2025

• Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger (2025).
  Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates.
  Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), accepted.
  [Link].
  BibTeX

  @inproceedings{Kostikova2025,
  author = {Aida Kostikova and Dominik Beese and Benjamin Paassen and Ole Pütz and Gregor Wiedemann and Steffen Eger},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  note = {accepted},
  title = {Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates},
  url = {https://arxiv.org/abs/2210.04359},
  year = {2025}
  }
  

2024

• Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann (2024).
  Aligning Generalisation Between Humans and Machines.
  arXiv.
  [Link].
  BibTeX

  @online{Ilievski2024,
  archiveprefix = {arXiv},
  author = {Filip Ilievski and Barbara Hammer and Frank van Harmelen and Benjamin Paassen and Sascha Saralajew and Ute Schmid and Michael Biehl and Marianna Bolognesi and Xin Luna Dong and Kiril Gashteovski and Pascal Hitzler and Giuseppe Marra and Pasquale Minervini and Martin Mundt and Axel-Cyrille Ngonga Ngomo and Alessandro Oltramari and Gabriella Pasi and Zeynep G. Saribatur and Luciano Serafini and John Shawe-Taylor and Vered Shwartz and Gabriella Skitalinskaya and Clemens Stachl and Gido M. van de Ven and Thomas Villmann},
  eprint = {2411.15626},
  journal = {arXiv},
  primaryclass = {cs.AI},
  title = {Aligning Generalisation Between Humans and Machines},
  url = {https://arxiv.org/abs/2411.15626},
  year = {2024}
  }
  

• Philipp Vaeth, Alexander M. Fruehwald, Benjamin Paassen, Magda Gregorova (2024).
  Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability.
  arXiv.
  [Link].
  BibTeX

  @online{Vaeth2024,
  archiveprefix = {arXiv},
  author = {Philipp Vaeth and Alexander M. Fruehwald and Benjamin Paassen and Magda Gregorova},
  eprint = {2410.20890},
  journal = {arXiv},
  primaryclass = {cs.LG},
  title = {Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability},
  url = {https://arxiv.org/abs/2410.20890},
  year = {2024}
  }
  

• Düsing, Christoph, Cimiano, Philipp, Paassen, Benjamin (2024).
  Leveraging Local Data Sampling Strategies to Improve Federated Learning.
  International Journal of Data Science and Analytics.
  [doi:10.1007/s41060-024-00625-7].
  BibTeX

  @article{Duesing2024,
  author = {Düsing, Christoph and Cimiano, Philipp and Paassen, Benjamin},
  doi = {10.1007/s41060-024-00625-7},
  journal = {International Journal of Data Science and Analytics},
  title = {Leveraging Local Data Sampling Strategies to Improve Federated Learning},
  year = {2024}
  }
  

• Alina Deriyeva, Jesper Dannath, Benjamin Paassen (2024).
  Incorporating Struggle in Performance Factors Analysis for Programming Education.
  In: Francisco Bellas, Jens Dörpinghaus, Oscar Fontenla-Romero, Michael Tiemann (eds.) Proceedings of the International Workshop on AI in Education and Educational Research at the 27th European Conference on Artificial Intelligence (ECAI 2024), accepted, Santiago de Compostela, Spain.
  
  BibTeX

  @inproceedings{Deriyeva2024ECAI,
  author = {Alina Deriyeva and Jesper Dannath and Benjamin Paassen},
  booktitle = {Proceedings of the International Workshop on AI in Education and Educational Research at the 27th European Conference on Artificial Intelligence (ECAI 2024)},
  editor = {Francisco Bellas and Jens Dörpinghaus and Oscar Fontenla-Romero and Michael Tiemann},
  note = {accepted},
  title = {Incorporating Struggle in Performance Factors Analysis for Programming Education},
  venue = {Santiago de Compostela, Spain},
  year = {2024}
  }
  

• Staps, Daniel and Villmann, Thomas and Paassen, Benjamin (2024).
  K Minimum Enclosing Balls for Outlier Detection.
  In: Villmann, Thomas and Kaden, Marika and Geweniger, Tina and Schleif, Frank-Michael (eds.) Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024), pp. 174–184, Mittweida, Germany.
  [doi:10.1007/978-3-031-67159-3_20], [Link].
  BibTeX

  @inproceedings{Staps2024,
  address = {Cham},
  author = {Staps, Daniel
  and Villmann, Thomas
  and Paassen, Benjamin},
  booktitle = {Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024)},
  doi = {10.1007/978-3-031-67159-3_20},
  editor = {Villmann, Thomas
  and Kaden, Marika
  and Geweniger, Tina
  and Schleif, Frank-Michael},
  pages = {174–184},
  publisher = {Springer Nature Switzerland},
  title = {K Minimum Enclosing Balls for Outlier Detection},
  url = {https://pub.uni-bielefeld.de/record/2992094},
  venue = {Mittweida, Germany},
  year = {2024}
  }
  

• Störck, Felix and Hinder, Fabian and Brinkrolf, Johannes and Paassen, Benjamin and Vaquet, Valerie and Hammer, Barbara (2024).
  FairGLVQ: Fairness in Partition-Based Classification.
  In: Villmann, Thomas and Kaden, Marika and Geweniger, Tina and Schleif, Frank-Michael (eds.) Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024), pp. 141–151, Mittweida, Germany.
  [doi:10.1007/978-3-031-67159-3_17], [Link].
  BibTeX

  @inproceedings{Stoerck2024,
  address = {Cham},
  author = {Störck, Felix
  and Hinder, Fabian
  and Brinkrolf, Johannes
  and Paassen, Benjamin
  and Vaquet, Valerie
  and Hammer, Barbara},
  booktitle = {Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024)},
  doi = {10.1007/978-3-031-67159-3_17},
  editor = {Villmann, Thomas
  and Kaden, Marika
  and Geweniger, Tina
  and Schleif, Frank-Michael},
  pages = {141–151},
  publisher = {Springer Nature Switzerland},
  title = {FairGLVQ: Fairness in Partition-Based Classification},
  url = {https://arxiv.org/abs/2410.12452},
  venue = {Mittweida, Germany},
  year = {2024}
  }
  

• Benjamin Paaßen, Nadine Gaisa, Michael Rose, Mark-Sebastian Bösherz (2024).
  Tumor Grading via Decorrelated Sparse Survival Regression.
  In: Michel Verleysen (eds.) 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium.
  [doi:10.14428/esann/2024.ES2024-44].
  BibTeX

  @inproceedings{Paassen2024ESANN,
  author = {Benjamin Paaßen and Nadine Gaisa and Michael Rose and Mark-Sebastian Bösherz},
  booktitle = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
  doi = {10.14428/esann/2024.ES2024-44},
  editor = {Michel Verleysen},
  title = {Tumor Grading via Decorrelated Sparse Survival Regression},
  venue = {Bruges, Belgium},
  year = {2024}
  }
  

• Rui Liu, Benjamin Paaßen (2024).
  Few-shot similarity learning for motion classification via electromyography.
  In: Michel Verleysen (eds.) 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium.
  [doi:10.14428/esann/2024.ES2024-43].
  BibTeX

  @inproceedings{Liu2024,
  author = {Rui Liu and Benjamin Paaßen},
  booktitle = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
  doi = {10.14428/esann/2024.ES2024-43},
  editor = {Michel Verleysen},
  title = {Few-shot similarity learning for motion classification via electromyography},
  venue = {Bruges, Belgium},
  year = {2024}
  }
  

• Alina Deriyeva, Jesper Dannath, Benjamin Paaßen (2024).
  Relation between struggle and learning personality in programming exercises.
  In: Sandra Schulz, Natalie Kiesler (eds.) 22. Fachtagung Bildungstechnologien (DELFI), Fulda, Germany.
  [doi:10.18420/delfi2024_46].
  BibTeX

  @inproceedings{Deriyeva2024,
  address = {Bonn},
  author = {Alina Deriyeva and Jesper Dannath and Benjamin Paaßen},
  booktitle = {22. Fachtagung Bildungstechnologien (DELFI)},
  doi = {10.18420/delfi2024_46},
  editor = {Sandra Schulz and Natalie Kiesler},
  publisher = {Gesellschaft für Informatik e.V.},
  title = {Relation between struggle and learning personality in programming exercises},
  venue = {Fulda, Germany},
  year = {2024}
  }
  

