@inproceedings{he2022design,
  abstract = {Continual learning can enable neural networks to evolve by learning new tasks sequentially in task-changing scenarios. 
However, two general challenges should be overcome in further research before we apply this technique to real-world applications. 
Firstly, newly collected novelties from the data stream in applications could contain anomalies that are meaningless for continual learning. 
Instead of viewing them as a new task for updating, we have to filter out such anomalies to reduce the disturbance of extremely high-entropy data for the progression of convergence. 
Secondly, fewer efforts have been put into research regarding the explainability of continual learning, which leads to a lack of transparency and credibility of the updated neural networks. 
Elaborated explanations about the process and result of continual learning can help experts in judgment and making decisions. 
Therefore, we propose the conceptual design of an explainability module with experts in the loop based on techniques, such as dimension reduction, visualization, and evaluation strategies. 
This work aims to overcome the mentioned challenges by sufficiently explaining and visualizing the identified anomalies and the updated neural network. 
With the help of this module, experts can be more confident in decision-making regarding anomaly filtering, dynamic adjustment of hyperparameters, data backup, etc.},
  author = {He, Yujiang and Huang, Zhixin and Sick, Bernhard},
  booktitle = {Workshop on Interactive Machine Learning Workshop (IMLW), AAAI},
  interhash = {e1229de8e285fd3b266fd73c3f5287c1},
  intrahash = {040c3c0e2cae3bcf668f6c6a67aed6be},
  pages = {1--6},
  title = {Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning},
  url = {https://arxiv.org/abs/2202.06781},
  year = 2022
}

@article{dunne2012rapid,
  abstract = {Keeping up with rapidly growing research fields, especially when there are multiple interdisciplinary sources, requires substantial effort for researchers, program managers, or venture capital investors. Current theories and tools are directed at finding a paper or website, not gaining an understanding of the key papers, authors, controversies, and hypotheses. This report presents an effort to integrate statistics, text analytics, and visualization in a multiple coordinated window environment that supports exploration. Our prototype system, Action Science Explorer (ASE), provides an environment for demonstrating principles of coordination and conducting iterative usability tests of them with interested and knowledgeable users. We developed an understanding of the value of reference management, statistics, citation text extraction, natural language summarization for single and multiple documents, filters to interactively select key papers, and network visualization to see citation patterns and identify clusters. A three-phase usability study guided our revisions to ASE and led us to improve the testing methods.},
  author = {Dunne, Cody and Shneiderman, Ben and Gove, Robert and Klavans, Judith and Dorr, Bonnie},
  doi = {10.1002/asi.22652},
  interhash = {f031d712f64663242af6b6ec95b74f48},
  intrahash = {045df67628ff0ae9b75bb1ecf915d025},
  issn = {1532-2890},
  journal = {Journal of the American Society for Information Science and Technology},
  number = 12,
  pages = {2351--2369},
  title = {Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization},
  url = {http://dx.doi.org/10.1002/asi.22652},
  volume = 63,
  year = 2012
}

@mastersthesis{flohr2011extraktion,
  abstract = {Informationen so aufzubereiten, dass sie für eine bestimmte Situation nützlich sind, ist eine große Herausforderung. In solchen Situationen soll ein Benutzer, wenn er sich an einem fremden Ort befindet, mit Hilfe des Android Smartphone interessante und wis- senswerte Informationen anzeigen lassen. Um dies bewerkstelligen zu können, muss es eine georeferenzierte Informationsquelle geben. Außerdem muss ein Konzept vor- handen sein, um diese Daten zu sammeln und so aufzubereiten, dass der Benutzer diese auch nützlich findet. Es muss eine Visualisierung dieser Daten geben, da der Platz zur Anzeige auf Smartphones sehr begrenzt ist. Als georeferenzierte Informationsquelle wird die Online-Enzyklopädie Wikipedia ge- nutzt, diese ist frei zugänglich und auch sehr umfassend. In dieser Arbeit wird das Konzept zur Sammlung und Aufbereitung von relevanten Daten behandelt. Zur In- formationsvisualisierung wird die Methode der Schlagwortwolke (engl. Tag-Cloud) verwendet.   It is a major challenge to prepare useful information for a particular situation. In this situation an Android smartphone user wants to display interesting and important facts about an unknown place. To manage this task existence of a geo-referenced source of information has to be ensured. In order to collect and prepare this data a creation of concept is needed. Due to limited display space, it is necessary to construct a suitable visualization of this data. Wikipedia is used as a geo-referenced information resource, because it has open-access and it offers global geo-referenced information. This thesis covers the concept of col- lecting and preparing relevant data. To visualize information a tag cloud is used.  },
  author = {Flohr, Oliver},
  interhash = {5d1f4da4964062ed6598fe8d8be8b591},
  intrahash = {a28959724af1907e7fc67a68e648c14c},
  month = aug,
  school = {Gottfried Wilhelm Leibniz Universität Hannover},
  title = {Extraktion und Visualisierung ortsbezogener Informationen mit Tag-Clouds},
  type = {bachelor thesis},
  url = {http://www.se.uni-hannover.de/pub/File/pdfpapers/Flohr2011a.pdf},
  year = 2011
}

