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 a Full Professor at the Institute for Artificial Intelligence at University of Duisburg-Essen.
I have been excited about all flavours of machine learning for a long time. In particular, I am passionate about bridging the gap between algorithmics and the human. I strongly believe that algorithms should be designed in a way that tightly integrates the user and her mental models of her material world, and the (immaterial) data collected to describe it; Artificial intelligences should be able to explain their reasoning and basis of decision making to end users — in a way that relates to their physical reality and that they can understand. In consequence, my research is characterised by interdisciplinarity and a broad range of application areas. My core research interests are explainable machine learning, and data mining, as well as intersections with human-computer interaction, information visualization, and information retrieval; detours include natural language processing and technology enhanced learning. My publication list gives an impression of how my research interests evolved. Today, it includes 97 peer-reviewed papers, 11 journal articles and 5 book chapters that mark different stages of my scientific (and personal) development.
I hold a Ph.D. from the Technical 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

Publications

OrcID | DBLP | Google Scholar
PDF versions are author copies of the accepted paper/article. Rights remain with the publisher.

2023

  • Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen and Christin SeifertFrom Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI ACM Comput. Surv., Associaton for Computing Machinery, 2023
  • Max T. Rietberg, Van Bach Nguyen, Jeroen Geerdink, Onno Vijlbrief and Christin Seifert Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models Diagnostics, Vol. 13, No. 7, 2023
  • Katarzyna Borys, Yasmin A. Schmitt, Meike Nauta, Christin Seifert, Nicole Krämer, Christoph M. Friedrich and Felix Nensa Explainable AI in Medical Imaging: An overview for clinical practitioners – Saliency-based XAI approaches European Journal of Radiology, p. 110787, 2023
  • Katarzyna Borys, Yasmin A. Schmitt, Meike Nauta, Christin Seifert, Nicole Krämer, Christoph M. Friedrich and Felix Nensa Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches European Journal of Radiology, Vol.162, p. 110786, 2023

2022

  • Changqing Lu, Shreyasi Pathak, Gwenn Englebienne, Christin Seifert. Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need? IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
  • Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus, and Christin Seifert. Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset Proc. EMNLP Workshop on Text Simplification, Accessibility, and Readability (TSAR), 2022.
  • Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, and Christin Seifert. Model Personalization with Static and Dynamic Patients’ Data Proc. ICDM Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH) 2022 Best Paper Award.
  • Meike Nauta, Ricky Walsh, Adam Dubowski, and Christin Seifert. Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis. Diagnostics. 2022.
  • Sultan Imangaliyev, Jörg Schlötterer, Folker Meyer and Christin Seifert. Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data Diagnostics. 2022.
  • Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, and Michael Granitzer. The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). 2022. ACM. Best Paper Award (Resource Paper Track).
  • Van Bach Nguyen, Jan Trienes, Meike Nauta, Shreyasi Pathak, Paul Youssef, Sultan Imangaliyev, Jörg Schlötterer and Christin Seifert. PPLM Revisited: Steering and Beaming a Lumbering Mammoth to Control Text Generation, ICLR Blog Track, 2022.
  • Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Yvonne Kammerer and Christin Seifert. How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022
  • Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne and Christin Seifert. It’s Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI ACM Trans. Comput.-Hum. Interact., Vol. 29, No. 4, 2022
  • Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman and Christin Seifert. Radiology report generation for proximal femur fractures using deep classification and language generation models Artificial Intelligence in Medicine, Volume 128, 2022, 102281, ISSN 0933-3657
  • Saber Zerhoudi, Christin Seifert, Jörg Schlötterer and Michael Granitzer. Evaluating Simulated User Interaction and Search Behaviour Advances in Information Retrieval (ECIR 2022), 2022
  • Saber Zerhoudi, Michael Granitzer, Christin Seifert and Jörg Schlötterer. Simulating User Interaction and Search Behaviour in Digital Libraries Proc. Italian Research Conference on Digital Libraries, 2022

