anchor.diff:  SciVis,TVCG,An Interactive Framework for Visualization of Weather Forecast Ensembles,J),"Bo Ma, Alireza Entezari",,,,,,,vimeo 290325855,10.1109/tvcg.2018.2864815,2018,2018,SciVis,Estrel Hall A+B,Wednesday,Space and Physics,24-Oct,3:20 PM,3:40 PM
   TVCG,TVCG,Animation Plans for Before-And-After Satellite images,T),"María-Jesús Lobo, Caroline Appert, Emmanuel Pietriga",,,,,,,vimeo 289789265,,,2018,SciVis,Estrel Hall A+B,Wednesday,Space and Physics,24-Oct,3:40 PM,4:00 PM
   VAST,TVCG,Vulnus: Visual Vulnerability Analysis for Network Security,J),"Marco Angelini, Graziano Blasilli, Tiziana Catarci, Simone Lenti, Giuseppe Santucci",,,,,,,vimeo 289787623,10.1109/tvcg.2018.2865028,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,9:00 AM,9:20 AM
  -VAST,TVCG,GraphProtector: a Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms,J),"Xumeng Wang, Wei Chen, Huihua Guan, Wenlong Chen, Rusheng Pan, Jia-Kai Chou, Chris Bryan, Kwan-Liu Ma",,,,,,,vimeo 289787471,,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,9:20 AM,9:40 AM
  -VAST,TVCG,Situ: Identifying and explaining suspicious behavior in networks,J),"John Goodall, Eric Ragan, Chad Steed, Joel Reed, Gregory Richardson, Kelly Huffer, Robert Bridges, Jason Laska",,,,,,,vimeo 289787635,,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,9:40 AM,10:00 AM
  +VAST,TVCG,GraphProtector: a Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms,J),"Xumeng Wang, Wei Chen, Huihua Guan, Wenlong Chen, Rusheng Pan, Jia-Kai Chou, Chris Bryan, Kwan-Liu Ma",http://www.cad.zju.edu.cn/home/vagblog/VAG_Work/GraphProtector.pdf,"Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous individuals. Most sanitization strategies modify the graph's structure based on hypothesized tactics that an adversary would employ. While combining multiple anonymization schemes provides a more comprehensive privacy protection, deciding the appropriate set of techniques—along with evaluating how applying the strategies will affect the utility of the anonymized results—remains a signicant challenge. To address this problem, we introduce GraphProtector, a visual interface that guides a user through a privacy preservation pipeline. GraphProtector enables multiple privacy protection schemes which can be simultaneously combined together as a hybrid approach. To demonstrate the effectiveness of GraphProtector, we report several case studies and feedback collected from interviews with expert users in various scenarios.",,,,,vimeo 289787471,10.1109/TVCG.2018.2865021,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,9:20 AM,9:40 AM
  +VAST,TVCG,Situ: Identifying and explaining suspicious behavior in networks,J),"John Goodall, Eric Ragan, Chad Steed, Joel Reed, Gregory Richardson, Kelly Huffer, Robert Bridges, Jason Laska",https://www.cise.ufl.edu/~eragan/papers/Goodall_Situ_2018.pdf,"Despite the best efforts of cyber security analysts, networked computing assets are routinely compromised, resulting in the loss of intellectual property, the disclosure of state secrets, and major nancial damages. Anomaly detection methods are benecial for detecting new types of attacks and abnormal network activity, but such algorithms can be difcult to understand and trust. Network operators and cyber analysts need fast and scalable tools to help identify suspicious behavior that bypasses automated security systems, but operators do not want another automated tool with algorithms they do not trust. Experts need tools to augment their own domain expertise and to provide a contextual understanding of suspicious behavior to help them make decisions. In this paper we present Situ, a visual analytics system for discovering suspicious behavior in streaming network data. Situ provides a scalable solution that combines anomaly detection