Search for dissertations about: "Information and software visualization"

Showing result 11 - 15 of 70 swedish dissertations containing the words Information and software visualization.

2. 11. Visualization of Causal Relations

   Author : Niklas Elmqvist; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; information visualization; causality visualization; citation network visualization; causal relations;

   Abstract : The notion of cause and effect is pervasive in human thinking and plays a significant role in our perception of time. Software systems, in particular parallel and distributed ones, are permeated by this causality, and the human mind is especially well-suited to detect instances of this concept. READ MORE

4. 12. Image analysis and interactive visualization techniques for electron microscopy tomograms

   Author : Lennart Svensson; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Images are an important data source in modern science and engineering. A continued challenge is to perform measurements on and extract useful information from the image data, i.e., to perform image analysis. READ MORE

5. 13. 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

6. 14. Social and Organizational Aspects of Requirements Engineering Methods

   Author : C. G. Mikael Johansson; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Improving requirements engineering has been recognized as critical for the 1990s. Reported differences in theoretical reasoning vs. the practice of how methods are used suggest a need for further research. A way to proceed is to investigate how real-life system design situations can be supported the best way. READ MORE

7. 15. Computer-­Assisted  Coronary  CT  Angiography  Analysis : From  Software  Development  to  Clinical  Application

   Author : Chunliang Wang; Örjan Smedby; Anders Persson; Hans Frimmel; Evert-jan Vonken; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Vessel segmentation; coronary CTA; fuzzy connectedness; level set; coronary artery disease; Image analysis; Bildanalys; Radiological research; Radiologisk forskning;

   Abstract : Advances in coronary Computed Tomography Angiography (CTA) have resulted in a boost in the use of this new technique in recent years, creating a challenge for radiologists due to the increasing number of exams and the large amount of data for each patient. The main goal of this study was to develop a computer tool to facilitate coronary CTA analysis by combining knowledge of medicine and image processing, and to evaluate the performance in clinical settings. READ MORE