2021

  • Meike Nauta, Ron van Bree and Christin Seifert. Neural Prototype Trees for Interpretable Fine-grained Image Recognition IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14933-14943
  • Hendrick Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert and Folker Meyer. Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP), IEEE Conf. on Cognitive Machine Intelligence (CogMI), 2021
  • Meike Nauta, Annemarie Jutte, Jesper Provoost and Christin Seifert. This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Proc. ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD), 2021
  • Dou Liu, Tingting Zhu, Jörg Schlötterer, Christin Seifert and Shenghui Wang. Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification Text, Speech, and Dialogue. TSD 2021. Springer LNCS, 2021
  • Meike Nauta, and Ron van Bree and Christin Seifert. Intrinsically Interpretable Image Recognition with Neural Prototype Trees. In Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision: CVPR 2021 Workshop. 2021.
  • Claudia Libbi, Jan Trienes, Dolf Trieschnigg and Christin Seifert. Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records Future Internet, Vol. 13, No. 5, 2021
  • Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel van Putten and Christin Seifert. STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring Artificial Intelligence in Medicine, 2021
  • Bram de Vries, Han Hegeman, Wieke Nijmeijer, Jeroen Geerdink, Christin Seifert and Karin Groothuis-Oudshoorn. Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis Osteoporosis International, 2021
  • Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer and Christin Seifert. Query Change as a Contextual Markov Model for Simulating User Search Behaviour Proceedings of the 12th Forum for Information Retrieval Evaluation, 2021

2020

  • Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert and Maurice van Keulen Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records Proc. International Conference on Data Mining Workshops (DMBIH), IEEE, 2020
  • Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen and Christin Seifert A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports Proc. International Conference on Cognitive Machine Intelligence, IEEE, 2020
  • Mihai David Marin, E. Mocanu and Christin Seifert Effectiveness of neural language models for word prediction of textual mammography reports Proc. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 2020
  • Meike Nauta and Michel J.A.M. van Putten and Marleen C. Tjepkema-Cloostermans and Jeroen Peter Bos and Maurice van Keulen and Christin Seifert Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients International Workshop on Knowledge Discovery in Healthcare Data (KDH), 2020
  • Francesca Marazza, Faiza Allah Bukhsh, Jeroen Geerdink, Onno Vijlbrief, Shreyasi Pathak, Maurice van Keulen and Christin Seifert Automatic Process Comparison for Subpopulations: Application in Cancer Care Int. J. Environ. Res. Public Health 16(17) , 2020
  • Jan Trienes, Dolf Trieschnigg, Christin Seifert and Djoerd Hiemstra Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records Proc. Health Search and Data Mining Workshop, 2020, Best Paper Award.
  • Jörg Schlötterer, Christin Seifert and Michael Granitzer QueryCrumbs Search History Visualization - Usability, Transparency and Long-term Usage Journal of Computer Languages, 2020
  • Valentine Legoy, Marco Caselli, Andreas Peter and Christin Seifert rcATT: retrieving ATT&CK tactics and techniques in cyberthreat reports FIRST Cyber Threat Intelligence Symposium, 2020
    • (Extended Version)
  • Maurice van Keulen, Christin Seifert, Mannes Poel and Karin Groothuis-Oudshoorn Scalable Interdisciplinary Data Science Teaching at the University of Twente, Berlin Journal of Data Science, 2020 , 1

