomedical analysis has become an effective approach. LÄS MER

5. 4. Gamification in knowledge management: How to score intrinsically in the game of motivation

   Master-uppsats, Lunds universitet/Innovationsteknik

   Författare :Andreas Sjöblom; Axel Avenberg; [2018]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Gamification is an increasingly common motivational tool, and knowledge management is rising to become an important part of strategies in knowledge intensive organizations. The academic infancy of gamification and the relatively young field of knowledge management provide ample opportunities for novel research. LÄS MER

7. 5. Self Service Business Intelligence Design : Guidelines for Designing a Customizable Qlik Sense Application

   Kandidat-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Författare :Andreas Hahr; Ludvig Åberg; [2016]
   Nyckelord :Qlik Sense; Business Intelligence; Self-service Business Intelligence; Data visualization; Data Discovery; Business Discovery; Guidelines; Qlik Sense; Business Intelligence; Self-service Business Intelligence; Datavisualisering; Data Discovery; Business Discovery; Riktlinjer;

   Sammanfattning : With the increasing amount of valuable data that companies have access to the need for tools visualizing this data have reached a wider group of users, many of which are not tech-savvy. Self-service Business Intelligence applications aim to meet this need and many guidelines regarding the general design of Business Intelligence have been produced in recent years. LÄS MER