with information visualization. The system's visualizations enable operators to identify and investigate the most anomalous events and IP addresses, and the tool provides context to help operators understand why they are anomalous. Finally, operators need tools that can be integrated into their workow and with their existing tools. This paper describes the Situ platform and its deployment in an operational network setting. We discuss how operators are currently using the tool in a large organization's security operations center and present the results of expert reviews with professionals.",,,,,vimeo 289787635,10.1109/TVCG.2018.2865029,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,9:40 AM,10:00 AM
   VAST,TVCG,A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications,J),"Cong Xie, Wei Xu, Klaus Mueller",,,,,,,vimeo 289787924,10.1109/tvcg.2018.2865026,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,10:00 AM,10:20 AM
   VAST,TVCG,Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities,J),"Jay Koven, Cristian Felix, Hossein Siadati, Enrico Bertini, Markus Jakobsson",,,,,,,vimeo 289787515,10.1109/tvcg.2018.2865023,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,"Security, Privacy, and Anomaly",25-Oct,10:20 AM,10:40 AM
   InfoVis,TVCG,Origin-Destination Flow Maps in Immersive Environments,J),"Yalong Yang, Tim Dwyer, Bernhard Jenny, Kim Marriott, Maxime Cordeil, Haohui Chen",https://ialab.it.monash.edu/~dwyer/papers/flow-maps-ia.pdf,"Immersive virtual- and augmented-reality headsets can overlay a flat image against any surface or hang virtual objects in the space around the user. The technology is rapidly improving and may, in the long term, replace traditional flat panel displays in many situations. When displays are no longer intrinsically flat, how should we use the space around the user for abstract data visualisation? In this paper, we ask this question with respect to origin-destination flow data in a global geographic context. We report on the findings of three studies exploring different spatial encodings for flow maps. The first experiment focuses on different 2D and 3D encodings for flows on flat maps. We find that participants are significantly more accurate with raised flow paths whose height is proportional to flow distance but fastest with traditional straight line 2D flows. In our second and third experiment we compared flat maps, 3D globes and a novel interactive design we call <i>MapsLink</i>, involving a pair of linked flat maps. We find that participants took significantly more time with MapsLink than other flow maps while the 3D globe with raised flows was the fastest, most accurate, and most preferred method. Our work suggests that <i>careful</i> use of the third spatial dimension can resolve visual clutter in complex flow maps.",,,,,vimeo 279605506,10.1109/tvcg.2018.2865192,2018,2018,InfoVis,"Convention Hall 1, Section D",Thursday,Immersive Analytics,25-Oct,9:00 AM,9:20 AM
  
positive.code: SciVis,TVCG,DT-MRI Streamsurfaces Revisited,J),"Michael Ankele, Thomas Schultz",,,,,,,vimeo 290327825,10.1109/tvcg.2018.2864845,2018,2018,SciVis,Estrel Hall A+B,Thursday,Tensors,25-Oct,9:20 AM,9:40 AM
  SciVis,TVCG,Tensor Field Visualization using Fiber Surfaces of Invariant Space,J),"Felix Raith, Christian Blecha, Thomas Nagel, Francesco Parisio, Olaf Kolditz, Fabian Günther, Markus Stommel, Gerik Scheuermann",,,,,,,vimeo 290327914,10.1109/tvcg.2018.2864846,2018,2018,SciVis,Estrel Hall A+B,Thursday,Tensors,25-Oct,9:40 AM,10:00 AM
  TVCG,TVCG,Tensor Decompositions for Integral Histogram Compression and Look-Up,T),"Rafael Ballester-Ripoll, Renato Pajarola",,,,,,,vimeo 289788992,10.1109/tvcg.2018.2802521,,2018,SciVis,Estrel Hall A+B,Thursday,Tensors,25-Oct,10:00 AM,10:20 AM
