It is a capital mistake to theorize before one has data.
Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
– Sherlock Holmes, A Scandal in Bohemia

About

I am an assistant professor at the Data Science group at University of Twente. My research interests include Data Mining, Natural Language Processing and Information Retrieval. I strongly believe that the design of algorithms and the design of applications should tightly integrate the user and that algorithms should be able to explain their reasoning to end users, which lead to my research in Human Computer Interaction, Information Visualization and Visual Analytics.

I hold a Ph.D. from the Techical University Graz, Austria (Thesis Topic: Visually Supported Supervised Machine Learning) and a diploma (equiv. M.Sc.) in computer science from the Technical University Chemnitz, Germany.

CV

  • since 03/2018
  • Assistant Professor, Data Science group, University of Twente, Enschede, The Netherlands
    Topics: Data Mining, Explainable AI
  • 10/2017 -- 02/2018
  • Full Professor of Complex and Intelligent Systems Engineering (Interim, Vertretungsprofessur), University of Passau, Passau, Germany
    Topics: Machine Learning and Modelling for Complex Systems
  • 07 - 09/2017
  • Assistant Professor, Chair of Data Science , University of Passau, Passau, Germany
    Topics: Machine Learning, Text Mining, Information Visualisation
    Key resposibilities:
    • Project coordinator
    • Teaching, co-supervision of students on all levels
  • 04 - 09/2016
  • Guest Professor, Technical University Dresden
    Key resposibilities:
    • Teaching, supervision of students
    • Research projects on machine learning, visualization and web search
  • 2012 - 06/2017
  • Assistant Professor, Professorship for Media Computer Science, University of Passau, Passau, Germany
    Topics: Personalisation, User Profiles, Context Detection, Information Retrieval, Text Mining, Information Visualisation
    Key resposibilities:
    • Deputy scientific coordinator, EU FP7 Project EEXCESS
    • Workpackage lead, EU FP7 Project EEXCESS
    • FP7 Projekt CODE
    • Teaching, co-supervision of doctoral students
  • 2007 - 2012
  • Ph.D. Programme, Technical University Graz, Graz, Austria
    Dr. techn., Summa Cum Laude, Institut für Wissensmanagement, TU Graz, Austria
    Thesis Topic: Visually Supported Supervised Machine Learning
  • 2010 - 2012
  • Doctoral Researcher, Technical University Graz, Graz, Austria
    Topics: Information Visualization, Data Mining, Natural Language Processing, Technology-Enhanced Learning
    Key resposibilities:
    • EU FP7 Project Aposdle
    • Various applied research projects on national and international level
  • 2007 - 2010
  • Doctoral Researcher, Know-Center GesmbH, Graz, Austria
    Topics: Information Visualization, Machine Learning
    Key resposibilities:
    • FIT-IT Projekt DYONIPOS
    • Various applied research projects on national and international level
  • 2004 - 2007
  • Research and Project Assistant, Joanneum Research GesmbH, Graz, Austria
    Topics: Computer Vision, Object Recognition, Mobile Context Detection
    Key resposibilities:
    • EU FP6 MACS and MOBVIS
    • Supervision of internship students
  • 1998 - 2004
  • Technical University Chemnitz, Chemnitz, Germany
    Dipl.-Inf., Chair for Artificial Intelligence
    Thesis Topic: "A simulation environment for the human immune system"

EU FP7 Project EEXCESS

Enhancing Europe’s eXchange in Cultural Educational and Scientific reSources

2013-2016 (24 months)

The vision of EEXCESS is to push high-quality content from the so-called long tail to platforms and devices which are used every day. Instead of navigating a multitude of libraries, repositories and databases, users will find relevant and specialised information in their habitual environment.

Responsibilities:
  • Deputy Scientific Coordinator
  • Work package lead
Key Publications:
  • Stefan Zwicklbauer, Christin Seifert and Michael Granitzer. Robust and Collective Entity Disambiguation through Semantic Embeddings Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016
  • Johannes Jurgovsky, Michael Granitzer, and Christin Seifert. Evaluating Memory Efficiency and Robustness of Word Embeddings Proc. of European Conference on Information Retrieval (ECIR). Honorable Mention. 2016.
  • Christin Seifert, Johannes Jurgovsky, and Michael Granitzer. FacetScape: A Visualization for Exploring the Search Space. Proc. International Conference on Information Visualization (IV). Best Paper Award. IEEE Computer Society, July 2014, pp. 94–101.

EU FP7 Projekt CODE

COmmercially Empowered Linked Open Data Ecosystems in Research

2012 - 2014 (24 months)

The vision of CODE is to enable the long-tail of data publishers, data analysts, data integrators etc. to exploit the wealth of Linked Open Data combined with unstructured information analysis. The Linked Open Data Store will establish new commercial value-creation-chains among different roles in data marketplaces to foster business relationships around Linked Open Data.

Responsibilities:
  • Research in text mining and entity linking
Key Publications:
  • Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, and Roman Kern. Crowdsourcing Fact Extraction from Scientific Literature. In: Proc. Conference on Human-Computer Interaction and Knowledge Discovery (SouthCHI). Vol. 7947. LNCS. Maribor, Slovenia: Springer, July 2013, pp. 160–172.
  • Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, and Christin Seifert. Towards Disambiguating Web Tables. In: International Semantic Web Conference (Posters & Demos). 2013, pp. 205–208.

EU FP7 Projekt TEAM

Transferring knowledgE in Academic knowledge Management

2010 - 2012 (24 months)

TEAM is a research project funded by the European Commission in FP7 in the context of the Industry-Academia Partnerships and Pathways (IAPP) Action within the Marie Curie Programme. Research Focus: Content and structure analysis of academic papers. Text disambiugation and named entity recognition. Semantic metadata enrichment and integration. User profiling and tagging behaviour analysis. Personalized recommendations of academic papers.

