The State of the Art in Integrating Machine Learning into Visual Analytics, Computer Graphics Forum, vol.31, issue.3, 2017. ,
DOI : 10.1109/IV.2008.80
Machine Learning, 2015. ,
DOI : 10.1201/b16812-42
Visual analytics: Scope and challenges. In: Visual data mining, pp.76-90, 2008. ,
DOI : 10.1007/978-3-540-71080-6_6
URL : https://kops.uni-konstanz.de/bitstream/123456789/5631/1/Visual_Analytics_Scope_and_Challenges.pdf
Steerable, Progressive Multidimensional Scaling, IEEE Symposium on Information Visualization, pp.57-64, 2004. ,
DOI : 10.1109/INFVIS.2004.60
URL : http://www.cs.ubc.ca/~tmm/papers/mdsteer/mds.pdf
Supporting theoreticallygrounded model building in the social sciences through interactive visualisation, Neurocomputing, 2017. ,
Making machine learning models interpretable, ESANN -European Symposium on Artificial Neural Network. Volume, pp.163-172, 2012. ,
Interactive data visualization: foundations, techniques, and applications, 2010. ,
Visual data mining: Effective exploration ofthe biological universe Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges, Lecture Notes in Computer Science LNCS, vol.8401, 2014. ,
Analysis of biomedical data with multilevel glyphs, BMC Bioinformatics, vol.15, issue.Suppl 6, p.5, 2014. ,
DOI : 10.1179/000870403235002042
Finding meaning on YouTube: Tag recommendation and category discovery, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3447-3454, 2010. ,
DOI : 10.1109/CVPR.2010.5539985
URL : http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/35651.pdf
Discovering medical knowledge using visual analytics a survey on methods for systems biology and omics data, Eurographics EG, pp.71-81, 2015. ,
Morpheus, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.1089-1092, 2008. ,
DOI : 10.1145/1401890.1402026
Analysis of Patient Groups and Immunization Results Based on Subspace Clustering, Brain Informatics and Health Lecture Notes in Artificial Intelligence LNAI, vol.9250, issue.9250, pp.358-368, 2015. ,
DOI : 10.1007/978-3-319-23344-4_35
The analysis of proximities: Multidimensional scaling with an unknown distance function. I., Psychometrika, vol.65, issue.2, pp.125-140, 1962. ,
DOI : 10.1080/00223980.1954.9712953
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.131-140, 2016. ,
DOI : 10.1109/TVCG.2015.2467615
Visualizing data using t-sne, Journal of Machine Learning Research, vol.9, pp.2579-2605, 2008. ,
A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science, vol.290, issue.5500, pp.2319-2323, 2000. ,
DOI : 10.1126/science.290.5500.2319
Nonlinear Dimensionality Reduction by Locally Linear Embedding, Science, vol.290, issue.5500, pp.2323-2326, 2000. ,
DOI : 10.1126/science.290.5500.2323
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis, IEEE Transactions on Visualization and Computer Graphics, vol.23, issue.1, pp.241-250, 2017. ,
DOI : 10.1109/TVCG.2016.2598495
URL : http://eprints.mdx.ac.uk/20254/1/visual-interaction-dimensionality.pdf
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.3, pp.495-513, 2013. ,
DOI : 10.1109/TVCG.2012.110
MAD skills, Proceedings of the VLDB Endowment, pp.1481-1492, 2009. ,
DOI : 10.14778/1687553.1687576
Toward a Deeper Understanding of the Role of Interaction in Information Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1224-1231, 2007. ,
DOI : 10.1109/TVCG.2007.70515
Interactive machine learning for health informatics: when do we need the human-in-the-loop?, Brain Informatics, vol.7, issue.1, pp.119-131, 2016. ,
DOI : 10.1007/978-3-540-69868-5_1
Storytelling: The Next Step for Visualization, Computer, vol.46, issue.5, pp.44-50, 2013. ,
DOI : 10.1109/MC.2013.36
Introduction to MAchine Learning & Knowledge Extraction (MAKE), Machine Learning and Knowledge Extraction, vol.15, issue.1, pp.1-20, 2017. ,
DOI : 10.1007/978-3-642-40511-2_22
Information Visualization , Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081) Dagstuhl Reports, pp.58-83, 2012. ,
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101), Dagstuhl Reports, vol.5, pp.1-27, 2015. ,