On the Challenges and Opportunities in Visualization for Machine Learning and Knowledge Extraction: A Research Agenda
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[1] Daniel A. Keim,et al. Visual Analytics: Scope and Challenges , 2008, Visual Data Mining.
[2] Helwig Hauser,et al. Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey , 2013, IEEE Transactions on Visualization and Computer Graphics.
[3] Joseph M. Hellerstein,et al. MAD Skills: New Analysis Practices for Big Data , 2009, Proc. VLDB Endow..
[4] Alex Endert,et al. InterAxis: Steering Scatterplot Axes via Observation-Level Interaction , 2016, IEEE Transactions on Visualization and Computer Graphics.
[5] Alex Endert,et al. The State of the Art in Integrating Machine Learning into Visual Analytics , 2017, Comput. Graph. Forum.
[6] Tamara Munzner,et al. Steerable, Progressive Multidimensional Scaling , 2004, IEEE Symposium on Information Visualization.
[7] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[8] Luciano Sbaiz,et al. Finding meaning on YouTube: Tag recommendation and category discovery , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Ira Assent,et al. Morpheus: interactive exploration of subspace clustering , 2008, KDD.
[10] Michel Verleysen,et al. Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081) , 2012, Dagstuhl Reports.
[11] R. Shepard. The analysis of proximities: Multidimensional scaling with an unknown distance function. II , 1962 .
[12] John T. Stasko,et al. Toward a Deeper Understanding of the Role of Interaction in Information Visualization , 2007, IEEE Transactions on Visualization and Computer Graphics.
[13] Paulo J. G. Lisboa,et al. Making machine learning models interpretable , 2012, ESANN.
[14] Daniel A. Keim,et al. Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis , 2017, IEEE Transactions on Visualization and Computer Graphics.
[15] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[16] R. Shepard. The analysis of proximities: Multidimensional scaling with an unknown distance function. I. , 1962 .
[17] Stephen R. Marsland,et al. Machine Learning - An Algorithmic Perspective , 2009, Chapman and Hall / CRC machine learning and pattern recognition series.
[18] Jock D. Mackinlay,et al. Storytelling: The Next Step for Visualization , 2013, Computer.
[19] Andreas Holzinger,et al. Analysis of biomedical data with multilevel glyphs , 2014, BMC Bioinformatics.
[20] Andreas Holzinger,et al. Interactive machine learning for health informatics: when do we need the human-in-the-loop? , 2016, Brain Informatics.
[21] Jason Dykes,et al. Supporting theoretically-grounded model building in the social sciences through interactive visualisation , 2017, Neurocomputing.
[22] Andreas Holzinger,et al. Introduction to MAchine Learning & Knowledge Extraction (MAKE) , 2017, Mach. Learn. Knowl. Extr..
[23] Igor Jurisica,et al. Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions , 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.
[24] Andreas Holzinger,et al. Discovering Medical Knowledge Using Visual Analytics – a survey on methods for systems biology and ? omics data – , 2015 .
[25] Michel Verleysen,et al. Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101) , 2015, Dagstuhl Reports.
[26] Matthew O. Ward,et al. Interactive Data Visualization - Foundations, Techniques, and Applications , 2010 .
[27] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[28] Daniel A. Keim,et al. Analysis of Patient Groups and Immunization Results Based on Subspace Clustering , 2015, BIH.