• Jesper Dannath, Alina Deriyeva, Benjamin Paaßen (2024).
  Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming.
  In: Sandra Schulz, Natalie Kiesler (eds.) 22. Fachtagung Bildungstechnologien (DELFI), Fulda, Germany.
  [doi:10.18420/delfi2024_07].
  BibTeX

  @inproceedings{Dannath2024,
  address = {Bonn},
  author = {Jesper Dannath and Alina Deriyeva and Benjamin Paaßen},
  booktitle = {22. Fachtagung Bildungstechnologien (DELFI)},
  doi = {10.18420/delfi2024_07},
  editor = {Sandra Schulz and Natalie Kiesler},
  publisher = {Gesellschaft für Informatik e.V.},
  title = {Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming},
  venue = {Fulda, Germany},
  year = {2024}
  }
  

• Strotherm, Janine and Müller, Alissa and Hammer, Barbara and Paassen, Benjamin (2024).
  Fairness in KI-Systemen.
  In: Schork, Sabrina (eds.) Vertrauen in Künstliche Intelligenz: Eine multi-perspektivische Betrachtung, pp. 163–183.
  [doi:10.1007/978-3-658-43816-6_9], [Link].
  BibTeX

  @inbook{Strotherm2024,
  address = {Wiesbaden},
  author = {Strotherm, Janine
  and Müller, Alissa
  and Hammer, Barbara
  and Paassen, Benjamin},
  booktitle = {Vertrauen in Künstliche Intelligenz: Eine multi-perspektivische Betrachtung},
  doi = {10.1007/978-3-658-43816-6_9},
  editor = {Schork, Sabrina},
  pages = {163–183},
  publisher = {Springer Fachmedien Wiesbaden},
  title = {Fairness in KI-Systemen},
  url = {https://arxiv.org/abs/2307.08486},
  year = {2024}
  }
  

• Sören Rüttgers, Ulrike Kuhl, Benjamin Paaßen (2024).
  Automatic Matchmaking in two-versus-two sports.
  In: Carrie Demmans Epp, Benjamin Paaßen, Mirko Marras, Maomi Ueno (eds.) Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), pp. 458–468, Atlanta, GA, USA.
  [doi:10.5281/zenodo.12729860], [Link].
  BibTeX

  @inproceedings{Ruettgers2024,
  author = {Sören Rüttgers and Ulrike Kuhl and Benjamin Paaßen},
  booktitle = {{Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024)}},
  date = {2024-07-16},
  doi = {10.5281/zenodo.12729860},
  editor = {Carrie Demmans Epp and Benjamin Paaßen and Mirko Marras and Maomi Ueno},
  pages = {458–468},
  title = {Automatic Matchmaking in two-versus-two sports},
  url = {https://educationaldatamining.org/edm2024/proceedings/2024.EDM-short-papers.45/index.html},
  venue = {Atlanta, GA, USA},
  year = {2024}
  }
  

• Alonso Palomino, Andreas Fischer, Jakub Kuzilek, Jarek Nitsch, Niels Pinkwart, Benjamin Paaßen (2024).
  EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language.
  In: Chang, Kai-Wei, Lee, Annie, Rajani, Nazneen (eds.) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies (Volume 3: System Demonstrations), pp. 26–35, Mexico City, Mexico.
  [Link].
  BibTeX

  @inproceedings{Palomino2024,
  author = {Alonso Palomino and Andreas Fischer and Jakub Kuzilek and Jarek Nitsch and Niels Pinkwart and Benjamin Paaßen},
  booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies (Volume 3: System Demonstrations)},
  editor = {Chang, Kai-Wei and Lee, Annie and Rajani, Nazneen},
  pages = {26–35},
  title = {EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language},
  url = {https://aclanthology.org/2024.naacl-demo.3},
  venue = {Mexico City, Mexico},
  year = {2024}
  }
  

• Thekla Morgenroth, Christopher T. Begeny, Teri A. Kirby, Benjamin Paaßen, Yanzhe Zeng (2024).
  Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US Americans.
  Self and Identity 23 (1), pp. 70-94.
  [doi:10.1080/15298868.2024.2322179], [Link].
  BibTeX

  @article{Morgenroth2024,
  author = {Thekla Morgenroth, Christopher T. Begeny, Teri A. Kirby, Benjamin Paaßen and Yanzhe Zeng},
  doi = {10.1080/15298868.2024.2322179},
  journal = {Self and Identity},
  number = {1},
  pages = {70-94},
  publisher = {Routledge},
  title = {Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US Americans},
  url = {https://6065f709-e7d1-45f5-8165-0af3d7b11614.filesusr.com/ugd/d76e66_74f615cd7e82464b9ee1cb3a623fbcab.pdf},
  volume = {23},
  year = {2024}
  }
  

2023

• Berit Blanc, Insa Reichow, Benjamin Paaßen (2023).
  Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen.
  In: Rene Röpke, Ulrik Schroeder (eds.) 21. Fachtagung Bildungstechnologien (DELFI), pp. 293–294, Aachen, Germany.
  [doi:10.18420/delfi2023-61].
  BibTeX

  @inproceedings{Blanc2023,
  address = {Bonn},
  author = {Berit Blanc and Insa Reichow and Benjamin Paaßen},
  booktitle = {21. Fachtagung Bildungstechnologien (DELFI)},
  doi = {10.18420/delfi2023-61},
  editor = {Rene Röpke and Ulrik Schroeder},
  pages = {293–294},
  publisher = {Gesellschaft für Informatik e.V.},
  title = {Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen},
  venue = {Aachen, Germany},
  year = {2023}
  }
  

• Tobias Baumgartner, Benjamin Paaßen, Stefanie Klatt (2023).
  Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation.
  nature scientific reports 13 (14031).
  [doi:10.1038/s41598-023-41142-0].
  BibTeX

  @article{Baumgartner2023,
  author = {Tobias Baumgartner and Benjamin Paaßen and Stefanie Klatt},
  doi = {10.1038/s41598-023-41142-0},
  journal = {nature scientific reports},
  number = {14031},
  title = {Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation},
  volume = {13},
  year = {2023}
  }
  

• Philipp Vaeth, Alexander M. Fruehwald, Benjamin Paaßen, Magda Gregorova (2023).
  Diffusion-based Visual Counterfactual Explanations – Towards Systematic Quantitative Evaluation.
  In: Riccardo Guidotti, Francesca Naretto, Tania Cerquitelli, Przemyslaw Biecek, Daniele Regoli (eds.) Proceedings of the 5th International Workshop on eXplainable Knowledge Discovery in Data Mining at the European Conference on Machine Learning (ECML), Turin, Italy.
  [Link].
  BibTeX

  @inproceedings{Vaeth2023,
  author = {Philipp Vaeth and Alexander M. Fruehwald and Benjamin Paaßen and Magda Gregorova},
  booktitle = {Proceedings of the 5th International Workshop on eXplainable Knowledge Discovery in Data Mining at the European Conference on Machine Learning (ECML)},
  editor = {Riccardo Guidotti and Francesca Naretto and Tania Cerquitelli and Przemyslaw Biecek and Daniele Regoli},
  title = {Diffusion-based Visual Counterfactual Explanations – Towards Systematic Quantitative Evaluation},
  url = {https://arxiv.org/abs/2308.06100},
  venue = {Turin, Italy},
  year = {2023}
  }
  

• Johannes Schleiss, Dana-Kristin Mah, Katrin Böhme, David Fischer, Janne Mesenhöller, Benjamin Paaßen, Sabrina Schork, Johannes Schrumpf (2023).
  Künstliche Intelligenz in der Bildung. Drei Zukunftsszenarien und fünf Handlungsfelder.
  Discussion Paper.
  [doi:10.5281/zenodo.7702620].
  BibTeX