Responsibilities:
  • Visiting researcher at Eliko, Tallin, Estonia
  • Coreference Resolution, Machine Learning
Key Publication:
  • Christin Seifert and Michael Granitzer. User-based active learning. In: Proceedings of 10th International Conference on Data Mining Workshops (ICDM2010). Ed. by Wei Fan, Wynne Hsu, Geoffrey I.Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, and Xindong Wu. Sydney, Australia, Dec. 2010, pp. 418–425.

2018

  • Martin Toepfer and Christin Seifert Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints Proc. International Conference on Theory and Practice of Digital Libraries (TPDL), 2018
  • Martin Toepfer and Christin Seifert Fusion Architectures for Automatic Subject Indexing under Concept Drift: Analysis and Empirical Results on Short Texts International Journal on Digital Libraries (IJDL), 2018
  • Tobias Milz and Christin Seifert Analysing Author Self-Citations in Computer Science Publications In: Proc. International Workshop on Technologies for Information Retrieval (TIR), Springer, 2018
  • Tobias Milz and Christin Seifert Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender In: Proc. International Conference on Theory and Practice of Digital Libraries (TPDL). 2018.
  • Jörg Schlötterer, Christin Seifert and Michael Granitzer QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals Proc. International Conference on Information Visualization (IV), 2018
  • Nils Witt, Michael Granitzer and Christin Seifert Collection-Document Summaries European Conference in Information Retrieval (ECIR), 2018

2017

  • Christin Seifert Contextialized and personalized explanations of machine learning algorithms White Paper for Workshop on Trustworthy Algorithmic Decision-Making, Washington D.C., 2017
  • Christin Seifert, Jörg Schlötterer and Michael Granitzer QueryCrumbs: A Compact Visualization for Navigating the Search Query History Proc. International Conference on Information Visualization (IV). Best Paper Award. 2017
  • Nils Witt and Christin Seifert Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks Proc. International Conference on Theory and Practice of Digital Libraries (TPDL), 2017
  • Martin Toepfer and Christin Seifert Towards Semantic Quality Control of Automatic Subject Indexing Proc. International Conference on Theory and Practice of Digital Libraries (TPDL), demo paper, 2017.
  • Jörg Schlötterer, Christin Seifert and Michael Granitzer On Joint Representation Learning of Network Structure and Document Content Proc. International Cross Domain Conference for Machine Learning and Knowledge Extraction, 2017.
  • Martin Toepfer and Christin Seifert Descriptor-invariant Fusion Architectures for Automatic Subject Indexing Proc. of Joint Conference on Digital Libraries (JCDL), ACM. Vennevar Bush Best Paper Nominee. 2017
  • Christin Seifert, Annett Mitschick, Jörg Schlötterer and Raimund Dachselt: Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data Proceedings Conference on Human Information Interaction and Retrieval, ACM, 2017
  • Christin Seifert, Aisha Aamir, Aparna Balagopalan, Dhruv Jain, Abhinav Sharma, Sebastian Grottel, Stefan Gumhold Visualizations of Deep Neural Networks in Computer Vision: A Survey In: Transparent Data Mining for Big and Small Data, Springer, 2017
  • Christin Seifert, Werner Bailer, Thomas Orgel, Louis Gantner, Roman Kern, Hermann Ziak, Albin Petit, Jörg Schlötterer, Stefan Zwicklbauer and Michael GranitzerUbiquitous Access to Digital Cultural Heritage J. Comput. Cult. Herit., ACM, 2017, 10, 4:1-4:27

2016

  • Stefan Zwicklbauer, Christin Seifert and Michael Granitzer. Robust and Collective Entity Disambiguation through Semantic Embeddings Proc. of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016
  • Stefan Zwicklbauer, Christin Seifert and Michael Granitzer. DoSeR – A Knowledge-Base-Agnostic Framework for Disambiguating Entities Using Semantic Embeddings Proc. European Semantic Web Conference (ESWC), 2016
  • Johannes Jurgovsky, Michael Granitzer, and Christin Seifert. Evaluating Memory Efficiency and Robustness of Word Embeddings Proc. of European Conference on Information Retrieval (ECIR), Honorable Mention. 2016.
  • Tamara Pianos and Christin Seifert Bringing Library Content to the Users with EEXCESS-Extensions and Plugins – Open Source Solutions to distribute Cultural and Scientific Content Library 2.016 - Libraries of the Future, 2016
  • Peter Stöhr and Christin Seifert Extending the Language of the Web for Dynamic Content Integration Athens: ATINER'S Conference Paper Series. No: COM2016-2063, 2016
  • Jörg Schlötterer and Christin Seifert and Michael Granitzer Supporting Web Surfers in Finding Related Material in Digital Library Repositories Proc. International Conference on Theory and Practice of Digital Libraries (TPDL), 2016
  • Nils Witt, Christin Seifert and Michael Granitzer Explaining Topical Distances Using Word Embeddings Proc. International Workshop on Text-Based Information Retrieval (TIR), 2016
  • Peter Stöhr and Christin Seifert Extending the Language of the Web for Dynamic Content Integration International Conference on Information Technology and Computer Science. Abstract Book, 2016
  • Michael Granitzer and Christin Seifert. Taking Cultural and Scientific Content to Users through the EEXCESS Project. In: D-Lib Magazine, 2016, 22

