The ISOVIS research group at Linnaeus University mainly focuses on the explorative analysis and visualization of typically large and complex information spaces
VA+Embeddings Browser, our visual survey of the use of embedding approaches in visual analytics, is now publicly available online:
https://t.co/dEvhbhWt0L
The respective survey article (state-of-the-art report) will be presented at the STAR track of EuroVis 2023.
We are conducting interviews to evaluate a visual analytics tool for explaining the behavior of complex ML models.
If you are familiar with machine learning, we would be really thankful if you could participate!
Please fill out this form. Thank you! https://t.co/hmcrEWwLG3
We have made available as arXiv pre-prints two articles that complement our research in hybrid asymmetric collaboration within Immersive Analytics. 1/4
We have an open position for permanent employment as a Research Engineer in Information Visualization for the InfraVis project (PhD degree required)! Application deadline: June 8. https://t.co/hH5hIphZ2v
On Thursday, May 19, 2022, Daniel Witschard will defend his PhL (Licentiate) thesis in Computer Science titled Towards Multiple Embeddings for Multivariate Network Analysis: https://t.co/EyFQgT7RK4
Last week, the ISOVIS group members (as well as some of our alumni and collaborators) participated in Dagstuhl Seminar 22191 on Visual Text Analytics (with Prof. Kerren serving as one of the organizers): https://t.co/E8fdjXJno3
Lots of new entries for our TrustMLVis Browser by @chatzimparmpas . 2021 was an excellent year for XAI with the use of visualization! Find out more and follow the links to the respective publications: https://t.co/lJAxGzBE90
Our colleagues at LiU have an open PostDoc position in Information Visualization / Visual Analytics with a focus on enhancing quality and trust in genome-wide expression clustering and annotation! Application deadline: February 28, 2022. https://t.co/USy5xMA71P
Exciting news: the new project called InfraVis will build a new national infrastructure for visualization and analysis of scientific data, and Linnaeus University will be one of its nine university nodes! https://t.co/2UCe25mARp
Congratulations to Maath Musleh, Angelos Chatzimparmpas, and Ilir Jusufi for winning the Best Short Paper Award at VINCI 2021 with their paper "Visual Analysis of Industrial Multivariate Time Series"! https://t.co/jBFJXIXRQ3 https://t.co/yStZsJ9RX0
Access our latest journal article "Fast and Reliable Incremental Dimensionality Reduction for Streaming Data" for free from Elsevier's Computers & Graphics until October 27 via the special link: https://t.co/sk7IVPYaNl
The members of the ISOVIS group are taking part in organizing SweDS 2021, the 9th Swedish Workshop on Data Science, which is hosted online by Linnaeus University on December 2–3, 2021. Proceedings to be published at IEEE Xplore — deadline on October 8. https://t.co/yyG2WpFvUb
Open PhD Position in Information Visualization / Visual Analytics with the iVis research group led by Professor Andreas Kerren, Linköping University, Norrköping Campus, Sweden! Read more about the vacancy and apply online by August 20, 2021: https://t.co/9oiihdnBxq
Clueless about which hyperparameters fit your machine learning algorithm(s)?Using VisEvol you can control the evolutionary optimization process for hyperparameter search!Paper: https://t.co/OIiRJv3cSL Video: https://t.co/qdOrSWeP4O @ISOVIS_Group @EuroVisCon
Our article titled "StanceVis Prime: Visual Analysis of Sentiment and Stance in Social Media Texts" has been published online in Journal of Visualization with open access!
https://t.co/gMBzlW2NMv
I am honored to present two journal papers at IEEE VIS 2020 virtual conference. VIS is a top-level conference in visualization.
The first article is "t-viSNE" (https://t.co/fNcoTlhpgV). The second article is "StackGenVis" (https://t.co/W20wpDBoQj).
Stay tuned for more updates!
TrustMLVis Browser, a visual survey in enhancing trust in Machine Learning (ML) models with visualization, is now publicly available online: https://t.co/lJAxGzBE90