  @report{Schleiss2023,
  author = {Johannes Schleiss and Dana-Kristin Mah and Katrin Böhme and David Fischer and Janne Mesenhöller and Benjamin Paaßen and Sabrina Schork and Johannes Schrumpf},
  doi = {10.5281/zenodo.7702620},
  institution = {KI-Campus},
  language = {German},
  month = {March},
  title = {Künstliche Intelligenz in der Bildung. Drei Zukunftsszenarien und fünf Handlungsfelder},
  type = {Discussion Paper},
  year = {2023}
  }
  

2022

• Benjamin Paaßen, Julian Dehne, Swathi Krishnaraja, Anastasia Kovalkov, Kobi Gal, Niels Pinkwart (2022).
  A conceptual graph-based model of creativity in learning.
  Frontiers in Education 7.
  [doi:10.3389/feduc.2022.1033682].
  BibTeX

  @article{Paassen2022Frontiers,
  author = {Benjamin Paaßen and Julian Dehne and Swathi Krishnaraja and Anastasia Kovalkov and Kobi Gal and Niels Pinkwart},
  doi = {10.3389/feduc.2022.1033682},
  journal = {Frontiers in Education},
  title = {A conceptual graph-based model of creativity in learning},
  volume = {7},
  year = {2022}
  }
  

• Benjamin Paaßen, Tobias Baumgartner, Mai Geisen, Nina Riedl, Miloš Kravčík (2022).
  Few-shot Keypose Detection for Learning of Psychomotor Skills.
  In: Khaleel Asyraaf Mat Sanusi, Bibeg Limbu, Jan Schneider, Daniele Di Mitri, Roland Klemke (eds.) Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022), pp. 22–27, Toulouse, France.
  [Link].
  BibTeX

  @inproceedings{Paassen2022MILeS,
  author = {Benjamin Paaßen and Tobias Baumgartner and Mai Geisen and Nina Riedl and Miloš Kravčík},
  booktitle = {Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2022)},
  editor = {Khaleel Asyraaf Mat Sanusi and Bibeg Limbu and Jan Schneider and Daniele Di Mitri and Roland Klemke},
  pages = {22–27},
  title = {Few-shot Keypose Detection for Learning of
  Psychomotor Skills},
  url = {http://ceur-ws.org/Vol-3247/paper4.pdf},
  venue = {Toulouse, France},
  year = {2022}
  }
  

• Benjamin Paaßen, Irena Koprinska, Kalina Yacef (2022).
  Recursive Tree Grammar Autoencoders.
  Machine Learning 111, pp. 3393–3423, Special Issue of the ECML PKDD 2022 Journal Track.
  [doi:10.1007/s10994-022-06223-7], [Link].
  BibTeX

  @article{Paassen2022RTGAE,
  author = {Benjamin Paaßen and Irena Koprinska and Kalina Yacef},
  doi = {10.1007/s10994-022-06223-7},
  journal = {Machine Learning},
  note = {Special Issue of the ECML PKDD 2022 Journal Track},
  pages = {3393–3423},
  title = {Recursive Tree Grammar Autoencoders},
  url = {https://arxiv.org/abs/2012.02097},
  volume = {111},
  year = {2022}
  }
  

• Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart (2022).
  Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings.
  In: Jeanine Antoinette DeFalco, Diego Dermeval Medeiros da Cunha Matos, Berit Blanc, Insa Reichow (eds.) Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022) Practitioner’s Track, pp. 132–137, Durham, UK.
  [doi:10.1007/978-3-031-11647-6_23], [Link].
  BibTeX

  @inproceedings{Paassen2022AIED,
  author = {Benjamin Paaßen and Malwina Dywel and Melanie Fleckenstein and Niels Pinkwart},
  booktitle = {{Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022) Practitioner’s Track}},
  date = {2022-07-29},
  doi = {10.1007/978-3-031-11647-6_23},
  editor = {Jeanine Antoinette DeFalco and Diego Dermeval Medeiros da Cunha Matos and Berit Blanc and Insa Reichow},
  pages = {132–137},
  title = {Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings},
  url = {https://bpaassen.gitlab.io/aied_2022.pdf},
  venue = {Durham, UK},
  year = {2022}
  }
  

• Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart (2022).
  Sparse Factor Autoencoders for Item Response Theory.
  In: Alexandra I. Cristea, Chris Brown, Tanja Mitrovic, Nigel Bosch (eds.) Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), pp. 17–26, Durham, UK.
  [doi:10.5281/zenodo.6853067].
  BibTeX

  @inproceedings{Paassen2022EDMSparFAE,
  author = {Benjamin Paaßen and Malwina Dywel and Melanie Fleckenstein and Niels Pinkwart},
  booktitle = {{Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022)}},
  date = {2022-07-24},
  doi = {10.5281/zenodo.6853067},
  editor = {Alexandra I. Cristea and Chris Brown and Tanja Mitrovic and Nigel Bosch},
  pages = {17–26},
  title = {Sparse Factor Autoencoders for Item Response Theory},
  venue = {Durham, UK},
  year = {2022}
  }
  

• Benjamin Paaßen, Christina Göpfert, Niels Pinkwart (2022).
  Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood.
  In: Alexandra I. Cristea, Chris Brown, Tanja Mitrovic, Nigel Bosch (eds.) Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), pp. 555–559, Durham, UK.
  [doi:10.5281/zenodo.6852950].
  BibTeX

  @inproceedings{Paassen2022EDM,
  author = {Benjamin Paaßen and Christina Göpfert and Niels Pinkwart},
  booktitle = {{Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022)}},
  date = {2022-07-24},
  doi = {10.5281/zenodo.6852950},
  editor = {Alexandra I. Cristea and Chris Brown and Tanja Mitrovic and Nigel Bosch},
  pages = {555–559},
  title = {Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood},
  venue = {Durham, UK},
  year = {2022}
  }
  

• Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef (2022).
  Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencing.
  In: Alexandra I. Cristea, Chris Brown, Tanja Mitrovic, Nigel Bosch (eds.) Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), pp. 217–227, Durham, UK.
  [doi:10.5281/zenodo.6853131].
  BibTeX

  @inproceedings{Picones2022EDM,
  author = {Gio Picones and Benjamin Paaßen and Irena Koprinska and Kalina Yacef},
  booktitle = {{Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022)}},
  date = {2022-07-24},
  doi = {10.5281/zenodo.6853131},
  editor = {Alexandra I. Cristea and Chris Brown and Tanja Mitrovic and Nigel Bosch},
  pages = {217–227},
  title = {Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencing},
  venue = {Durham, UK},
  year = {2022}
  }
  

• Insa Reichow, Katja Buntins, Benjamin Paaßen, Hasan Abu-Rasheed, Christian Weber, Mareike Dornhöfer (2022).
  Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen. Ein Dossier im Rahmen des INVITE-Wettbewerbs.
  Dossier.
  [doi:10.25656/01:24517].
  BibTeX

  @report{Reichow2022,
  address = {Berlin},
  author = {Insa Reichow and Katja Buntins and Benjamin Paaßen and Hasan Abu-Rasheed and Christian Weber and Mareike Dornhöfer},
  doi = {10.25656/01:24517},
  institution = {mmb Institut, Deutsches Forschungszentrum für Künstliche Intelligenz, Universität Siegen},
  publisher = {DIPF},
  title = {Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen. Ein Dossier im Rahmen des INVITE-Wettbewerbs},
  type = {Dossier},
  year = {2022}
  }
  

• Benjamin Paaßen, Alexander Schulz, Barbara Hammer (2022).
  Reservoir Stack Machines.
  Neurocomputing 470, pp. 352–364.
  [doi:10.1016/j.neucom.2021.05.106], [Link].
  BibTeX

  @article{Paassen2022Neurocomputing,
  author = {Benjamin Paaßen and Alexander Schulz and Barbara Hammer},
  doi = {10.1016/j.neucom.2021.05.106},
  journal = {Neurocomputing},
  pages = {352–364},
  title = {Reservoir Stack Machines},
  url = {https://arxiv.org/abs/2105.01616},
  volume = {470},
  year = {2022}
  }
  

• Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer (2022).
  Reservoir Memory Machines as Neural Computers.
  IEEE Transactions on Neural Networks and Learning Systems 33 (6), pp. 2575–2585, Special Issue: New Frontiers in Extremely Efficient Reservoir Computing.
  [doi:10.1109/TNNLS.2021.3094139], [Link].
  BibTeX