@article{RePEc:eee:csdana:v:41:y:2002:i:1:p:59-90,
  abstract = {No abstract is available for this item.},
  author = {Dhillon, Inderjit S. and Modha, Dharmendra S. and Spangler, W. Scott},
  interhash = {3ff82dddf6ce4d86909347824554ddf8},
  intrahash = {03e92f40796a0093a6e882a83f5cd995},
  journal = {Computational Statistics \& Data Analysis},
  month = {November},
  number = 1,
  pages = {59-90},
  title = {Class visualization of high-dimensional data with applications},
  url = {http://www.cs.utexas.edu/~inderjit/public_papers/csda.pdf},
  volume = 41,
  year = 2002
}

@misc{noauthororeditor2011ulrik,
  abstract = {We propose a visual representation of bibliographic data based on shared references. Our method employs a distance metric that is derived from bibliographic coupling and then subjected to fast approximate multidimensional scaling. Its utility is demon- strated by an explorative analysis of social network publications that, most notably, depicts the genesis of an area now commonly referred to as network science. However, the example also illustrates some common pitfalls in bibliometric analysis. },
  author = {Brandes, Ulrik and Pich, Christian},
  interhash = {966f25411e26d12c4be6a700d8d1eda0},
  intrahash = {4c82d3d674aee439735cae0abb920a35},
  journal = {Journal of Social Structure},
  title = {Explorative Visualization of Citation Patterns in Social Network Research},
  url = {http://www.cmu.edu/joss/content/articles/volume12/BrandesPich/index.pdf},
  volume = {12(8)},
  year = 2011
}

@book{haklay2010interacting,
  address = {Chichester, West Sussex, UK},
  author = {Haklay, Mordechai},
  interhash = {ee82b2b82e055fe1fa57c11ec1315122},
  intrahash = {abd409ed5340f6563d5d82146c3e1990},
  isbn = {9780470998243 0470998245},
  publisher = {John Wiley},
  refid = {466334086},
  title = {Interacting with geospatial technologies},
  url = {http://www.amazon.co.uk/gp/product/0470998245/},
  year = 2010
}

@article{gansner2000graph,
  abstract = {We describe a package of practical tools and libraries for manipulating graphs and their drawings. Our design, which aimed at facilitating the combination of the package components with other tools, includes stream and event interfaces for graph operations, high-quality static and dynamic layout algorithms, and the ability to handle sizable graphs. We conclude with a description of the applications of this package to a variety of software engineering tools.},
  acmid = {358697},
  address = {New York, NY, USA},
  author = {Gansner, Emden R. and North, Stephen C.},
  doi = {10.1002/1097-024X(200009)30:11<1203::AID-SPE338>3.3.CO;2-E},
  interhash = {fdbcae2c4f9f976058d82d409ff9b5d7},
  intrahash = {4d0cb8db8cf90029b781872d0dc84624},
  issn = {0038-0644},
  issue = {11},
  journal = {Software Practice \& Experience},
  month = sep,
  number = 11,
  numpages = {31},
  pages = {1203--1233},
  publisher = {John Wiley \& Sons, Inc.},
  title = {An open graph visualization system and its applications to software engineering},
  url = {http://dl.acm.org/citation.cfm?id=358668.358697},
  volume = 30,
  year = 2000
}

@article{gansner2009drawing,
  abstract = {Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through  dimensionality reduction techniques. However, these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods. In this paper, we describe GMap: a practical tool for visualizing relational data with geographic-like maps. We illustrate the effectiveness of this approach with examples from several domains All the maps referenced in this paper can be found in http://www.research.att.com/~yifanhu/GMap },
  author = {Gansner, Emden R. and Hu, Yifan and Kobourov, Stephen G.},
  interhash = {881280a1a2aa34d84322d3781f62ca90},
  intrahash = {3f9e522da9443c0a07c39009918a4a77},
  journal = {cs.CG},
  month = jul,
  title = {{GMap}: Drawing Graphs as Maps},
  url = {http://arxiv.org/abs/0907.2585},
  volume = {arXiv:0907.2585v1},
  year = 2009
}