  VAST,TVCG,An Interactive Method to Improve Crowdsourced Annotations,J),"Changjian Chen, Shixia Liu, Yafeng Lu, Fangxin Ouyang, Bin Wang",,,,,,,vimeo 289787374,,2018,2018,VAST,Estrel Hall C,Thursday,Interactive Analytics and Design,25-Oct,9:00 AM,9:20 AM
  VAST,TVCG,RegressionExplorer: Interactive Exploration of Logistic Regression Models with Subgroup Analysis,J),"Dennis Dingen, Marcel van 't Veer, Patrick Houthuizen, Eveline H. J. Mestrom, Erik H.H.M. Korsten, Arthur R.A. Bouwman, Jarke van Wijk",,,,,,,vimeo 289787606,10.1109/tvcg.2018.2865043,2018,2018,VAST,Estrel Hall C,Thursday,Interactive Analytics and Design,25-Oct,9:20 AM,9:40 AM
  VAST,TVCG,Drag and Track:  A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space,J),"Daniel Orban, Daniel Keefe, Ayan Biswas, James Ahrens, David Rogers",,,,,,,vimeo 289787986,,2018,2018,VAST,Estrel Hall C,Thursday,Interactive Analytics and Design,25-Oct,9:40 AM,10:00 AM
  VAST,TVCG,Clustrophile 2: Guided Visual Clustering Analysis,J),"Marco Cavallo, Çagatay Demiralp",,,,,,,vimeo 289787185,,2018,2018,VAST,Estrel Hall C,Thursday,Interactive Analytics and Design,25-Oct,10:00 AM,10:20 AM
  VAST,TVCG,InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming,J),"Zhicong Lu, Mingming Fan, Yun Wang, Jian Zhao, Michelle Annett, Daniel Wigdor",,,,,,,vimeo 289787883,10.1109/tvcg.2018.2864887,2018,2018,VAST,Estrel Hall C,Thursday,Interactive Analytics and Design,25-Oct,10:20 AM,10:40 AM
  TVCG,TVCG,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,T),"Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau",,,,,,,vimeo 289789596,10.1109/tvcg.2018.2843369,,2018,VAST,"Convention Hall 1, Section C",Thursday,Deep Learning,25-Oct,11:00 AM,11:20 AM
  VAST,VAST,Analyzing the Noise Robustness of Deep Neural Networks,C),"Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu",,,,,,,vimeo 289787703,,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,Deep Learning,25-Oct,11:20 AM,11:40 AM
  VAST,TVCG,DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks,J),"Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang",,,,,,,vimeo 289787246,10.1109/tvcg.2018.2864504,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,Deep Learning,25-Oct,11:40 AM,12:00 PM
  VAST,TVCG,RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Network on Electronic Medical Records,J),"Bum Chul Kwon, Min-Je Choi, Joanne Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo",,,,,,,vimeo 289787946,,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,Deep Learning,25-Oct,12:00 PM,12:20 PM
  VAST,TVCG,GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation,J),"Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda Viegas, Martin Wattenberg",,,,,,,vimeo 289787794,10.1109/tvcg.2018.2864500,2018,2018,VAST,"Convention Hall 1, Section C",Thursday,Deep Learning,25-Oct,12:20 PM,12:40 PM
  InfoVis,TVCG,A Framework for Creative Visualization-Opportunities Workshops,J),"Ethan Kerzner, Sarah Goodwin, Jason Dykes, Sara V Jones, Miriah Meyer",http://sci.utah.edu/~vdl/papers/2018_infovis_creative-workshops.pdf,"Applied visualization researchers often work closely with domain collaborators to explore new and useful applications of visualization. The early stages of collaborations are typically time consuming for all stakeholders as researchers piece together an understanding of domain challenges from disparate discussions and meetings. A number of recent projects, however, report on the use of creative visualization-opportunities (CVO) workshops to accelerate the early stages of applied work, eliciting a wealth of requirements in a few days of focused work. Yet, there is no established guidance for how to use such workshops effectively. In this paper, we present the results of a 2-year collaboration in which we analyzed the use of 17 workshops in 10 visualization