  @article{Paassen2022TNNLS,
  author = {Benjamin Paaßen and Alexander Schulz and Terrence C. Stewart and Barbara Hammer},
  doi = {10.1109/TNNLS.2021.3094139},
  editor = {Gouhei Tanaka and Claudio Gallicchio and Alessio Micheli and Juan-Pablo Ortega and Akira Hirose},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  location = {Special Issue: New Frontiers in Extremely Efficient Reservoir Computing},
  number = {6},
  pages = {2575–2585},
  title = {Reservoir Memory Machines as Neural Computers},
  url = {https://arxiv.org/abs/2009.06342},
  volume = {33},
  year = {2022}
  }
  

2021

• Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal (2021).
  Automatic Creativity Measurement in Scratch Programs Across Modalities.
  IEEE Transactions on Learning Technologies 14 (6), pp. 740–753.
  [doi:10.1109/TLT.2022.3144442], [Link].
  BibTeX

  @article{Kovalkov2021TLT,
  author = {Anastasia Kovalkov and Benjamin Paaßen and Avi Segal and Niels Pinkwart and Kobi Gal},
  doi = {10.1109/TLT.2022.3144442},
  journal = {IEEE Transactions on Learning Technologies},
  number = {6},
  pages = {740–753},
  title = {Automatic Creativity Measurement in Scratch Programs Across Modalities},
  url = {https://arxiv.org/abs/2211.05227},
  volume = {14},
  year = {2021}
  }
  

• Davide Bacciu, Filippo Maria Bianchi, Benjamin Paaßen, Cesare Alippi (2021).
  Deep learning for graphs.
  In: Michel Verleysen (eds.) Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), pp. 89–98, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Bacciu2021ESANN,
  author = {Davide Bacciu and Filippo Maria Bianchi and Benjamin Paaßen and Cesare Alippi},
  booktitle = {{Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021)}},
  date = {2021-10},
  editor = {Michel Verleysen},
  pages = {89–98},
  title = {Deep learning for graphs},
  url = {https://www.esann.org/sites/default/files/proceedings/2021/ES2021-5.pdf},
  venue = {Bruges, Belgium},
  year = {2021}
  }
  

• Benjamin Paaßen, Miloš Kravčík (2021).
  Teaching psychomotor skills using machine learning for error detection.
  In: Roland Klemke, Khaleel Asyraaf Mat Sanusi, others (eds.) Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems (MILeS 2021), pp. 8–14, virtual.
  [Link].
  BibTeX

  @inproceedings{Paassen2021MILeS,
  author = {Benjamin Paaßen and Miloš Kravčík},
  booktitle = {Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2021)},
  editor = {Roland Klemke and Khaleel Asyraaf Mat Sanusi and others},
  pages = {8–14},
  title = {Teaching psychomotor skills using machine learning for error detection},
  url = {http://ceur-ws.org/Vol-2979/paper1.pdf},
  venue = {virtual},
  year = {2021}
  }
  

• Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef (2021).
  Mapping Python Programs to Vectors using Recursive Neural Encodings.
  Journal of Educational Datamining 13 (3), pp. 1–35.
  [doi:10.5281/zenodo.5634224], [Link].
  BibTeX

  @article{Paassen2021JEDM,
  author = {Benjamin Paaßen and Jessica McBroom and Bryn Jeffries and Irena Koprinska and Kalina Yacef},
  doi = {10.5281/zenodo.5634224},
  journal = {Journal of Educational Datamining},
  number = {3},
  pages = {1–35},
  title = {Mapping Python Programs to Vectors using Recursive Neural Encodings},
  url = {https://jedm.educationaldatamining.org/index.php/JEDM/article/view/499},
  volume = {13},
  year = {2021}
  }
  

• Benjamin Paaßen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer (2021).
  Graph Edit Networks.
  In: Shakir Mohamed, Katja Hofmann, Alice Oh, Naila Murray, Ivan Titov (eds.) Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021), virtual.
  [Link].
  BibTeX

  @inproceedings{Paassen2021ICLR,
  author = {Benjamin Paaßen and Daniele Grattarola and Daniele Zambon and Cesare Alippi and Barbara Hammer},
  booktitle = {Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021)},
  editor = {Shakir Mohamed and Katja Hofmann and Alice Oh and Naila Murray and Ivan Titov},
  title = {Graph Edit Networks},
  url = {https://openreview.net/forum?id=dlEJsyHGeaL},
  venue = {virtual},
  year = {2021}
  }
  

• Benjamin Paaßen (2021).
  An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.
  In: Nora Reyes, Richard Connor, Nils Kriege, Daniyal Kazempour, Ilaria Bartolini, Erich Schubert, Jian-Jia Chen (eds.) Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021), pp. 364–371, virtual.
  [doi:10.1007/978-3-030-89657-7_27], [Link].
  BibTeX

  @inproceedings{Paassen2021SISAP,
  author = {Benjamin Paaßen},
  booktitle = {Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021)},
  doi = {10.1007/978-3-030-89657-7_27},
  editor = {Nora Reyes and Richard Connor and Nils Kriege and Daniyal Kazempour and Ilaria Bartolini and Erich Schubert and Jian-Jia Chen},
  language = {English},
  pages = {364–371},
  publisher = {Springer},
  title = {An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs},
  url = {https://arxiv.org/abs/2108.00953},
  venue = {virtual},
  year = {2021}
  }
  

• Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef (2021).
  Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints.
  In: Bita Akram, Thomas Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao (eds.) Proceedings of the 5th Educational Data Mining in Computer Science Workshop (CSEDM 2021), pp. 1–8, virtual.
  [Link].
  BibTeX

  @inproceedings{Paassen2021CSEDM,
  author = {Benjamin Paaßen and Jessica McBroom and Bryn Jeffries and Irena Koprinska and Kalina Yacef},
  booktitle = {Proceedings of the 5th Educational Data Mining in Computer Science Workshop (CSEDM 2021)},
  editor = {Bita Akram and Thomas Price and Yang Shi and Peter Brusilovsky and Sharon I-Han Hsiao},
  language = {English},
  pages = {1–8},
  publisher = {International Educational Datamining Society},
  title = {Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints},
  url = {http://ceur-ws.org/Vol-3051/CSEDM_3.pdf},
  venue = {virtual},
  year = {2021}
  }
  

• Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Kobi Gal, Niels Pinkwart (2021).
  Modeling Creativity in Visual Programming: From Theory to Practice.
  In: François Bouchet, Jill-Jênn Vie, Sharon Hsiao, Sherry Sahebi (eds.) Proceedings of the 15th International Conference on Educational Data Mining (EDM 2021), virtual.
  [Link].
  BibTeX

  @inproceedings{Kovalkov2021EDM,
  author = {Anastasia Kovalkov and Benjamin Paaßen and Avi Segal and Kobi Gal and Niels Pinkwart},
  booktitle = {Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021)},
  editor = {François Bouchet and Jill-Jênn Vie and Sharon Hsiao and Sherry Sahebi},
  language = {English},
  publisher = {International Educational Datamining Society},
  title = {Modeling Creativity in Visual Programming: From Theory to Practice},
  url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_44.pdf},
  venue = {virtual},
  year = {2021}
  }
  

• Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart (2021).
  Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.
  In: François Bouchet, Jill-Jênn Vie, Sharon Hsiao, Sherry Sahebi (eds.) Proceedings of the 15th International Conference on Educational Data Mining (EDM 2021), virtual.
  [Link].
  BibTeX

  @inproceedings{Paassen2021EDM,
  author = {Benjamin Paaßen and Andreas Bertsch and Katharina Langer-Fischer and Sylvio Rüdian and Xia Wang and Rupali Sinha and Jakub Kuzilek and Stefan Britsch and Niels Pinkwart},
  booktitle = {Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021)},
  editor = {François Bouchet and Jill-Jênn Vie and Sharon Hsiao and Sherry Sahebi},
  language = {English},
  publisher = {International Educational Datamining Society},
  title = {Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks},
  url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_67.pdf},
  venue = {virtual},
  year = {2021}
  }
  

