I am a Full Professor at the Department of Computer Science an Mathemtatics at the Philipps-University Marburg, Germany and the Hessian Center for Artificial Intelligence.
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 natural language processing as well as intersections with human-computer interaction, and information retrieval.
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.
- current
- Full Professor, Artificial Intelligence, University of Marburg, Germany and Hessian Center for Artificial Intelligence
Guest Associate Professor, Data Science Group, University of Twente, Enschede, The Netherlands
- 2020 - 2023
- Full Professor, Institute for Artificial Intelligence in Medicine, University of Duisburg-Essen, Essen, Germany
- 2018 - 2020
- Assistant Professor, Data Science Group, University of Twente, Enschede, The Netherlands
- 10/2017 - 02/2018
- Full Professor of Complex and Intelligent Systems Engineering (Interim, Vertretungsprofessur), University of Passau, Germany
- 04 - 09/2016
- Guest Professor,
Technical University Dresden, Germany
- 2012 - 2017
- Postdoctoral Researcher and Assistant Professor, Chair of Data Science (formerly Media Computer Science), University of Passau, Germany. EU FP7 EEXCESS, EU FP7 CODE.
- 2012
- Ph.D. (Dr. techn.), Institute for Knowledge Management, Technical University Graz, Austria
- 2007 - 2012
- Research Associate, Technical University Graz, and Know-Center GesmbH,
Graz, Austria. FIT-IT Projekt DYONIPOS, EU FP7 Project Aposdle.
- 2004 - 2007
- Research and Project Assistant,
Joanneum Research GesmbH,
Graz, Austria. EU FP6 MACS, EU FP6 MOBVIS.
2023
- Meike Nauta, Jörg Schlötterer, Maurice van Keulen and Christin Seifert (2023). PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
- Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer, Christin Seifert and Dagmar Kern Know What Not To Know: Users’ Perception of Abstaining Classifiers Companion Publication of the 2023 ACM Designing Interactive Systems Conference (DIS), 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
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- Christine Bauer et al. Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education SIGIR Forum , Vol. 57, No. 1, Association for Computing Machinery: New York, NY, USA
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Helmut Seidl and Christin Seifert (eds.), Proceedings of the 2023 Joint Workshop of the German Research Training Groups in Computer Science [online]. 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
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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.
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Jörg Schlötterer, Christin Seifert and Michael Granitzer QueryCrumbs Search History Visualization - Usability, Transparency and Long-term Usage Journal of Computer Languages, 2020
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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
- 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
- Meike Nauta, Doina Bucur and Christin Seifert Causal Discovery with Attention-Based Convolutional Neural Networks Mach. Learn. Knowl. Extr. 2019, 1, 312-340.
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
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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
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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.
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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
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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
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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
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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
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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
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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
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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
Last update Nov 2020
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.
Last update Nov 2020
- 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