2015

  • Stefan Zwicklbauer, Christin Seifert Michael Granitzer. Linking Biomedical Data to the Cloud. English. In: Smart Health. Ed. by Andreas Holzinger, Carsten Röcker, and Martina Ziefle. Vol. 8700. Lecture Notes in Computer Science. Springer International Publishing, 2015, pp. 209–235. ISBN: 978-3-319-16225-6.
  • Christin Seifert and Michael Granitzer. EEXCESS: Personalised access to Long Tail content – New strategies for disseminating scientific and cultural content. In: Information - Wissenschaft & Praxis 66.2–3 (Apr. 2015). german, pp. 103–110. ISSN: 1619-4292 (Online).
  • Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, and Michael Granitzer. From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. In: Proc. European Conference on IR Research (ECIR 2015). Ed. by Allan Hanbury, Gabriella Kazai, Andreas Rauber, and Norbert Fuhr: LNCS 9022. Vienna, Austria: Springer, Mar. 2015, pp. 805–808.
  • Jörg Schlötterer, Christin Seifert, Lisa Wagner, and Michael Granitzer. A Game with a Purpose to Access Europe’s Cultural Treasure. In: Proceedings of the Second International Workshop on Gamification for Information Retrieval. Mar. 2015.
  • Christin Seifert, Jörg Schlötterer, and Michael Granitzer. Towards a Feature-Rich Data Set for Personalized Access to Long-Tail Content. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing. New York, NY, USA: ACM, Apr. 2015.
  • Christin Seifert, Jörg Schlötterer, and Michael Granitzer. User Interface Considerations for Browser-Based Just-In-Time Retrieval. In: Proc. International Conference on Information Visualization (IV). 2015.
  • Alexander Böhm, Christin Seifert, Jörg Schlötterer, and Michael Granitzer. Identifying Tweets from the Economic Domain. In: NLDB ISKO Workshop. 2015.
  • Timo Borst, Tamara Pianos, and Christin Seifert. EEXCESS - Toolbox for managing and disseminating digital library content. In: Emerging Technologies in Digital Libraries (emtacl). 2015.
  • Christin Seifert, Nils Witt, Sebastian Bayerl, and Michael Granitzer. Digital Library Content in the SocialWeb: Resource Usage and Content Injection. In: IEEE STCN Newsletter. Vol. 3. 1. 2015.
  • Stefan Zwicklbauer, Christin Seifert, and Michael Granitzer. From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. In: Proceedings of 26th International Conference on Database and Expert Systems Applications (DEXA). Springer, 2015.
  • Stefan Zwicklbauer, Christin Seifert, and Michael Granitzer. Search-based Entity Disambiguation with Document-Centric Knowledge Bases. In: Proceedings of the 14th International Conference on Knowledge Management and Knowledge Technologies (I-Know). 2015.

2014

  • Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, and Michael Granitzer. Visual Analysis and Knowledge Discovery for Text. In: Large Scale Data Analytics. Ed. by Aris Gkoulalas-Divanis and Abderrahim Labbi. Springer, 2014, pp. 189–218.
  • Andreas Holzinger, Johannes Schantl, Miriam Schroettner, Christin Seifert, and Karin Verspoor. Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. English. In: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. Ed. by Andreas Holzinger and Igor Jurisica. Vol. 8401. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014, pp. 271–300. ISBN: 978-3-662-43967-8.
  • Florian Stegmaier et al. Unleashing Semantics of Research Data. In: Specifying Big Data Benchmarks. Ed. by Tilmann Rabl, Meikel Poess, Chaitanya Baru, and Hans-Arno Jacobsen. Vol. 8163. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014, pp. 103– 112. ISBN: 978-3-642-53973-2.
  • Patrick Höfler, Michael Granitzer, Eduardo E. Veas, and Christin Seifert. Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. In: Proc. Workshop on Linked Data on the Web at World WideWeb Conference (WWW). Ed. by Christian Bizer, Tom Heath, Sören Auer, and Tim Berners-Lee. Seoul, Korea, Apr. 2014.
  • Kai Schlegel, Thomas Weissgerber, Florian Stegmaier, Christin Seifert, Michael Granitzer, and Harald Kosch. Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web. In: Post-Conference Proceedings of 11th European Semantic Web Conference. May 2014.
  • Jörg Schlötterer, Christin Seifert, and Michael Granitzer. Web-based Just-In-Time Retrieval for Cultural Content. In: PATCH ’14: Proceedings of the 7th International ACM Workshop on Personalized Access to Cultural Heritage. Feb. 2014.
  • Jörg Schlötterer, Christin Seifert, Roman Kern, and Michael Granitzer. From Tail to Head: Browser Based Suggestion of Long-tail Resources. In: Demos at International Conference on Knowledge Technologies and Data-driven Business. I-Know. Demo at I-Know. Sept. 2014.
  • Christin Seifert, Johannes Jurgovsky, and Michael Granitzer. FacetScape: A Visualization for Exploring the Search Space. In: Proc. International Conference on Information Visualization (IV). Best Paper Award. IEEE Computer Society, July 2014, pp. 94–101.

2013

  • Christin Seifert, Eva Ulbrich, Roman Kern, and Michael Granitzer. Text Representation for Efficient Document Annotation. In: Journal of Universal Computer Science 19.3 (Feb. 2013), pp. 383–405.
  • Michael Granitzer, Christin Seifert, Silvia Russegger, and Klaus Tochtermann. Unfolding Cultural, Educational and Scienti1c Long-Tail Content in the Web. In: UMAP Extended Proceedings. Ed. by Shlomo Berkovsky, Eelco Herder, Pasquale Lops, and Olga C. Santos. Vol. 997. June 2013.
  • Kai Schlegel, Sebastian Bayerl, Stefan Zwicklbauer, Florian Stegmaier, Christin Seifert, Michael Granitzer, and Harald Kosch. Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information. In: Proceedings of the 10th European Semantic Web Conference. poster. Montpellier, France, May 2013.
  • Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, and Roman Kern. Crowdsourcing Fact Extraction from Scientific Literature. In: Proc. Conference on Human-Computer Interaction and Knowledge Discovery (SouthCHI). Vol. 7947. LNCS. Maribor, Slovenia: Springer, July 2013, pp. 160–172.
  • Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, and Christin Seifert. Towards Disambiguating Web Tables. In: International Semantic Web Conference (Posters & Demos). 2013, pp. 205–208.
  • Stefan Zwicklbauer, Christin Seifert, and Michael Granitzer. Do we need entity-centric knowledge bases for entity disambiguation? In: Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies (I-Know). 2013.

