2021

• Benjamin Paaßen, Miloš Kravčík.
  Teaching psychomotor skills using machine learning for error detection.
  Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems (MILeS 2021), 2021.
  [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 = {Klemke, Roland and Asyraaf Mat Sanusi, Khaleel 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.
  Mapping Python Programs to Vectors using Recursive Neural Encodings.
  Journal of Educational Datamining, accepted, 2021.
  [Link].
  BibTeX

  @article{Paassen2021JEDM,
  author = {Benjamin Paaßen and Jessica McBroom and Bryn Jeffries and Irena Koprinska and Kalina Yacef},
  journal = {Journal of Educational Datamining},
  note = {accepted},
  title = {Mapping Python Programs to Vectors using Recursive Neural Encodings},
  url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_J499.pdf},
  year = {2021}
  }
  

• Benjamin Paaßen, Alexander Schulz, Barbara Hammer.
  Reservoir Stack Machines.
  Neurocomputing, in print, 2021.
  [doi:10.1016/j.neucom.2021.05.106], [Link].
  BibTeX

  @article{Paassen2021Neurocomputing,
  author = {Benjamin Paaßen and Alexander Schulz and Barbara Hammer},
  doi = {10.1016/j.neucom.2021.05.106},
  journal = {Neurocomputing},
  note = {in print},
  title = {Reservoir Stack Machines},
  url = {https://arxiv.org/abs/2105.01616},
  year = {2021}
  }
  

• Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer.
  Reservoir Memory Machines as Neural Computers.
  IEEE Transactions on Neural Networks and Learning Systems, in print, Special Issue: New Frontiers in Extremely Efficient Reservoir Computing, 2021.
  [doi:10.1109/TNNLS.2021.3094139], [Link].
  BibTeX

  @article{Paassen2021TNNLS,
  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},
  note = {in print},
  title = {Reservoir Memory Machines as Neural Computers},
  url = {https://arxiv.org/abs/2009.06342},
  year = {2021}
  }
  

• Benjamin Paaßen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer.
  Graph Edit Networks.
  Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021), 2021.
  [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.
  An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.
  Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021), accepted, 2021.
  [Link].
  BibTeX

  @inproceedings{Paassen2021SISAP,
  author = {Benjamin Paaßen},
  booktitle = {Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021)},
  editor = {Niels Kriege and Richard Connor and Nora Reyes},
  language = {English},
  note = {accepted},
  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.
  Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints.
  Proceedings of the 5th Educational Data Mining in Computer Science Workshop (CSEDM 2021), accepted, 2021.
  
  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 = {Akram, Bita and Price, Thomas and Shi, Yang and Brusilovsky, Peter and Hsiao, Sharon I-Han},
  language = {English},
  note = {accepted},
  publisher = {International Educational Datamining Society},
  title = {Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints},
  venue = {virtual},
  year = {2021}
  }
  

• Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Kobi Gal, Niels Pinkwart.
  Modeling Creativity in Visual Programming: From Theory to Practice.
  Proceedings of the 15th International Conference on Educational Data Mining (EDM 2021), 2021.
  [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.
  Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.
  Proceedings of the 15th International Conference on Educational Data Mining (EDM 2021), 2021.
  [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.
  Progress Networks as a Tool for Analysing Student Programming Difficulties.
  Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE ‘21), 2021.
  [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.
  Assessing the Quality of Mathematics Questions Using Student Confidence Scores.
  Winning contributions for task 3 of the NeurIPS 2020 Education Challenge, 2020.
  [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}
  }
  

• Benjamin Paaßen, Irena Koprinska, Kalina Yacef.
  Recursive Tree Grammar Autoencoders.
  arXiv, 2012.02097, 2020.
  [Link].
  BibTeX

  @online{Paassen2020arxiv,
  author = {Benjamin Paaßen and Irena Koprinska and Kalina Yacef},
  journal = {arXiv},
  note = {2012.02097},
  title = {Recursive Tree Grammar Autoencoders},
  url = {https://arxiv.org/abs/2012.02097},
  year = {2020}
  }
  