2019

  • Christin Seifert, Stefanie Scherzinger and Lena Wiese Towards Generating Consumer Labels for Machine Learning Models International Conference on Cognitive Machine Intelligence, 2019
  • Andrea Papenmeier, Gwenn Englebienne and Christin Seifert How model accuracy and explanation fidelity influence user trust in AI IJCAI Workshop on Explainable Artificial Intelligence (X-AI), Best Paper, 2019
  • Abraham Theodorus, Meike Nauta and Christin Seifert Evaluating CNN Interpretabilty on Sketch Classification International Conference on Machine Vision, 2019
  • Kilian Ros, Elena Mocanu and Christin Seifert Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data International Conference on Collaboration and Internet Computing (CIC), 2019
  • Michelle Peters, Lindsay Kempen, Meike Nauta and Christin Seifert Visualising the Training Process of Convolutional Neural Networks for Non-Experts Benelux Conference on Artificial Intelligence (BNAIC), 2019
  • Francesca Marazza, Faiza Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyaasi Pathak, Maurice van Keulen and Christin Seifert Comparing Process Models for Patient Populations: Application in Breast Cancer Care Proc. International Workshop on Process-Oriented Data Science for Healthcare, 2019
  • Stefanie Scherzinger, Christin Seifert and Lena Wiese The Best of both Worlds: Challenges in Linking Provenance and Explainability in Distributed ML Proc. International Conference on Distributed Computing Systems (ICDCS), 2019
  • Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert and Maurice van Keulen Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 1-1
    • DOI
    • CodeOcean
  • Meike Nauta, Doina Bucur and Christin Seifert Causal Discovery with Attention-Based Convolutional Neural Networks Mach. Learn. Knowl. Extr. 2019, 1, 312-340.
    • Paper with code

2018

  • Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert and Maurice van Keulen Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance Proc. Workshop on Data Mining in Biomedical Informatics and Healthcare, 2018
  • Nils Witt, Tobias Milz and Christin Seifert Most Important First – Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases Proc. International Conference on Discovery Science, 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 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. Vannevar 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, and 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

Teaching

Modules

  • Q1 - Q3 2018/19, 2019/20 | Data Science (English) | Master Course | University of Twente, The Netherlands
  • Q1 2018/19 2019/20 | Pearls of Computer Science, Pearl Intelligent Interaction | Bachelor Computer Science | University of Twente, The Netherlands
  • Q3 2017/18 | Data Science (English) | Master Course | University of Twente, The Netherlands

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.

Seminars

  • Q4 2018/2019 | Research Methods in Databased and Information Retrieval | Master Courses Computer Science, Human-Machine Interaction | University of Twente
  • 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

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

Labs

  • Q3 2018/19 | Design Project (English)| Bachelor Computer Science | University of Twente

Pedagogical Qualification

  • In 07/2016 I received 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,
    • Presentation and Communication,
    • Examination,
    • Reflection and Evaluation, and
    • Advising and Mentoring.

Awards & Scholarships

  • 2020 | Best Paper Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records Health Search and Data Mining Workshop, Houston, Texas
  • 2019 | Best Paper How model accuracy and explanation fidelity influence user trust in AI IJCAI Workshop on Explainable Artificial Intelligence (X-AI), Macao, China
  • 2018 | Personal Grant, Incentive Fund, University of Twente, The Netherlands Funded research visits at the Naval Research Center for Artificial Intelligence, Washington, D.C. and Georgia Tech, Atlanta in 2019
  • 2017 | Best Paper Award QueryCrumbs: A Compact Visualization for Navigating the Search Query History International Conference on Information Visualization (IV), London, UK
  • 2017 | Vannevar Bush Best Paper Nominee | Descriptor-invariant Fusion Architectures for Automatic Subject Indexing Joint Conference on Digital Libraries, Toronto, Canada
  • 2017 | Best Paper | QueryCrumbs: A Compact Visualization for Navigating the Search Query History International Conference on Information Visualization, London, UK
  • 2016 | Honorable Mention | Evaluating Memory Efficiency and Robustness of Word Embeddings | European Conference on Information Retrieval
  • 2014 | Best Paper | FacetScape: A Visualization for Exploring the Search Space International Conference on Information Visualization, Paris, France
  • 2011 | 3rd prize | PAN Authorship Identification Challenge
  • 2008 | 2nd prize | INEX Challenge - Link the Wiki Track
  • 2006 | Nominee | Europrix Top Talent Award "MORE for Graz", Category "Mobile Contents", Vienna, Austria
  • 2005 | Best Paper | Learning Informative SIFT-Descriptors for Attentive Object Recognition, Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, Vezprem, Hungary