contexts. Its primary contribution is a framework for CVO workshops that: 1) identifies a process model for using workshops; 2) describes a structure of what happens within effective workshops; 3) recommends 25 actionable guidelines for future workshops; and 4) presents an example workshop and workshop methods. The creation of this framework exemplifies the use of critical reflection to learn about visualization in practice from diverse studies and experience.",,,,,vimeo 289784415,10.1109/tvcg.2018.2865241,2018,2018,InfoVis,"Convention Hall 1, Section D",Thursday,Design & Storytelling,25-Oct,11:00 AM,11:20 AM
  TVCG,TVCG,ATOM: A Grammar for Unit Visualizations,T),"Deokgun Park, Steven M. Drucker, Roland Fernandez, Niklas Elmqvist",,,,,,,vimeo 289789243,10.1109/tvcg.2017.2785807,2017,2018,InfoVis,"Convention Hall 1, Section D",Thursday,Design & Storytelling,25-Oct,11:20 AM,11:40 AM
  InfoVis,TVCG,Design Exposition with Literate Visualization,J),"Jo Wood, Alexander Kachkaev, Jason Dykes",http://openaccess.city.ac.uk/20081/1/wood_literate_2018.pdf,"We propose a new approach to the visualization design and communication process, literate visualization, based upon and extending, Donald Knuth's idea of literate programming. It integrates the process of writing data visualization code with description of the design choices that led to the implementation (design exposition). We develop a model of design exposition characterised by four visualization designer architypes: the evaluator, the autonomist, the didacticist and the rationalist. The model is used to justify the key characteristics of literate visualization: �notebook� documents that integrate live coding input, rendered output and textual narrative; low cost of authoring textual narrative; guidelines to encourage structured visualization design and its documentation. We propose narrative schemas for structuring and validating a wide range of visualization design approaches and models, and branching narratives for capturing alternative designs and design views. We describe a new open source literate visualization environment, litvis, based on a declarative interface to Vega and Vega-Lite through the functional programming language Elm combined with markdown for formatted narrative. We informally assess the approach, its implementation and potential by considering three examples spanning a range of design abstractions: new visualization idioms; validation though visualization algebra; and feminist data visualization. We argue that the rich documentation of the design process provided by literate visualization offers the potential to improve the validity of visualization design and so benefit both academic visualization and visualization practice.",,https://github.com/gicentre/litvis,,,vimeo 289785349,10.1109/tvcg.2018.2864836,2018,2018,InfoVis,"Convention Hall 1, Section D",Thursday,Design & Storytelling,25-Oct,11:40 AM,12:00 PM
  
negative.code: SciVis,TVCG,Visualization of Neuronal Structures in Wide-field Microscopy Brain Images,J),"Saeed Boorboor, Shreeraj Jadhav, Mala Ananth, David Talmage, Lorna W Role, Arie Kaufman",,,,,,,vimeo 290328215,,2018,2018,SciVis,Estrel Hall A+B,Wednesday,Biomedical Visualization,24-Oct,9:40 AM,10:00 AM
  TVCG,TVCG,Classification of Blood Flow Patterns in Cerebral Aneurysms,T),"Monique Meuschke, Steffen Oeltze-Jafra, Oliver Beuing, Bernhard Preim, Kai Lawonn",,,,,,,vimeo 289789890,10.1109/tvcg.2018.2834923,,2018,SciVis,Estrel Hall A+B,Wednesday,Biomedical Visualization,24-Oct,10:00 AM,10:20 AM
  TVCG,TVCG,Bridging Text Visualization and Mining: A Task-Driven Survey,T),"Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fangxin Ouyang, Mennatallah El-Assady, Liu Jiang, Daniel Keim",,,,,,,vimeo 289789579,10.1109/tvcg.2018.2834341,,2018,VAST,Estrel Hall C,Wednesday,Text,24-Oct,9:00 AM,9:20 AM