2012

  • Wolfgang Kienreich and Christin Seifert. Visual Exploration of Feature-Class Matrices for Classification Problems. In: Procedings of Workshop on Visual Analytics (EuroVA). Vienna, June 2012.
  • Wolfgang Kienreich, Ralph Wozelka, Vedran Sabol, and Christin Seifert. Graph Visualization Using Hierarchical Edge Bundling. In: Proceedings of Workshop on Visual Analytics (EuroVA). Vienna, June 2012.
  • Barbara Kump, Christin Seifert, Guenter Beham, Stefanie Lindstaedt, and Tobias Ley. Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledg (LAK). 2012.
  • Vedran Sabol, Weng Onn Kow, Manuela Rauch, Eva Ulbrich, Christin Seifert, Michael Granitzer, and Dickson Lukose. Visual Ontology Alignment System - an Evaluation. In: Proceedings of SIGRAD. Nov. 2012.
  • Florian Stegmaier et al. Unleashing Semantics of Research Data. In: Proceedings Second Workshop on Big Data Benchmarking. Pune, India, Dec. 2012.

2011

  • Roman Kern, Christin Seifert, and Michael Granitzer. A Hybrid System for German Encyclopedia Alignment. In: International Journal on Digital Libraries (2011), pp. 1–15. ISSN: 1432-5012.
  • Roman Kern, Christin Seifert, Mario Zechner, and Michael Granitzer. Vote/Veto Meta- Classifier for Authorship Identification. In: 3rd International Competition on Plagiarism Detection. 2011.
  • Christin Seifert, Wolfgang Kienreich, and Michael Granitzer. Visualizing Text Classification Models with Voronoi Word Clouds. In: Proceedings 15th International Conference Information Visualisation (IV). poster. 2011.
  • Christin Seifert, Eva Ulbrich, and Michael Granitzer. Word Clouds for Efficient Document Labeling. In: The Fourteenth International Conference on Discovery Science. Espoo, Finland, Oct. 2011.

2010

  • Elisabeth Lex, Christin Seifert, Michael Granitzer, and Andreas Juffinger. Effcient Cross-Domain Classi1cation of Weblogs. In: International Journal of Computational Intelligence Research 1.1 (2010), pp. 69–76.
  • Wolfgang Kienreich and Christin Seifert. An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results. In: Proceedings of the 14 International Conference on Information Visualization (IV2010). IEEE Computer Society Press, 2010.
  • Barbara Kump, Christin Seifert, Günter Beham, Stefanie Lindstaedt, and Tobias Ley. My-Experiences: Visualizing Evidence in an Open Learner Model. In: Adjunct Proceedings International Conference on User Modeling, Adaptation, and Personalization (UMAP 2010). Poster. Big Island, HI, USA, 2010.
  • Vedran Sabol, Christin Seifert, and Wolfgang Kienreich. Integrating Node-Link-Diagrams and Information Landscapes: A Path-Finding Approach. In: Proceedings European Conference on Visualization (EuroVis). Poster and Demo at Eurovis 2010. June 2010.
  • Christin Seifert and Michael Granitzer. User-based active learning. In: Proceedings of 10th International Conference on Data Mining Workshops (ICDM2010). Ed. by Wei Fan, Wynne Hsu, Geoffrey I.Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, and Xindong Wu. Sydney, Australia, Dec. 2010, pp. 418–425.
  • Christin Seifert, Vedran Sabol, and Michael Granitzer. Classifier Hypothesis Generation Using Visual Analysis Methods. In: Proc. of Networked Digital Technologies (NDT). Ed. by Filip Zavoral, Jakub Yaghob, Pit Pichappan, and Eyas El-Qawasmeh. Vol. 87. Communications in Computer and Information Science. Heidelberg: Springer, 2010, pp. 98–111. ISBN: 978-3-642-14291-8.
  • Christin Seifert, Vedran Sabol, and Wolfgang Kienreich. Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualizations. In: European Symposium Visual Analytics Science and Technology (EuroVAST). 2010.

2009

  • Michael Granitzer, Andreas S. Rath, Mark Kröll, Christin Seifert, Doris Ipsmiller, Didier Devaurs, Nicolas Weber, and Stefanie Lindstaedt. Machine Learning based Work Task Classification. In: Journal of Digital Information Management (JDIM) 7.5 (2009).
  • Michael Granitzer, Christin Seifert, and Mario Zechner. Context based Wikipedia Linking. In: Advances in Focused Retrieval, International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX2008). Ed. by Shlomo Geva, Jaap Kamps, and Andrew Trotman. Springer, 2009.
  • Wolfgang Kienreich and Christin Seifert. Scalable, interactive visualization of hierarchical knowledge repositories. In: 3rd International Conference on Integrity, Reliabilility & Failure (IRF). Porto, Portugal, 2009. URL: http://paginas.fe.up.pt/clme/IRF2009/ PROCEEDINGS/PAPERS/A0260.pdf.
  • Elisabeth Lex, Christin Seifert, Michael Granitzer, and Andreas JuWnger. Automated Blog Classification: A Cross-Domain Approach. In: Proc. of IADIS International Conference WWW/Internet. 2009.
  • Elisabeth Lex, Christin Seifert, Michael Granitzer, and Andreas Juffinger. Cross-Domain Classification: Trade-Off between Complexity and Accuracy. In: Proceedings of the 4th International Conference for Internet Technology and Secured Transactions (ICITST). 2009.
    • DOI
    • Christin Seifert and Elisabeth Lex. A Novel Visualization Approach for Data-Mining-Related Classification. In: Proc. of the International Conference on Information Visualisation (IV). Wiley, July 2009, pp. 490–495.
    • Christin Seifert and Elisabeth Lex. A Visualization to Investigate and Give Feedback to Classifiers. In: Proceedings European Conference on Visualization (EuroVis). poster. June 2009.

