Search for dissertations about: "Informations- och programvisualisering"

Showing result 1 - 5 of 9 swedish dissertations containing the words Informations- och programvisualisering.

  2. 1. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution

    Author : Sebastian Hönel; Morgan Ericsson; Welf Löwe; Anna Wingkvist; Miroslaw Staron; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Software Size; Software Metrics; Commit Classification; Maintenance Activities; Software Quality; Process Quality; Project Management; Organizational Learning; Machine Learning; Visualization; Optimization; Software Technology; Programvaruteknik; Informations- och programvisualisering; Information and software visualization; Computer Science; Datavetenskap; Statistics Econometrics; Statistik;

    Abstract : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. READ MORE

  4. 2. Guided Interaction and Collaborative Exploration in Heterogeneous Network Visualizations

    Author : Björn Zimmer; Andreas Kerren; Hans-Jörg Schulz; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Information Visualization; Multivariate Networks; Visual Analytics; Exploration; Interaction; Collaboration; Provenance; Guidance; Informations- och programvisualisering; Information and software visualization;

    Abstract : The visual exploration of large and complex network structures remains a challenge for many application fields, such as systems biology or social sciences. Often, various domain experts would like to work together to improve the analysis time or the quality of the analysis results. READ MORE

  5. 3. Towards the Visualization of Multivariate Biochemical Networks

    Author : Ilir Jusufi; Andreas Kerren; Heidrun Schumann; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information Visualization; Biological Networks; Multivariate Networks; Biological Visualization; Computer Science; Datavetenskap; Information and software visualization; Informations- och programvisualisering;

    Abstract :  Many open challenges exist when dealing with different biological networks. They are crucial for the understanding of living beings. Complete drawings of these typically large networks usually suffer from clutter and visual overload. In order to overcome this issue, the networks are divided into single, hierarchically structured pathways. READ MORE

  6. 4. Visual Analytics for Explainable and Trustworthy Machine Learning

    Author : Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE

  7. 5. Sentiment and Stance Visualization of Textual Data for Social Media

    Author : Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

    Abstract : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. READ MORE