• Thekla Morgenroth, Michelle Stratemeyer, Benjamin Paaßen.
  The Gendered Nature and Malleability of Gamer Stereotypes.
  Cyberpsychology, Behavior, and Social Networking, 2020.
  [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.
  Tree Echo State Autoencoders with Grammars.
  Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020.
  [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 = {Roy, Asim},
  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.
  Reservoir Memory Machines.
  Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020), 2020.
  [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 = {Verleysen, Michel},
  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.
  Metric Learning for Structured Data.
  Dissertation, 2019.
  [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.
  Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019.
  [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.
  Adversarial Edit Attacks for Tree Data.
  Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019), 2019.
  [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 = {Yin, Hujun and Camacho, David and Tino, Peter and Tall{\‘o}n-Ballesteros, Antonio and Menezes, Ronaldo and Allmendinger, Richard},
  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.
  A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms.
  International Journal of Artificial Intelligence in Education, 2019.
  [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.
  Embeddings and Representation Learning for Structured Data.
  Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), 2019.
  [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 = {Verleysen, Michel},
  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.
  Dynamic fairness – Breaking vicious cycles in automatic decision making.
  Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), 2019.
  [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 = {Verleysen, Michel},
  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.
  Tree Edit Distance Learning via Adaptive Symbol Embeddings.
  Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018.
  [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 = {Dy, Jennifer and Krause, Andreas},
  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.
  Revisiting the tree edit distance and its backtracing: A tutorial.
  ArXiv e-prints, 2018.
  [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.
  The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces.
  Journal of Educational Datamining, 2018.
  [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.
  Expectation maximization transfer learning and its application for bionic hand prostheses.
  Neurocomputing, 2018.
  [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.
  Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
  Neural Processing Letters, 2018.
  [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.
  Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
  Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017), 2017.
  [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 = {ten Telje, Annette and Popow, Christian and Holmes, John H. and Sacchi, Lucia},
  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.
  An EM transfer learning algorithm with applications in bionic hand prostheses.
  Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), 2017.
  [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 = {Verleysen, Michel},
  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.
  What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture.
  Sex Roles, 2017.
  [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.
  Adaptive structure metrics for automated feedback provision in intelligent tutoring systems.
  Neurocomputing, 2016.
  [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.
  Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift.
  Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR 2016), 2016.
  [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 = {Ibáñez, Jaime and Gonzáles-Vargas, José and Azorín, José María and Akay, Metin and Pons, José Luis},
  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.
  Linear Supervised Transfer Learning for Generalized Matrix LVQ.
  Proceedings of the Workshop New Challenges in Neural Computation (NC2 2016), 2016.
  [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 Martinetz, Thomas and Villmann, Thomas},
  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.
  Local Reject Option for Deterministic Multi-class SVM.
  Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), 2016.
  [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 = {E.P. Villa, Alessandro and Masulli, Paolo and Pons Rivero, Antonio Javier},
  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.
  Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.
  Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), 2016.
  [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 = {E.P. Villa, Alessandro and Masulli, Paolo and Pons Rivero, Antonio Javier},
  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.
  Gaussian process prediction for time series of structured data.
  Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), 2016.
  [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 = {Verleysen, Michel},
  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.
  Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
  Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016), 2016.
  [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 = {Barnes, Tiffany and Chi, Min and Feng, Mingyu},
  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.
  A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
  Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), 2015.
  [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}
  }
  

• Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart.
  Learning Feedback in Intelligent Tutoring Systems.
  KI - Künstliche Intelligenz, 2015.
  [doi:10.1007/s13218-015-0367-y].
  BibTeX

  @article{Gross2015KI,
  author = {Sebastian Gross and Bassam Mokbel and Barbara Hammer and Niels Pinkwart},
  date = {2015-11},
  doi = {10.1007/s13218-015-0367-y},
  journal = {KI - Künstliche Intelligenz},
  number = {4},
  pages = {413-418},
  publisher = {Springer Berlin Heidelberg},
  title = {Learning Feedback in Intelligent Tutoring Systems},
  volume = {29},
  year = {2015}
  }
  

• Oliver Walter, Reinhold Häb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer.
  Autonomous Learning of Representations.
  KI - Kuenstliche Intelligenz, 2015.
  [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.
  Interview with Werner von Seelen.
  KI - Künstliche Intelligenz, 2015.
  [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.
  Adaptive structure metrics for automated feedback provision in Java programming.
  Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015.
  [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.
  SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments - A Webservice and Open Source Toolkit.
  bioRxiv, 2015.
  [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.
  Metric learning for sequences in relational LVQ.
  Neurocomputing, 2015.
  [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.
  Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming.
  Master’s thesis, 2015.
  [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.
  Example-based Feedback Provision Using Structured Solution Spaces.
  International Journal of Learning Technology, 2014.
  [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.
  Efficient Adaptation of Structure Metrics in Prototype-Based Classification.
  Proceedings of the 24th International Conference on Artificial Neural Networks and Machine Learning (ICANN 2014), 2014.
  [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 = {Wermter, Stefan and Weber, Cornelius and Duch, Włodzisław and Honkela, Timo and Koprinkova-Hristova, Petia and Magg, Sven and Palm, Günther and Villa, Alessandro E.P.},
  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}
  }
  

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

  @article{Hofmann2014Neurocomputing,
  author = {Hofmann, Daniela 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.
  Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
  Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING 2014), 2014.
  [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.
  Adaptive distance measures for sequential data.
  Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), 2014.
  [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.
  Domain-independent proximity measures in intelligent tutoring systems.
  Proceedings of the 6th International Conference on Educational Data Mining (EDM 2013), 2013.
  [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 = {D'Mello, S. K. and Calvo, R. A. and Olney, A.},
  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}
  }