    2008

    • Michael Granitzer, Mark Kröll, Christin Seifert, Andreas S. Rath, Nicolas Weber, Olivia Dietzel, and Stefanie Lindstaedt. Analysis of Machine Learning Techniques for Context Extraction. In: Proceedings of 2008 International Conference on Digital Information Management (ICDIM08). Ed. by IEEE Computer Society Press. London, UK, Nov. 2008.
    • Michael Granitzer, Christin Seifert, and Mario Zechner. Context Resolution Strategies for Automatic Wikipedia Learning. In: INEX 2008 pre-proceedings. Ed. by Shlomo Geva, Jaap Kamps, and Andrew Trotman. Dagstuhl, Germany, Dec. 2008, pp. 292–304.
    • Elisabeth Lex, Christin Seifert, Wolfgang Kienreich, and Michael Granitzer. A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data. In: Journal of Digital Information Management (JDIM) 6.6 (Dec. 2008). ISSN: 0972-7272.
    • Michael Granitzer, Mario Zechner, Christin Seifert, Josef Kolbitsch, Peter Kemper, and Ronald In‘t Velt. Evaluation of Automatic Linking Strategies for Wikipedia Pages. In: Proceedings of the IADIS WWW/Internet Conference 2008. Freiburg, Germany, Oct. 2008.
    • Wolfgang Kienreich, Elisabeth Lex, and Christin Seifert. APA Labs: An Experimental Web- Based Platform for the Retrieval and Analysis of News Articles. In: Proceedings of the 1rst International Conference on the Applications and Digital Information and Web Technologies (ICADIWT08). Ostrava, Czech Republic: IEEE Computer Society, Aug. 2008, pp. 58–62.
    • Christin Seifert, Barbara Kump, Wolfgang Kienreich, Gisela Granitzer, and Michael Granitzer. On the beauty and usability of tag clouds. In: Proceedings of the 12th International Conference on Information Visualisation (IV). Los Alamitos, CA, USA: IEEE Computer Society, July 2008, pp. 17–25. DOI: http://doi.ieeecomputersociety.org/10.1109/IV. 2008.89.

    2007

    • Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, and Gerhard Paar. Learning to Detect Windows in Urban Environments. In: Proc. 31stWorkshop of the Austrian Association for Pattern Recognition (AAPR / ÖAGM 2007). Krumbach, Austria, 2007, pp. 73–80.
    • Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, and Gerhard Paar. Window Detection in Facades. In: 14th International Conference on Image Analysis and Processing (ICIAP 2007). Ed. by Rita Cucchiara. IEEE Computer Society, 2007, pp. 837–842.

    2006

    • Gerald Fritz, Christin Seifert, and Lucas Paletta. A Mobile Vision System for Urban Object Detection with Informative Local Descriptors. In: Proc. IEEE 4th International Conference on Computer Vision Systems, ICVS. New York, NY, Jan. 2006.
    • Lucas Paletta, Gerald Fritz, Christin Seifert, Patrick Luley, and Alexander Almer. A Mobile Vision System for Multimedia Trouist Applications in Urban Environment. In: Proc IEEE Intelligent Transportation System Conference (ITSC2006). Toronto, Canada, Sept. 2006.
    • Christin Seifert, Gerald Fritz, and Lucas Paletta. Local Descriptor Groupings in Reinforcement Learning of Sensory-Motor Attention. In: European Conference on Visual Perception (ECVP2006). Vol. 35. abstracts. Proc. of 29th European Conference on Visual Perception (ECVP 2006). St. Petersburg, Russia: Pion Ltd, London, UK, Aug. 2006, p. 48.
    • Linde Vande Velde, Patrick Luley, Alexander Almer, Christin Seifert, and Lucas Paletta. Intelligent Maps for Vision Enhanced Mobile Interfaces in Urban Scenarios. In: Proc. 12th World Congress on Intelligent Transportation Systems and Services, ITS 2006, London, UK, Oct. 2006.

