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[1] Rosane Minghim,et al. Perception-Based Evaluation of Projection Methods for Multidimensional Data Visualization , 2015, IEEE Transactions on Visualization and Computer Graphics.
[2] Ryan A. Rossi,et al. Interactive Visual Graph Analytics on the Web , 2015, ICWSM.
[3] Hadi Fanaee-T,et al. Event labeling combining ensemble detectors and background knowledge , 2014, Progress in Artificial Intelligence.
[4] Patrick Breheny,et al. Visualization of Regression Models Using visreg , 2017, R J..
[5] Andrew Zisserman,et al. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps , 2013, ICLR.
[6] Saleh Basalamah,et al. SIMILARITY-DISSIMILARITY PLOT FOR HIGH DIMENSIONAL DATA OF DIFFERENT ATTRIBUTE TYPES IN BIOMEDICAL DATASETS , 2012 .
[7] Tamara Munzner,et al. A Taxonomy of Visual Cluster Separation Factors , 2012, Comput. Graph. Forum.
[8] Padhraic Smyth,et al. Analysis and Visualization of Network Data using JUNG , 2005 .
[9] Bongshin Lee,et al. Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers , 2017, IEEE Transactions on Visualization and Computer Graphics.
[10] Walter G. Kropatsch,et al. Visualization methods for neural networks , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[11] Vladimir Cherkassky,et al. Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models , 2010, DMIN.
[12] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[13] Kwan-Liu Ma,et al. What Would a Graph Look Like in this Layout? A Machine Learning Approach to Large Graph Visualization , 2017, IEEE Transactions on Visualization and Computer Graphics.
[14] Tobias Schreck,et al. A System for Interactive Visual Analysis of Large Graphs Using Motifs in Graph Editing and Aggregation , 2009, VMV.
[15] Valerio Pascucci,et al. Visualizing High-Dimensional Data: Advances in the Past Decade , 2017, IEEE Transactions on Visualization and Computer Graphics.
[16] Joachim Meyer,et al. Effects of cognitive styles and data characteristics on visual data mining , 2005, IS&T/SPIE Electronic Imaging.
[17] Jaegul Choo,et al. iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.
[18] Ben Shneiderman,et al. Motif simplification: improving network visualization readability with fan, connector, and clique glyphs , 2013, CHI.
[19] Andreas Holzinger,et al. Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together? , 2013, CD-ARES.
[20] Daniel A. Keim,et al. Challenges in Visual Data Analysis , 2006, Tenth International Conference on Information Visualisation (IV'06).
[21] Kenneth O. Stanley,et al. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning , 2017, ArXiv.
[22] Pascal Vincent,et al. Visualizing Higher-Layer Features of a Deep Network , 2009 .
[23] Nathan Edward Sanders,et al. A Balanced Perspective on Prediction and Inference for Data Science in Industry , 2019, Issue 1.
[24] Joachim Meyer,et al. Multiple Factors that Determine Performance with Tables and Graphs , 1997, Hum. Factors.
[25] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[26] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[27] Paul Burkhardt,et al. Graphing trillions of triangles , 2016, Inf. Vis..
[28] S. Bornholdt,et al. Scale-free topology of e-mail networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] William Ribarsky,et al. Visual analytics for complex concepts using a human cognition model , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.
[30] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[31] Marcus A. Magnor,et al. Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data , 2011, IEEE Transactions on Visualization and Computer Graphics.
[32] Lars Kai Hansen,et al. Visualization of neural networks using saliency maps , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[33] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..
[34] Haim Levkowitz,et al. Least Square Projection: A Fast High-Precision Multidimensional Projection Technique and Its Application to Document Mapping , 2008, IEEE Transactions on Visualization and Computer Graphics.
[35] Nikhil Ketkar,et al. Deep Learning with Python , 2017 .
[36] G. Grinstein,et al. Visualizing Graphical Probabilistic Models , 2006 .
[37] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[38] Heikki Mannila,et al. Finding interesting rules from large sets of discovered association rules , 1994, CIKM '94.
[39] Daniel A. Keim,et al. Information Visualization and Visual Data Mining , 2002, IEEE Trans. Vis. Comput. Graph..
[40] Jake Vanderplas,et al. Python Data Science Handbook: Essential Tools for Working with Data , 2016 .
[41] Jing Wu,et al. Visual Diagnosis of Tree Boosting Methods , 2018, IEEE Transactions on Visualization and Computer Graphics.
[42] Scott M. Lundberg,et al. Consistent Individualized Feature Attribution for Tree Ensembles , 2018, ArXiv.
[43] Tom Fawcett,et al. Data science for business , 2013 .
[44] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[45] Rosane Minghim,et al. Point Placement by Phylogenetic Trees and its Application to Visual Analysis of Document Collections , 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.
[46] G. Convertino,et al. HyperTuner: Visual Analytics for Hyperparameter Tuning by Professionals , 2018, 2018 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI).
[47] Daniel A. Keim,et al. Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis , 2017, IEEE Transactions on Visualization and Computer Graphics.
[48] Rahul Ramachandran,et al. ADaM: a data mining toolkit for scientists and engineers , 2005, Comput. Geosci..
[49] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[50] Scott Lundberg,et al. A Unified Approach to Interpreting Model Predictions , 2017, NIPS.
[51] Paulo Cortez,et al. A data-driven approach to predict the success of bank telemarketing , 2014, Decis. Support Syst..
[52] George Baciu,et al. ModulGraph: modularity-based visualization of massive graphs , 2015, SIGGRAPH Asia Visualization in High Performance Computing.
[53] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[54] Jarke J. van Wijk,et al. BaobabView: Interactive construction and analysis of decision trees , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).