  VAST,TVCG,Doccurate: A Curation-Based Approach for Clinical Text Visualization,J),Nicole Sultanum,,,,,,,vimeo 289787431,10.1109/TVCG.2018.2864905,2018,2018,VAST,Estrel Hall C,Wednesday,Text,24-Oct,9:20 AM,9:40 AM
  VAST,TVCG,VIS Author Profiles: Interactive Descriptions of Publication Records Combining Text and Visualization,J),"Shahid Latif, Fabian Beck, Devin Singh, Michael Brudno, Fanny Chevalier",https://www.vis.wiwi.uni-due.de/uploads/tx_itochairt3/publications/vap-preprint.pdf,"Publication records and collaboration networks are important for assessing the expertise and experience of researchers. Existing digital libraries show the raw publication lists in author profiles, whereas visualization techniques focus on specific subproblems. Instead, we look at publication records from various perspectives mixing low-level publication data with high-level abstractions and background information. This work presents VIS Author Profiles, a novel approach to generate integrated textual and visual descriptions to highlight patterns in publication records. We leverage template-based natural language generation to summarize notable publication statistics, evolution of research topics, and collaboration relationships. Seamlessly integrated visualizations augment the textual description and are interactively connected with each other and the text. The underlying publication data and detailed explanations of the analysis are available on demand. We compare our approach to existing systems by taking into account information needs of users and demonstrate its usefulness in two realistic application examples.",https://vis-tools.paluno.uni-due.de/vap/,,,,vimeo 289787504,10.1109/TVCG.2018.2865022,2018,2018,VAST,Estrel Hall C,Wednesday,Text,24-Oct,9:40 AM,10:00 AM
  TVCG,TVCG,A Visual Analytics Framework for Identifying Topic Drivers in Media,T),"Yafeng Lu, Hong Wang, Steven Landis, Ross Maciejewski",,,,,,,vimeo 289788885,,,2018,VAST,Estrel Hall C,Wednesday,Text,24-Oct,10:00 AM,10:20 AM
  TVCG,TVCG,Visualizing a Thinker’s Life,T),"Patrick Riehmann, Dora Kiesel, Martin Kohlhaas, Bernd Fröhlich",,,,,,,vimeo 289789544,,,2018,VAST,Estrel Hall C,Wednesday,Text,24-Oct,10:20 AM,10:40 AM
  TVCG,TVCG,Commercial Visual Analytics Systems – Advances in the Big Data Analytics Field,T),"Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Stefan Hagen Weber, Sebastian Mittelstaedt, Hanspeter Pfister, Daniel Keim",,,,,,,vimeo 289789498,,,2018,VAST,"Convention Hall 1, Section C",Wednesday,Applications,24-Oct,11:00 AM,11:20 AM
  VAST,TVCG,BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence,J),"Xuanwu Yue, Xinhuan Shu, Xinyu ZHU, Xinnan Du, Zheqing Yu, Dimitrios Papadopoulos, Siyuan Liu",,,,,,,vimeo 289787312,10.1109/TVCG.2018.2864814,2018,2018,VAST,"Convention Hall 1, Section C",Wednesday,Applications,24-Oct,11:20 AM,11:40 AM
  TVCG,TVCG,KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis,T),"Markus Wagner, Djordje Slijepcevic, Brian Horsak, Alexander Rind, Matthias Zeppelzauer, Wolfgang Aigner",,,,,,,vimeo 289788975,10.1109/tvcg.2017.2785271,,2018,VAST,"Convention Hall 1, Section C",Wednesday,Applications,24-Oct,11:40 AM,12:00 PM
  TVCG,TVCG,Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots,T),"G.Elisabeta Marai, Chihua Ma, Andrew T. Burks, Filippo Pellolio, Guadalupe Canahuate, David M. Vock, Abdallah S.R. Mohamed, C. David Fuller",,,,,,,vimeo 289789079,10.1109/tvcg.2018.2817557,,2018,VAST,"Convention Hall 1, Section C",Wednesday,Applications,24-Oct,12:00 PM,12:20 PM
  VAST,VAST,VUSphere: Visual Analysis of Video Utilization in Online Distance Education,C),"Huan He, Qinghua Zheng, Bo Dong",,,,,,,vimeo 289788052,,2018,2018,VAST,"Convention Hall 1, Section C",Wednesday,Applications,24-Oct,12:20 PM,12:40 PM
  