@inproceedings{ls_leimeister,
  address = {St. Louis, MO, USA},
  author = {Riedl, C. and Wagner, S. and Leimeister, J. M. and Krcmar, H.},
  booktitle = {20. Annual Workshop on Information Technologies and Systems (WITS) 2010},
  interhash = {da15f28a4c28f09baf9cb0eb265f375b},
  intrahash = {eb6b0c9e2f37a64c36a7f98104cf0ebb},
  note = {205 (53-10)},
  number = 20,
  title = {Exploring Large Collections of Ideas in Collaborative Settings through Visualization},
  url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_205.pdf},
  year = 2010
}

@inproceedings{gohr2010visually,
  abstract = {Tags are intensively used in social platforms to annotate resources: Tagging is a social phenomenon, because users do not only annotate to organize their resources but also to associate semantics to resources contributed by third parties. This leads often to semantic ambiguities: Popular tags are associated with very disparate meanings, even to the extend that some tags (e.g. "beautiful" or "toread") are irrelevant to the semantics of the resources they annotate. We propose a method that learns a topic model for documents under a tag and visualizes the different meanings associated with the tag. Our approach deals with the following problems. First, tag miscellany is a temporal phenomenon: tags acquire multiple semantics gradually, as users apply them to disparate documents. Hence, our method must capture and visualize the evolution of the topics in a stream of documents. Second, the meanings associated to a tag must be presented in a human-understandable way; This concerns both the choice of words and the visualization of all meanings. Our method uses AdaptivePLSA, a variation of Probabilistic Latent Semantic Analysis for streams, to learn and adapt topics on a stream of documents annotated with a specific tag. We propose a visualization technique called Topic Table to visualize document prototypes derived from topics and their evolution over time. We show by a case study how our method captures the evolution of tags selected as frequent and ambiguous, and visualizes their semantics in a comprehensible way. Additionally, we show the effectiveness by adding alien resources under a tag. Our approach indeed visualizes hints to the added documents.},
  address = {Kassel, Germany},
  author = {Gohr, André and Spiliopoulou, Myra and Hinneburg., Alexander},
  booktitle = {Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen {\&} Adaptivitaet},
  crossref = {lwa2010},
  editor = {Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  end = {2010-10-05 10:00:00},
  interhash = {e7054144bb25dfac8812c15e477d1e54},
  intrahash = {67dc1e470b31cb6984d5faafe8e64ce0},
  room = {0446},
  session = {joint1},
  start = {2010-10-05 09:30:00},
  title = {Visually summarizing the Evolution of Documents under a Social Tag},
  track = {kdml},
  url = {http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml27.pdf},
  year = 2010
}

@inproceedings{ls_leimeister,
  address = {St. Louis, MO, USA},
  author = {Riedl, C. and Wagner, S. and Leimeister, J. M. and Krcmar, H.},
  booktitle = {20. Annual Workshop on Information Technologies and Systems (WITS) 2010},
  interhash = {da15f28a4c28f09baf9cb0eb265f375b},
  intrahash = {eb6b0c9e2f37a64c36a7f98104cf0ebb},
  note = {205 (53-10)},
  number = 20,
  title = {Exploring Large Collections of Ideas in Collaborative Settings through Visualization},
  url = {http://pubs.wi-kassel.de/wp-content/uploads/2013/03/JML_196.pdf},
  year = 2010
}

@article{kent95creating,
  author = {Kent, Robert E. and Neuss, Christian},
  date = {2003-02-14},
  ee = {http://dx.doi.org/10.1016/0169-7552(95)00095-X},
  interhash = {27e8127ff386c35eed428083b7a5c590},
  intrahash = {a9f6da98afa14d110a529e515e8f592b},
  journal = {Computer Networks and ISDN Systems},
  number = {1\&2},
  pages = {109-117},
  title = {Creating a Web Analysis and Visualization Environment},
  url = {http://dblp.uni-trier.de/db/journals/cn/cn28.html#KentN95},
  volume = 28,
  year = 1995
}

@inproceedings{citeulike:688160,
  address = {New York, NY, USA},
  author = {Dubinko, Micah and Kumar, Ravi and Magnani, Joseph and Novak, Jasmine and Raghavan, Prabhakar and Tomkins, Andrew},
  booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
  citeulike-article-id = {688160},
  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1135777.1135810},
  citeulike-linkout-1 = {http://dx.doi.org/10.1145/1135777.1135810},
  doi = {10.1145/1135777.1135810},
  interhash = {b9ff2f72831a1406013a86c8202d6276},
  intrahash = {cca8a679a78e2bced9a5cc268cfd3aaa},
  isbn = {1595933239},
  pages = {193--202},
  posted-at = {2008-04-27 18:08:29},
  priority = {5},
  publisher = {ACM Press},
  title = {Visualizing tags over time},
  url = {http://dx.doi.org/10.1145/1135777.1135810},
  year = 2006
}