• Jessica McBroom, Benjamin Paaßen, Bryn Jeffries, Irena Koprinska, Kalina Yacef (2021).
  Progress Networks as a Tool for Analysing Student Programming Difficulties.
  In: Claudia Szabo, Judy Sheard (eds.) Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE ‘21), pp. 158–167, virtual.
  [doi:10.1145/3441636.3442366].
  BibTeX

  @inproceedings{McBroom2021ACE,
  author = {Jessica McBroom and Benjamin Paaßen and Bryn Jeffries and Irena Koprinska and Kalina Yacef},
  booktitle = {Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE '21)},
  doi = {10.1145/3441636.3442366},
  editor = {Claudia Szabo and Judy Sheard},
  pages = {158–167},
  publisher = {Association for Computing Machinery},
  title = {Progress Networks as a Tool for Analysing Student Programming Difficulties},
  venue = {virtual},
  year = {2021}
  }
  

2020

• Jessica McBroom, Benjamin Paaßen (2020).
  Assessing the Quality of Mathematics Questions Using Student Confidence Scores.
  In: Jack Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton-Jones, Simon Woodhead, Cheng Zhang‍ (eds.) Winning contributions for task 3 of the NeurIPS 2020 Education Challenge.
  [Link].
  BibTeX

  @inproceedings{McBroom2020NeurIPS,
  author = {Jessica McBroom and Benjamin Paaßen},
  booktitle = {Winning contributions for task 3 of the NeurIPS 2020 Education Challenge},
  editor = {Jack Wang and Angus Lamb and Evgeny Saveliev and Pashmina Cameron and Yordan Zaykov and José Miguel Hernández-Lobato and Richard Turner and Richard G. Baraniuk and Craig Barton and Simon Peyton-Jones and Simon Woodhead and Cheng Zhang‍},
  title = {Assessing the Quality of Mathematics Questions Using Student Confidence Scores},
  url = {https://dqanonymousdata.blob.core.windows.net/neurips-public/papers/mcbroom-paassen/neurips_edu_2020.pdf},
  year = {2020}
  }
  

• Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen (2020).
  The Gendered Nature and Malleability of Gamer Stereotypes.
  Cyberpsychology, Behavior, and Social Networking 23 (8), pp. 557–561.
  [doi:10.1089/cyber.2019.0577], [Link].
  BibTeX

  @article{Morgenroth2020Cyber,
  author = {Thekla Morgenroth and Michelle Stratemeyer and Benjamin Paaßen},
  doi = {10.1089/cyber.2019.0577},
  journal = {Cyberpsychology, Behavior, and Social Networking},
  number = {8},
  pages = {557–561},
  title = {The Gendered Nature and Malleability of Gamer Stereotypes},
  url = {https://www.researchgate.net/publication/341878652_The_Gendered_Nature_and_Malleability_of_Gamer_Stereotypes},
  volume = {23},
  year = {2020}
  }
  

• Benjamin Paaßen, Irena Koprinska, Kalina Yacef (2020).
  Tree Echo State Autoencoders with Grammars.
  In: Asim Roy (eds.) Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), pp. 1–8, Glasgow, UK.
  [doi:10.1109/IJCNN48605.2020.9207165], [Link].
  BibTeX

  @inproceedings{Paassen2020IJCNN,
  author = {Benjamin Paaßen and Irena Koprinska and Kalina Yacef},
  booktitle = {Proceedings of the 2020 International Joint Conference on Neural Networks ({IJCNN} 2020)},
  doi = {10.1109/IJCNN48605.2020.9207165},
  editor = {Asim Roy},
  pages = {1–8},
  title = {Tree Echo State Autoencoders with Grammars},
  url = {https://arxiv.org/abs/2004.08925},
  venue = {Glasgow, UK},
  year = {2020}
  }
  

• Benjamin Paaßen, Alexander Schulz (2020).
  Reservoir Memory Machines.
  In: Michel Verleysen (eds.) Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020), pp. 567–572, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2020ESANN,
  author = {Benjamin Paaßen and Alexander Schulz},
  booktitle = {{Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020)}},
  date = {2020-10},
  editor = {Michel Verleysen},
  pages = {567–572},
  title = {Reservoir Memory Machines},
  url = {https://www.esann.org/sites/default/files/proceedings/2020/ES2020-82.pdf},
  venue = {Bruges, Belgium},
  year = {2020}
  }
  

2019

• Benjamin Paaßen (2019).
  Metric Learning for Structured Data.
  Dissertation.
  [doi:10.4119/unibi/2935545].
  BibTeX

  @phdthesis{Paassen2019thesis,
  author = {Benjamin Paaßen},
  date = {2019-05},
  doi = {10.4119/unibi/2935545},
  institution = {Bielefeld University},
  title = {Metric Learning for Structured Data},
  type = {Dissertation},
  year = {2019}
  }
  

• Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Johannes Schoisswohl, Eugenius Kaniusas, Georg Dorffner, Barbara Hammer, Oskar Aszmann (2019).
  Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
  IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5), pp. 956–962.
  [doi:10.1109/TNSRE.2019.2907200], [Link].
  BibTeX

  @article{Prahm2019,
  author = {Cosima Prahm and Alexander Schulz and Benjamin Paaßen and Johannes Schoisswohl and Eugenius Kaniusas and Georg Dorffner and Barbara Hammer and Oskar Aszmann},
  date = {2019-05},
  doi = {10.1109/TNSRE.2019.2907200},
  journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  number = {5},
  pages = {956–962},
  title = {Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning},
  url = {https://pub.uni-bielefeld.de/record/2934458},
  volume = {27},
  year = {2019}
  }
  

• Benjamin Paaßen (2019).
  Adversarial Edit Attacks for Tree Data.
  In: Hujun Yin, David Camacho, Peter Tino, Antonio Tall\‘on-Ballesteros, Ronaldo Menezes, Richard Allmendinger (eds.) Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019), pp. 359–366, Manchester, UK.
  [doi:10.1007/978-3-030-33607-3_39], [Link].
  BibTeX

  @inproceedings{Paassen2019IDEAL,
  author = {Benjamin Paaßen},
  booktitle = {{Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019)}},
  date = {2019-11},
  doi = {10.1007/978-3-030-33607-3_39},
  editor = {Hujun Yin and David Camacho and Peter Tino and Antonio Tall{\'o}n-Ballesteros and Ronaldo Menezes and Richard Allmendinger},
  pages = {359–366},
  title = {Adversarial Edit Attacks for Tree Data},
  url = {https://arxiv.org/abs/1908.09364},
  venue = {Manchester, UK},
  year = {2019}
  }
  

• Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes (2019).
  A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms.
  International Journal of Artificial Intelligence in Education 29 (3), pp. 368–395.
  [doi:10.1007/s40593-019-00177-z], [Link].
  BibTeX

  @article{Price2019,
  author = {Thomas W. Price and Yihuan Dong and Rui Zhi and Benjamin Paaßen and Nicholas Lytle and Veronica Cateté and Tiffany Barnes},
  doi = {10.1007/s40593-019-00177-z},
  journal = {International Journal of Artificial Intelligence in Education},
  number = {3},
  pages = {368–395},
  title = {A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms},
  url = {https://people.engr.ncsu.edu/twprice/website/files/IJAIED%202019.pdf},
  volume = {29},
  year = {2019}
  }
  

• Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti (2019).
  Embeddings and Representation Learning for Structured Data.
  In: Michel Verleysen (eds.) Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), pp. 85–94, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2019ESANN2,
  author = {Benjamin Paaßen and Claudio Gallicchio and Alessio Micheli and Alessandro Sperduti},
  booktitle = {{Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019)}},
  date = {2019-04},
  editor = {Michel Verleysen},
  pages = {85–94},
  title = {Embeddings and Representation Learning for Structured Data},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2019-4.pdf},
  venue = {Bruges, Belgium},
  year = {2019}
  }
  

• Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang (2019).
  Dynamic fairness – Breaking vicious cycles in automatic decision making.
  In: Michel Verleysen (eds.) Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), pp. 477–482, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2019ESANN,
  author = {Benjamin Paaßen and Astrid Bunge and Carolin Hainke and Leon Sindelar and Matthias Vogelsang},
  booktitle = {Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019)},
  date = {2019-04},
  editor = {Michel Verleysen},
  pages = {477–482},
  title = {Dynamic fairness – Breaking vicious cycles in automatic decision making},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2019-134.pdf},
  venue = {Bruges, Belgium},
  year = {2019}
  }
  

2018

• Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer (2018).
  Tree Edit Distance Learning via Adaptive Symbol Embeddings.
  In: Jennifer Dy, Andreas Krause (eds.) Proceedings of the 35th International Conference on Machine Learning (ICML 2018), pp. 3973–3982, Stockholm, Sweden.
  [Link].
  BibTeX

  @inproceedings{Paassen2018ICML,
  author = {Benjamin Paaßen and Claudio Gallicchio and Alessio Micheli and Barbara Hammer},
  booktitle = {Proceedings of the 35th {International Conference on Machine Learning} ({ICML 2018})},
  date = {2018-07},
  editor = {Jennifer Dy and Andreas Krause},
  pages = {3973–3982},
  series = {Proceedings of Machine Learning Research},
  title = {Tree Edit Distance Learning via Adaptive Symbol Embeddings},
  url = {http://proceedings.mlr.press/v80/paassen18a.html},
  venue = {Stockholm, Sweden},
  volume = {80},
  year = {2018}
  }
  

• Benjamin Paaßen (2018).
  Revisiting the tree edit distance and its backtracing: A tutorial.
  ArXiv e-prints.
  [Link].
  BibTeX

  @article{Paassen2018arxiv,
  author = {Benjamin Paaßen},
  date = {2018-10},
  journal = {ArXiv e-prints},
  publisher = {Cornell University Library},
  title = {Revisiting the tree edit distance and its backtracing: A tutorial},
  url = {https://arxiv.org/abs/1805.06869},
  year = {2018}
  }
  

• Benjamin Paaßen, Barbara Hammer, Thomas W. Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart (2018).
  The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces.
  Journal of Educational Datamining 10 (1), pp. 1-35.
  [Link].
  BibTeX

  @article{Paassen2018JEDM,
  author = {Benjamin Paaßen and Barbara Hammer and Thomas W. Price and Tiffany Barnes and Sebastian Gross and Niels Pinkwart},
  date = {2018-06},
  journal = {Journal of Educational Datamining},
  number = {1},
  pages = {1-35},
  publisher = {Educational Datamining Society},
  title = {The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces},
  url = {https://jedm.educationaldatamining.org/index.php/JEDM/article/view/158},
  volume = {10},
  year = {2018}
  }
  

• Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer (2018).
  Expectation maximization transfer learning and its application for bionic hand prostheses.
  Neurocomputing 298, pp. 122–133.
  [doi:10.1016/j.neucom.2017.11.072], [Link].
  BibTeX

  @article{Paassen2018Neurocomputing,
  author = {Benjamin Paaßen and Alexander Schulz and Janne Hahne and Barbara Hammer},
  date = {2018-07},
  doi = {10.1016/j.neucom.2017.11.072},
  journal = {Neurocomputing},
  pages = {122–133},
  publisher = {Elsevier},
  title = {Expectation maximization transfer learning and its application for  bionic hand prostheses},
  url = {https://arxiv.org/pdf/1711.09256},
  volume = {298},
  year = {2018}
  }
  

• Benjamin Paaßen, Christina Göpfert, Barbara Hammer (2018).
  Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
  Neural Processing Letters 48 (2), pp. 669–689.
  [doi:10.1007/s11063-017-9684-5], [Link].
  BibTeX

  @article{Paassen2017NPL,
  author = {Benjamin Paaßen and Christina Göpfert and Barbara Hammer},
  date = {2018-10},
  doi = {10.1007/s11063-017-9684-5},
  journal = {Neural Processing Letters},
  number = {2},
  pages = {669–689},
  publisher = {Springer},
  title = {Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces},
  url = {https://arxiv.org/abs/1704.06498},
  volume = {48},
  year = {2018}
  }
  

2017

• Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Oskar Aszmann, Barbara Hammer, Georg Dorffner (2017).
  Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
  In: Annette ten Telje, Christian Popow, John H. Holmes, Lucia Sacchi (eds.) Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017), pp. 338–342, Vienna, Austria.
  [doi:10.1007/978-3-319-59758-4_40], [Link].
  BibTeX

  @inproceedings{Prahm2017,
  author = {Cosima Prahm and Alexander Schulz and Benjamin Paaßen and Oskar Aszmann and Barbara Hammer and Georg Dorffner},
  booktitle = {Proceedings of the 16th {Conference on Artificial Intelligence in Medicine} ({AIME} 2017)},
  date = {2017-05},
  doi = {10.1007/978-3-319-59758-4_40},
  editor = {Annette ten Telje and Christian Popow and John H. Holmes and Lucia Sacchi},
  pages = {338–342},
  publisher = {Springer},
  title = {Echo State Networks as Novel Approach for Low-Cost Myoelectric Control},
  url = {https://pub.uni-bielefeld.de/download/2909037/2912500/prahm_schulz_paassen_aszmann_hammer_dorffner_echo_state_networks.pdf},
  venue = {Vienna, Austria},
  volume = {10259},
  year = {2017}
  }
  

• Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer (2017).
  An EM transfer learning algorithm with applications in bionic hand prostheses.
  In: Michel Verleysen (eds.) Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), pp. 129–134, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2017ESANN,
  author = {Benjamin Paaßen and Alexander Schulz and Janne  Hahne and Barbara Hammer},
  booktitle = {Proceedings of the 25th {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning} ({ESANN} 2017)},
  date = {2017-04},
  editor = {Michel Verleysen},
  pages = {129–134},
  publisher = {i6doc.com},
  title = {An EM transfer learning algorithm with applications in bionic hand prostheses},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2017-57.pdf},
  venue = {Bruges, Belgium},
  year = {2017}
  }
  

• Benjamin Paaßen, Thekla Morgenroth, Michelle Stratemeyer (2017).
  What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture.
  Sex Roles 76 (7), pp. 421–435.
  [doi:10.1007/s11199-016-0678-y], [Link].
  BibTeX

  @article{Paassen2017Gaming,
  author = {Benjamin Paaßen and Thekla Morgenroth and Michelle Stratemeyer},
  date = {2017-04},
  doi = {10.1007/s11199-016-0678-y},
  journal = {Sex Roles},
  number = {7},
  pages = {421–435},
  title = {What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture},
  url = {https://pub.uni-bielefeld.de/download/2905302/2905626},
  volume = {76},
  year = {2017}
  }
  

2016

• Benjamin Paaßen, Bassam Mokbel, Barbara Hammer (2016).
  Adaptive structure metrics for automated feedback provision in intelligent tutoring systems.
  Neurocomputing 192, pp. 3–13.
  [doi:10.1016/j.neucom.2015.12.108], [Link].
  BibTeX

  @article{Paassen2016Neurocomputing,
  author = {Benjamin Paaßen and Bassam Mokbel and Barbara Hammer},
  date = {2016-06-05},
  doi = {10.1016/j.neucom.2015.12.108},
  journal = {Neurocomputing},
  pages = {3–13},
  title = {Adaptive structure metrics for automated feedback provision in intelligent tutoring systems},
  url = {https://pub.uni-bielefeld.de/record/2783224},
  volume = {192},
  year = {2016}
  }
  

• Cosima Prahm, Benjamin Paaßen, Alexander Schulz, Barbara Hammer, Oskar Aszmann (2016).
  Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift.
  In: Jaime Ibáñez, José Gonzáles-Vargas, José María Azorín, Metin Akay, José Luis Pons (eds.) Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR 2016), pp. 153–157, Segovia, Spain.
  [doi:10.1007/978-3-319-46669-9_28], [Link].
  BibTeX