    2005

    • Gerald Fritz, Christin Seifert, Manish Kumar, and Lucas Paletta. Building Detection from Mobile Phone Imagery Using Informative SIFT Descriptors. In: Proc. 19th Scandinavian Conference on Image Analyssis, (SCIA). Lecture Notes in Computer Science, LNCS 3540. Joensuu, Finland: Springer-Verlag, June 2005, pp. 629–638.
    • Gerald Fritz, Christin Seifert, and Lucas Paletta. Urban Object Recognition from Informative Local Features. In: Proc. IEEE International Conference on Robotics and Automation, ICRA. Barcelona, Spain, Apr. 2005, pp. 132–138.
    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Attentive Object Detection Using an Information Theoretic Saliency Measure. In: Proc. 2nd International Workshop on Attention and Performance in Computational Vision. Ed. by Lucas Paletta, John K. Tsotsos, Erich Rome, and Glyn W. Humphreys. Lecture Notes in Computer Science, LNCS 3368. Berlin, Germany: Springer-Verlag, 2005, pp. 29–41.
    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Learning Informative SIFT Descriptors for Attentive Object Detection. In: Proc. Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, HACIPPR. Best Paper Award. Veszprem, Hungary, May 2005, pp. 95–102.
    • Patrick Luley, Alexander Almer, Christin Seifert, Gerald Fritz, and Lucas Paletta. A Multi- Sensor System for Mobile Services with Visual Enhanced Object and Location Awareness. In: Proc 2nd IEEE International Workshop on Mobile Commerce and Service. Munich, Germany, July 2005, pp. 52–58.
    • Lucas Paletta, Gerald Fritz, and Christin Seifert. Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies. In: Proc. CVPR 3rd International Workshop on Attention and Performance in Computational Vision, WAPCV. San Diego, CA, June 2005.
    • Lucas Paletta, Gerald Fritz, and Christin Seifert. Perception-Action Based Object Detection From Local Descriptor Combination And Reinforcement Learning. In: Proc. 19th Scandinavian Conference on Image Analysis, (SCIA). Lecture Notes in Computer Science, LNCS 3540. Joensuu, Finland: Springer-Verlag, June 2005, pp. 639–648.
    • Lucas Paletta, Gerald Fritz, and Christin Seifert. Q-Learning of Sequential Attention for Visual Object Recognition from Informative Local Descriptors. In: Proc. 22nd International Conference on Machine Learning, ICML 2005. Bonn, Germany, Aug. 2005, pp. 649–656.
    • Lucas Paletta, Gerald Fritz, and Christin Seifert. Reinforcement Learning of Informative Attention Patterns for Object Recognition. In: Proc. 4th IEEE International Conference on Development and Learning (ICDL). Osaka, Japan, July 2005, pp. 188–193.
    • Lucas Paletta, Gerald Fritz, and Christin Seifert. Sequential Attention for Object Discrimination Using Reinforcement Learning from Informative Descriptors. In: Proc. Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, HACIPPR. Veszprem, Hungary, May 2005, pp. 79–86.
    • Lucas Paletta, Gerald Fritz, Christin Seifert, Patrick Luley, and Alexander Almer. Visual Object Recognition in Mobile Imagery for Situated Tourist Information Systems. In: Proc. Workshop on Wearable and Pervasive Computing, Telecommunications and Mobile Computing Graz Series, TCMC. Graz, Austria, Mar. 2005.
    • Lucas Paletta, Patrick Luley, Alexander Almer, Gerald Fritz, Christin Seifert, Harald Stelzl, and Mathias Schardt. Mobile Application Systems using Visual Object and Position Awareness. In: Proc. European Conference on Navigation, GNSS. Munich, Germany, July 2005.
    • Lucas Paletta, Christin Seifert, and Gerald Fritz. Contextual Working Memory for Trans- Saccadic Object Recognition Using Reinforcement Learning and Informative Local Descriptors. In: Proc. European Conference on Visual Perception, ECVP. Coruna, Spain, Aug. 2005, p. 69.
    • Lucas Paletta, Christin Seifert, and Gerald Fritz. Sequential Attention and Saccadic Grouping for Object Discrimination Using Reinforcement Learning. In: Proc. 1st Austrian Cognitive Vision Workshop, ACVW. Zell an der Pram, Austria, Jan. 2005, pp. 99–106.
    • Christin Seifert, Gerald Fritz, Lucas Paletta, and Horst Bischof. Learning Informative SIFT Descriptors for Attentive Object Recognition. In: Proc. 1st Austrian Cognitive Vision Workshop, ACVW. Zell an der Pram, Austria, Jan. 2005, pp. 67–74.
    • Gerald Fritz, Christin Seifert, Patrick Luley, Lucas Paletta, and Alexander Almer. “Mobile Vision for Ambient Learning in Urban Environments”. In: Proceedings of the International Conference on Mobile Learning (MLEARN 2004). July 2004.

    2004

    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Attentive Object Detection Using an Information Theoretic Saliency Measure. In: Proc. ECCV 2nd InternationalWorkshop on Attention and Performance in Computational Vision. Prague, Czech Republic, May 2004, pp. 136–143.
    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Entropy based Saliency Maps for Object Recognition. In: Proc. Early Cognitive Vision Workshop, (ECOVISION). Isle of Skye, UK, May 2004.
    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Learning to Focus Attention on Discriminative Regions for Object Detection. In: Proc. European Conference on Artificial Intelligence (ECAI). Valencia, Spain, Aug. 2004, pp. 932–936.
    • Gerald Fritz, Christin Seifert, Lucas Paletta, and Horst Bischof. Rapid Object Recognition from Discriminative Regions of Interest. In: Proc. 19th National Conference on Artificial Intelligence, AAAI. San Jose, CA, July 2004, pp. 444–449.
    • Lucas Paletta, Christin Seifert, and Gerald Fritz. Saccadic Object Recognition using a Markov Decision Process in a Cascaded Framework. In: Proc. European Conference on Visual Perception, ECVP. Budapest, Hungary, Aug. 2004, p. 126.
    • Christin Seifert. AIMS2 – Ein Immunsystem-Simulator. In: Tagungsband: Informatiktage 2003. Fachwissenschaftlicher Informatik-Kongress. Bad Schussenried: Konradin Verlagsgruppe, 2004, pp. 80–83.