@book{tufte2001visual,
  asin = {0961392142},
  author = {Tufte, Edward R.},
  dewey = {001.4226},
  ean = {9780961392147},
  edition = {Second},
  interhash = {9900880e451150c1b06ede3c780c062b},
  intrahash = {9c028ebcb336380cb02e2a4beaa14d54},
  isbn = {0961392142},
  publisher = {Graphics Press},
  title = {The Visual Display of Quantitative Information},
  url = {http://www.amazon.com/Visual-Display-Quantitative-Information-2nd/dp/0961392142%3FSubscriptionId%3D192BW6DQ43CK9FN0ZGG2%26tag%3Dws%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0961392142},
  year = 2001
}

@article{battista1994algorithms,
  abstract = {Several data presentation problems involve drawing graphs so that they are easy to read and understand. Examples include circuit schematics and software engineering diagrams. In this paper we
present a bibliographic survey on algorithms whose goal is to produce aesthetically pleasing drawings of
graphs. Research on this topic is spread over the broad spectrum of Computer Science. This bibliography constitutes an attempt to encompass both theoretical and application oriented papers from disparate
areas.},
  address = {Amsterdam, The Netherlands},
  author = {Battista, Giuseppe Di and Eades, Peter and Tamassia, Roberto and Tollis, Ioannis G.},
  doi = {10.1016/0925-7721(94)00014-X},
  interhash = {c8010ae4e2e0aedf21607631ac79bed4},
  intrahash = {a62ded9eee008659ffa33d294b8de870},
  issn = {0925-7721},
  journal = {Computational Geometry: Theory and Applications},
  number = 5,
  pages = {235--282},
  publisher = {Elsevier Science Publishers B. V.},
  title = {Algorithms for drawing graphs: an annotated bibliography},
  url = {http://portal.acm.org/citation.cfm?id=195598},
  volume = 4,
  year = 1994
}

@article{kaser2007tagcloud,
  abstract = {Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As well, the typical layout does not account for relationships that may be known between tags. This paper presents models and algorithms to improve the display of tag clouds that con- sist of in-line HTML, as well as algorithms that use nested tables to achieve a more general 2-dimensional layout in which tag relationships are considered. The first algorithms leverage prior work in typesetting and rectangle packing, whereas the second group of algorithms leverage prior work in Electronic Design Automation. Experiments show our algorithms can be efficiently implemented and perform well. },
  author = {Kaser, Owen and Lemire, Daniel},
  date = {2008-01-02},
  interhash = {cb6ed5e3340cf684ec55299adc65e1a9},
  intrahash = {56270d1311c066a3852bea23eeb8d484},
  journal = {CoRR},
  note = {informal publication},
  title = {Tag-Cloud Drawing: Algorithms for Cloud Visualization},
  url = {http://arxiv.org/abs/cs/0703109},
  volume = {abs/cs/0703109},
  year = 2007
}

@article{fortuna2005vtd,
  author = {Fortuna, B. and Grobelnik, M. and Mladeni{\'c}, D.},
  interhash = {3db2674afa1f013492af950b6606b780},
  intrahash = {cc348c82464832a3f6a165978973e179},
  journal = {Special Issue: Hot Topics in European Agent Research I Guest Editors: Andrea Omicini},
  pages = {497--502},
  title = {{Visualization of text document corpus}},
  volume = 29,
  year = 2005
}

@inproceedings{hotho_pkdd03,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD},
  interhash = {cf66183151a5d94a0941ac6d5089ae89},
  intrahash = {c1bb26aa5d4801542f832ffab70c82e5},
  pages = {217-228},
  series = {LNCS},
  title = {Explaining Text Clustering Results using Semantic Structures},
  volume = 2838,
  year = 2003
}

@article{kent95creating,
  author = {Kent, Robert E. and Neuss, Christian},
  date = {2003-02-14},
  ee = {http://dx.doi.org/10.1016/0169-7552(95)00095-X},
  interhash = {27e8127ff386c35eed428083b7a5c590},
  intrahash = {c7ca420502d30b0d3ec430379da5bc18},
  journal = {Computer Networks and ISDN Systems},
  number = {1&2},
  pages = {109-117},
  title = {Creating a Web Analysis and Visualization Environment.},
  url = {http://dblp.uni-trier.de/db/journals/cn/cn28.html#KentN95},
  volume = 28,
  year = 1995
}