  @inproceedings{Prahm2016,
  author = {Cosima Prahm and Benjamin Paaßen and Alexander Schulz and Barbara Hammer and Oskar Aszmann},
  booktitle = {Proceedings of the 3rd {International Conference on NeuroRehabilitation} ({ICNR} 2016)},
  date = {2016-10},
  doi = {10.1007/978-3-319-46669-9_28},
  editor = {Jaime Ibáñez and José Gonzáles-Vargas and José María Azorín and Metin Akay and José Luis Pons},
  pages = {153–157},
  publisher = {Springer},
  title = {Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift},
  url = {https://pub.uni-bielefeld.de/download/2904178/2906343/prahm_paassen_schulz_hammer_aszmann_transfer_learning_preprint.pdf},
  venue = {Segovia, Spain},
  year = {2016}
  }
  

• Benjamin Paaßen, Alexander Schulz, Barbara Hammer (2016).
  Linear Supervised Transfer Learning for Generalized Matrix LVQ.
  In: Barbara Hammer, Thomas Martinetz, Thomas Villmann (eds.) Proceedings of the Workshop New Challenges in Neural Computation (NC2 2016), pp. 11–18, Hannover, Germany.
  [Link].
  BibTeX

  @inproceedings{Paassen2016NC2,
  author = {Benjamin Paaßen and Alexander Schulz and Barbara Hammer},
  booktitle = {Proceedings of the {Workshop New Challenges in Neural Computation} ({NC2} 2016)},
  date = {2016-09},
  editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann},
  number = {4},
  pages = {11–18},
  title = {Linear Supervised Transfer Learning for Generalized Matrix LVQ},
  url = {https://www.techfak.uni-bielefeld.de/~fschleif/mlr/mlr_04_2016.pdf},
  venue = {Hannover, Germany},
  year = {2016}
  }
  

• Kummert, Johannes, Benjamin Paaßen, Jensen, Joris, Christina Göpfert, Barbara Hammer (2016).
  Local Reject Option for Deterministic Multi-class SVM.
  In: Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (eds.) Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), pp. 251–258, Barcelona, Spain.
  [doi:10.1007/978-3-319-44781-0_30].
  BibTeX

  @inproceedings{Kummert2016ICANN,
  author = {Kummert, Johannes and Benjamin Paaßen and Jensen, Joris and Christina Göpfert and Barbara Hammer},
  booktitle = {Proceedings of the 25th {International Conference on Artificial Neural Networks} ({ICANN} 2016)},
  date = {2016-08},
  doi = {10.1007/978-3-319-44781-0_30},
  editor = {Alessandro E.P. Villa and Paolo Masulli and Antonio Javier Pons Rivero},
  pages = {251–258},
  publisher = {Springer Nature},
  title = {Local Reject Option for Deterministic Multi-class SVM},
  venue = {Barcelona, Spain},
  volume = {9887},
  year = {2016}
  }
  

• Christina Göpfert, Benjamin Paaßen, Barbara Hammer (2016).
  Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.
  In: Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (eds.) Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), pp. 510–517, Barcelona, Spain.
  [doi:10.1007/978-3-319-44778-0_60], [Link].
  BibTeX

  @inproceedings{Goepfert2016ICANN,
  author = {Christina Göpfert and Benjamin Paaßen and Barbara Hammer},
  booktitle = {Proceedings of the 25th {International Conference on Artificial Neural Networks} ({ICANN} 2016)},
  date = {2016-08},
  doi = {10.1007/978-3-319-44778-0_60},
  editor = {Alessandro E.P. Villa and Paolo Masulli and Antonio Javier Pons Rivero},
  pages = {510–517},
  publisher = {Springer Nature},
  title = {Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning},
  url = {https://pub.uni-bielefeld.de/download/2905729/2905733/paassen_goepfert_hammer_ICANN_2016_preprint.pdf},
  venue = {Barcelona, Spain},
  volume = {9886},
  year = {2016}
  }
  

• Benjamin Paaßen, Christina Göpfert, Barbara Hammer (2016).
  Gaussian process prediction for time series of structured data.
  In: Michel Verleysen (eds.) Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), pp. 41–46, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2016ESANN,
  author = {Benjamin Paaßen and Christina Göpfert and Barbara Hammer},
  booktitle = {Proceedings of the 24th {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning} ({ESANN 2016})},
  date = {2016-04},
  editor = {Michel Verleysen},
  pages = {41–46},
  publisher = {i6doc.com},
  title = {Gaussian process prediction for time series of structured data},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2016-109.pdf},
  venue = {Bruges, Belgium},
  year = {2016}
  }
  

• Benjamin Paaßen, Joris Jensen, Barbara Hammer (2016).
  Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
  In: Tiffany Barnes, Min Chi, Mingyu Feng (eds.) Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016), pp. 183–190, Raleigh, North Carolina, USA.
  [Link].
  BibTeX

  @inproceedings{Paassen2016EDM,
  author = {Benjamin Paaßen and Joris Jensen and Barbara Hammer},
  booktitle = {Proceedings of the 9th {International Conference on Educational Data Mining} ({EDM} 2016)},
  date = {2016-06},
  editor = {Tiffany Barnes and Min Chi and Mingyu Feng},
  language = {English},
  pages = {183–190},
  publisher = {International Educational Datamining Society},
  title = {Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming},
  url = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_17.pdf},
  venue = {Raleigh, North Carolina, USA},
  year = {2016}
  }
  

2015

• Benjamin Paaßen, Bassam Mokbel, Barbara Hammer (2015).
  A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
  In: Olga Christina Santos, Jesus Gonzalez Boticario, Cristobal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, Jose Maria Luna, Christian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastian Ventura, Michel Desmarais (eds.) Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), pp. 632–632, Madrid, Spain.
  [Link].
  BibTeX

  @inproceedings{Paassen2015EDM,
  author = {Benjamin Paaßen and Bassam Mokbel and Barbara Hammer},
  booktitle = {Proceedings of the 8th {International Conference on Educational Data Mining} ({EDM 2015})},
  date = {2015-06},
  editor = {Olga Christina Santos and Jesus Gonzalez Boticario and Cristobal Romero and Mykola Pechenizkiy and Agathe Merceron and Piotr Mitros and Jose Maria Luna and Christian Mihaescu and Pablo Moreno and Arnon Hershkovitz and Sebastian Ventura and Michel Desmarais},
  language = {English},
  pages = {632–632},
  publisher = {International Educational Datamining Society},
  title = {A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems},
  url = {http://www.educationaldatamining.org/EDM2015/uploads/papers/paper_257.pdf},
  venue = {Madrid, Spain},
  year = {2015}
  }
  

• Oliver Walter, Reinhold Häb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer (2015).
  Autonomous Learning of Representations.
  KI - Kuenstliche Intelligenz 29 (4), pp. 339–351.
  [doi:10.1007/s13218-015-0372-1].
  BibTeX

  @article{Walter2015KI,
  author = {Oliver Walter and Reinhold Häb-Umbach and Bassam Mokbel and Benjamin Paaßen and Barbara Hammer},
  date = {2015-11},
  doi = {10.1007/s13218-015-0372-1},
  journal = {KI - Kuenstliche Intelligenz},
  number = {4},
  pages = {339–351},
  publisher = {Springer Berlin Heidelberg},
  title = {Autonomous Learning of Representations},
  volume = {29},
  year = {2015}
  }
  

• Benjamin Paaßen (2015).
  Interview with Werner von Seelen.
  KI - Künstliche Intelligenz 29 (4), pp. 445–448.
  [doi:10.1007/s13218-015-0368-x].
  BibTeX

  @article{Paassen2015KI,
  author = {Benjamin Paaßen},
  date = {2015-11},
  doi = {10.1007/s13218-015-0368-x},
  journal = {KI - Künstliche Intelligenz},
  number = {4},
  pages = {445–448},
  publisher = {Springer Berlin Heidelberg},
  title = {Interview with Werner von Seelen},
  volume = {29},
  year = {2015}
  }
  

• Benjamin Paaßen, Bassam Mokbel, Barbara Hammer (2015).
  Adaptive structure metrics for automated feedback provision in Java programming.
  In: Michel Verleysen (eds.) Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), pp. 307–312, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Paassen2015ESANN,
  author = {Benjamin Paaßen and Bassam Mokbel and Barbara Hammer},
  booktitle = {Proceedings of the 23rd {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning} ({ESANN} 2015)},
  date = {2015-04},
  editor = {Michel Verleysen},
  language = {English},
  pages = {307–312},
  publisher = {i6doc.com},
  title = {Adaptive structure metrics for automated feedback provision in Java programming},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2015-43.pdf},
  venue = {Bruges, Belgium},
  year = {2015}
  }
  