    Technical Reports

    • Christin Seifert, Jörg Schlötterer, Cecilia di Sciascio, Belgin Mutlu, Gerwald Tschinkel and Vedran Sabol D2.6 – Second Usability Evaluation Report Know-Center GmbH, 2016
    • Jörg Schlötterer, Christin Seifert, Nils Witt, Johannes Jurgovsky and Stefan Zwicklbauer D5.4 – Final Prototype on User Profile and Context Detection, Usage Analysis Methods and Services University of Passau, 2016
    • Christin Seifert, Jörg Schlötterer, Cecilia di Sciascio, Belgin Mutlu, Gerwald Tschinkel, Peter Hasitschka and Vedran Sabol D2.5 – Final Software Components for Presentation and Augmentation Interfaces Know-Center GmbH, 2016
    • Michael Granitzer, Christin Seifert, Jörg Schlötterer, Thomas Orgel, Thomas Cerques, Roman Kern, Vedran Sabol, Louis Gantner D1.3 – Third Conceptual Architecture and Requirements Definition University of Passau, 2016
    • Gerhard Doppler, Atif Latif, Christopher Koska, Petr Knoth, Christin Seifert, Gordon McKenna D7.5 – Second Evaluation Report Test Beds BIT Media, 2016
    • Christin Seifert, Jörg Schlötterer, Nils Witt, Johannes Jurgovsky and Stefan Zwicklbauer D5.3 – Second Prototype on User Profile and Context Detection, Usage Analysis Methods and Services University of Passau, 2015
    • Christin Seifert, Jörg Schlötterer, Cecilia di Sciascio, Belgin Mutlu, Gerwald Tschinklel and Vedran Sabol D2.4 – Second Software Components for Presentation and Augmentation Interfaces Know-Center GmbH, 2015
    • Michael Granitzer, Christin Seifert, Jörg Schlötterer, Thomas Orgel, Silvia Russegger, Kris Jack, Nils Witt, Timo Borst, Gordon McKenna, Louis Gantner, Gerhard Doppler, Vedran Sabol, Hermann Ziak, Christopher Koska and Thomas Cerques D1.2 – Second Conceptual Architecture and Requirements Definition University of Passau, 2015
    • Christin Seifert, Jörg Schlötterer, Andreas Eisenkolb, Cecilia di Sciascio, and Vedran Sabol D2.3 –First Usability Report Know-Center GmbH, 2015
    • Sonia Ben Mokhtar, Nadia Bennani, Lionel Brunie, Sylvie Calabretto, Thomas Cerqueus, Elöd Egyed-Zsigmond, Omar Hasan, Albin Petit, Pierre-Edouard Portier, Michael Granitzer, Christin Seifert and Jörg Schlötterer D6.3 – Second Security Proxy Prototype and Reputation Protocols INSA, 2014
    • Christin Seifert, Jörg Schlötterer, Andreas Eisenkolb, Cecilia di Sciascio, and Vedran Sabol D2.2. –First Software Components for Presentation and Augmentation Interfaces Know-Center GmbH, 2014
    • Christin Seifert, Jörg Schlötterer, Nils Witt, Timo Borst, Sebastian Bayerl, and Andreas Eisenkolb D5.2 – First Prototype on User Profile and Context Detection, Usage Analysis Methods and Services University of Passau, 2014
    • Sonia Ben Mokhtar, Nadia Bennani, Lionel Brunie, Thomas Cerqueus, Elöd Egyed-Zsigmond, Omar Hasan, Albin Petit, Pierre-Edouard Portier, Michael Granitzer, Christin Seifert and Jörg Schlötterer D6.2 – First Security Proxy Prototype and Reputation Protocols INSA, 2014
    • Christin Seifert, Jörg Schlötterer, Aenne Loehden, Christina Niklaus, Gerhard Doppler, Kim Plassmeier, Henning Manske D5.1 – Usage Pattern and Context Dection Specification and Analysis University of Passau, 2013
    • Sonia Ben Mokhtar, Nadia Bennani, Lionel Brunie, Thomas Cerqueus, Elöd Egyed-Zsigmond, Omar Hasan, Albin Petit, Pierre-Edouard Portier, Michael Granitzer, Christin Seifert and Jörg Schlötterer D6.1 – Policy Model for Privacy Preservation and Feasibility Report INSA, 2013
    • Michael Granitzer, Christin Seifert and Work Package Leader D1.1 – First Conceptual Architecture and Requirements Definition University of Passau, 2013
    • Christin Seifert, Roman Kern and Michael Granitzer D2.2 – Performance report of coreference resolution in academic research papers Technical University of Graz, 2011

Lectures

  • Winter term 2017 | Complex Systems Engineering (German) | Bachelor Mobile and Embedded Systems | University of Passau, Germany
  • Summer term 2016 | Search User Interfaces (German) | Master, Diploma and Bachelor Courses Computer Science | University of Dresden, Germany
  • November 2015 | Search User Interfaces for Digital Library Content | Conference Tutorial | Artificial Intelligence and Natural Language Conference (AINL-FRUCT)| Saint Petersburg, Russia
  • Summer term 2015 | Visual Analytics (English) | Master Courses Computer Science, Media and Communication | University of Passau, Germany
  • Winter term 2014/15 | Data Mining (German) | Bachelor Courses Computer Science, Internet Computing, Mathematics | University of Passau, Germany
  • Summer term 2014 | Visual Analytics (German) | Master Courses Computer Science, Media and Communication | University of Passau, Germany
  • Summer term 2013 | Social and user-centered Aspects of web-based Information Systems (German) | Section Human-Computer-Interaction | Master Courses Computer Science, Media and Communication | University of Passau
  • Summer term 2012 | Introduction to Mediainformatics (German) | Sections Algorithms & Data Structures, Python | Bachelor Course Media and Communication | University of Passau, Germany
  • Summer 2004 | Artificial Intelligence (German) | Bachelor Courses | Summerschool "Didact", Salzburg, Austria.

Tutorials

  • Summer term 2017 | Visual Analytics (English) | Master Courses Computer Science, Media and Communication | University of Passau
  • Winter term 2016/17 | Social and user-centered Aspects of web-based Information Systems (German) Master Courses Computer Science, Media and Communication | University of Passau
  • Summer term 2016 | Search User Interfaces (German) | Master, Diploma and Bachelor Courses Computer Science | University of Dresden, Germany
  • Summer term 2014 | Social and user-centered Aspects of web-based Information Systems (German) | Master Courses Computer Science, Media and Communication | University of Passau
  • Summer term 2013 | Social and user-centered Aspects of web-based Information Systems (German) | Master Courses Computer Science, Media and Communication | University of Passau
  • Summer term 2012 | Introduction to Mediainformatics (German) | Sections Algorithms & Data Structures, Python | Bachelor Course Media and Communication | University of Passau, Germany

Seminars

  • Winter term 2017 | Data Science and Intelligent Sytems (English) | Master Computer Science | University of Passau, Germany
  • Winter term 2017 | Complex and Intelligent Sytems (Graduate Seminar, English) | Master Computer Science | University of Passau, Germany
  • Summer term 2015 | Master's Seminar Mediainformatics (German) | Master Course Computer Science | University of Passau, Germany
  • Winter term 2013 | Search User Interfaces (German) | Master Course Media and Communication | University of Passau, Germany

Guest Lectures

  • Winter term 2011 | Semantic Technologies (English) | Guest Lectures "Text Classification", "Plagiarism Detection"| Master Course Computer Science | Technical University Graz, Austria
  • Winter term 2010 | Semantic Technologies (English) | Guest Lectures "Inductive Reasoning", "Machine Learning", "OWL and Description Logics" | Master Course Computer Science | Technical University Graz, Austria
  • Winter term 2010 | Knowledge Technologies (English) | Guest Lecture "Text Classification and Visualisation" | Master Course Computer Science | Technical University Graz, Austria

Pedagogical Qualification

  • In 07/2016 I recieved the Certificate for Teaching in Higher Education – Specialisation Level of the Bavarian Universities covering 80 units.
  • In 03/2015 I received the Certificate for Teaching in Higher Education of the Bavarian Universities covering 127 units.
  • Topics covered by the program are
    • Teaching and Learning Concepts,
    • Presenation and Communication,
    • Examination,
    • Reflection and Evaluation, and
    • Advising and Mentoring.

Cooperations in EU Projects

  • Bit Media, Graz, AT, EU Project EEXCESS
  • LIRIS Laboratory, INSA, Lyon, FR, EU Project EEXCESS
  • ZBW, Kiel, DE, EU Project EEXCESS
  • DIGITAL Institute, Joanneum Research, Graz, AT, EU Project EEXCESS
  • Collections Trust, London, UK, EU Project EEXCESS
  • Museum Basel Land, Liestal, CH, EU Project EEXCESS
  • Wissen Media Verlag GmbH, Gütersloh, DE, EU Project EEXCESS
  • Mendeley Ltd., London, UK, EU Project EEXCESS and EU Project CODE
  • Know-Center, Graz, AT, EU Project EEXCESS and EU Project CODE
  • MeisterLabs, Munich, DE, EU Project CODE

Invited Talks

Conference & Workshop Presentations

  • 2017 | QueryCrumbs: A Compact Visualization for Navigating the Search Query History, International Conference on Information Visualisation, London, UK
  • 2015 | A Game with a Purpose to Access Europe’s Cultural Treasure, ECIR Workshop on Gamification for Information Retrieval (GamifIR) Vienna, Austria
  • 2015 | Towards a Feature-Rich Data Set for Personalized Access to Long-Tail Content, ACM Symposium on Applied Computing, Salamanca, Spain
  • 2014 | FacetScape: A Visualization for Exploring the Search Space, International Conference on Information Visualisation, Paris, France
  • 2013 | Crowdsourcing Fact Extraction from Scientific Literature, Conference on Human-Computer Interaction and Knowledge Discovery (SouthCHI), Maribor, Slowenia
  • 2011 | Word Clouds for Efficient Document Labeling International Conference on Discovery Science, Espoo, Finnland
  • 2010 | User-based active learning Active Learning Workshop, International Conference on Data Mining (ICDM), Sydney, Australia
  • 2010 | An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results International Conference on Information Visualisation, Barcelona, Spain
  • 2010 | Classifier Hypothesis Generation Using Visual Analysis Methods International Conference on Networked Digital Technologies (NDT), Prague, Czech Republic
  • 2009 | Visual knowledge discovery in dynamic enterprise text repositories International Conference on Information Visualisation, London, UK
  • 2009 | A Novel Visualization Approach for Data-Mining-Related Classification, International Conference on Information Visualisation, London, UK
  • 2008 | APA Labs: An Experimental Web-Based Platform for the Retrieval and Analysis of News Articles International Conference on the Applications and Digital Information and Web Technologies (ICADIWT), Ostrava, Czech Republic
  • 2008 | The beauty and usability of tag clouds International Conference on Information Visualisation, London, UK
  • 2005 | Sequential Attention for Object Discrimination Using Reinforcement Learning from Informative Descriptors, Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, Zell an der Pram, Austria
  • 2017 | Vennevar Bush Best Paper Nominee | Descriptor-invariant Fusion Architectures for Automatic Subject IndexingJoint Conference on Digital Libraries, Toronto, Canada
  • 2016 | Honorable MentionEvaluating Memory Efficiency and Robustness of Word Embeddings | European Conference on Information Retrieval
  • 2014 | Best Paper Award | FacetScape: A Visualization for Exploring the Search Space International Conference on Information Visualization, Paris, France
  • 2013 | Stipendiary | Mentoring Program for female Scientists, University of Passau, Germany
  • 2011 | 3rd prize | PAN Authorship Identification Challenge
  • 2008 | 2nd prize | INEX Challenge - Link the Wiki Track
  • 2008 | Stipendiary | Career Program for female Scientists, Karl-Franzens-University, Graz, Austria
  • 2006 | Nominee | Europrix Top Talent Award "MORE for Graz", Category "Mobile Contents", Vienna, Austria
  • 2005 | Best Paper Award | Learning Informative SIFT-Descriptors for Attentive Object Recognition, Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, Vezprem, Hungary
  • 2002 | 4th prize | SAS Mining Challenge
  • 2002 | 5th prize | German Data Mining Cup
  • 2002 | 1st prize | RoboCup, Technical University Chemnitz