• Andreas Stöckel, Benjamin Paaßen, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Hans Werner Müller, Philipp Cimiano, Matthias Hartung, Roman Klinger (2015).
  SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments - A Webservice and Open Source Toolkit.
  bioRxiv.
  [doi:10.1101/013458].
  BibTeX

  @article{Stoeckel2015bioRxiv,
  author = {Andreas Stöckel and Benjamin Paaßen and Raphael Dickfelder and Jan Philip Göpfert and Nicole Brazda and {Hans Werner} Müller and Philipp Cimiano and Matthias Hartung and Roman Klinger},
  date = {2015-01},
  doi = {10.1101/013458},
  journal = {bioRxiv},
  publisher = {Cold Spring Harbor Labs Journals},
  title = {SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments - A Webservice and Open Source Toolkit},
  year = {2015}
  }
  

• Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer (2015).
  Metric learning for sequences in relational LVQ.
  Neurocomputing 169, pp. 306–322.
  [doi:10.1016/j.neucom.2014.11.082], [Link].
  BibTeX

  @article{Mokbel2015Neurocomputing,
  author = {Bassam Mokbel and Benjamin Paaßen and Frank-Michael Schleif and Barbara Hammer},
  date = {2015-12},
  doi = {10.1016/j.neucom.2014.11.082},
  journal = {Neurocomputing},
  language = {English},
  pages = {306–322},
  publisher = {Elsevier Science Publishers B. V.},
  title = {Metric learning for sequences in relational LVQ},
  url = {https://pub.uni-bielefeld.de/download/2710031/2718238/MokbelEtAl2015-Neurocomputing-MetricLearningSequencesLVQ.pdf},
  volume = {169},
  year = {2015}
  }
  

• Benjamin Paaßen (2015).
  Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming.
  Master’s thesis.
  [Link].
  BibTeX

  @mastersthesis{mathesis,
  author = {Benjamin Paaßen},
  date = {2015-04},
  institution = {Bielefeld University},
  title = {Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming},
  type = {Master’s thesis},
  url = {https://pub.uni-bielefeld.de/record/2736686},
  year = {2015}
  }
  

2014

• Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart (2014).
  Example-based Feedback Provision Using Structured Solution Spaces.
  International Journal of Learning Technology 9 (3), pp. 248–280.
  [doi:10.1504/IJLT.2014.065752], [Link].
  BibTeX

  @article{Gross2014IJLT,
  author = {Sebastian Gross and Bassam Mokbel and Benjamin Paaßen and Barbara Hammer and Niels Pinkwart},
  date = {2014-11},
  doi = {10.1504/IJLT.2014.065752},
  journal = {International Journal of Learning Technology},
  number = {3},
  pages = {248–280},
  publisher = {Inderscience Publishers},
  title = {Example-based Feedback Provision Using Structured Solution Spaces},
  url = {https://publications.informatik.hu-berlin.de/archive/cses/publications/Example-based_feedback_provision_using_structured_solution_spaces.pdf},
  volume = {9},
  year = {2014}
  }
  

• Bassam Mokbel, Benjamin Paaßen, Barbara Hammer (2014).
  Efficient Adaptation of Structure Metrics in Prototype-Based Classification.
  In: Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E.P. Villa (eds.) Proceedings of the 24th International Conference on Artificial Neural Networks and Machine Learning (ICANN 2014), pp. 571–578, Hamburg, Germany.
  [doi:10.1007/978-3-319-11179-7_72], [Link].
  BibTeX

  @inproceedings{Mokbel2014ICANN,
  author = {Bassam Mokbel and Benjamin Paaßen and Barbara Hammer},
  booktitle = {Proceedings of the 24th {International Conference on Artificial Neural Networks and Machine Learning} ({ICANN} 2014)},
  date = {2014-09},
  doi = {10.1007/978-3-319-11179-7_72},
  editor = {Stefan Wermter and Cornelius Weber and  Włodzisław Duch and Timo Honkela and Petia Koprinkova-Hristova and Sven Magg and Günther Palm and Alessandro E.P. Villa},
  language = {English},
  pages = {571–578},
  publisher = {Springer International Publishing},
  series = {Lecture Notes in Computer Science},
  title = {Efficient Adaptation of Structure Metrics in Prototype-Based Classification},
  url = {https://pub.uni-bielefeld.de/record/2710067},
  venue = {Hamburg, Germany},
  volume = {8681},
  year = {2014}
  }
  

• Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer (2014).
  Learning interpretable kernelized prototype-based models.
  Neurocomputing 141, pp. 84–96.
  [doi:10.1016/j.neucom.2014.03.003].
  BibTeX

  @article{Hofmann2014Neurocomputing,
  author = {Daniela Hofmann and Frank-Michael Schleif and Benjamin Paaßen and Barbara Hammer},
  date = {2014-10},
  doi = {10.1016/j.neucom.2014.03.003},
  journal = {Neurocomputing},
  language = {English},
  pages = {84–96},
  title = {Learning interpretable kernelized prototype-based models},
  volume = {141},
  year = {2014}
  }
  

• Benjamin Paaßen, Stöckel, Andreas, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner Müller, Roman Klinger, Matthias Hartung, Philipp Cimiano (2014).
  Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
  In: Diana Maynard, Marieke van Erp, Brian Davis (eds.) Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING 2014), pp. 25–32.
  [Link].
  BibTeX

  @inproceedings{Paassen2014SWAIE,
  author = {Benjamin Paaßen and Stöckel, Andreas and Raphael Dickfelder and Jan Philip Göpfert and Nicole Brazda and Tarek Kirchhoffer and {Hans Werner} Müller and Roman Klinger and Matthias Hartung and Philipp Cimiano},
  booktitle = {Third {Workshop on Semantic Web and Information Extraction} ({SWAIE}). The 25th {International Conference on Computational Linguistics} ({COLING 2014})},
  date = {2014-05},
  editor = {Diana Maynard and Marieke van Erp and Brian Davis},
  pages = {25–32},
  title = {Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments},
  url = {http://anthology.aclweb.org/W/W14/W14-6204.pdf},
  year = {2014}
  }
  

• Bassam Mokbel, Benjamin Paaßen, Barbara Hammer (2014).
  Adaptive distance measures for sequential data.
  In: Michel Verleysen (eds.) Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), pp. 265–270, Bruges, Belgium.
  [Link].
  BibTeX

  @inproceedings{Mokbel2014ESANN,
  author = {Bassam Mokbel and Benjamin Paaßen and Barbara Hammer},
  booktitle = {Proceedings of the 22nd {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning} ({ESANN} 2014)},
  date = {2014-04},
  editor = {Michel Verleysen},
  language = {English},
  pages = {265–270},
  publisher = {i6doc.com},
  title = {Adaptive distance measures for sequential data},
  url = {https://www.esann.org/sites/default/files/proceedings/legacy/es2014-82.pdf},
  venue = {Bruges, Belgium},
  year = {2014}
  }
  

2013

• Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer (2013).
  Domain-independent proximity measures in intelligent tutoring systems.
  In: S. K. D'Mello, R. A. Calvo, A. Olney (eds.) Proceedings of the 6th International Conference on Educational Data Mining (EDM 2013), pp. 334–335, Memphis, Tennessee, USA.
  [Link].
  BibTeX

  @inproceedings{Mokbel2013EDM,
  author = {Bassam Mokbel and Sebastian Gross and Benjamin Paaßen and Niels Pinkwart and Barbara Hammer},
  booktitle = {Proceedings of the 6th {International Conference on Educational Data Mining} ({EDM} 2013)},
  date = {2013-06},
  editor = {S. K. D'Mello and R. A. Calvo and A. Olney},
  pages = {334–335},
  title = {Domain-independent proximity measures in intelligent tutoring systems},
  url = {http://www.educationaldatamining.org/EDM2013/papers/rn_paper_68.pdf},
  venue = {Memphis, Tennessee, USA},
  year = {2013}
  }