2021

• Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef.
  ast2vec: Utilizing Recursive Neural Encodings of Python Programs.
  arXiv, 2103.11614, 2021.
  [Link].
  BibTeX

  @online{Paassen2021JEDM,
  author = {Benjamin Paaßen and Jessica McBroom and Bryn Jeffries and Irena Koprinska and Kalina Yacef},
  journal = {arXiv},
  note = {2103.11614},
  title = {ast2vec: Utilizing Recursive Neural Encodings of Python Programs},
  url = {https://arxiv.org/abs/2103.11614},
  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}
  }
  

• McBroom, Jessica, Paassen, Benjamin, Jeffries, Bryn, Koprinska, Irena, Yacef, Kalina.
  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 = {McBroom, Jessica and Paassen, Benjamin and Jeffries, Bryn and Koprinska, Irena and Yacef, Kalina},
  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

• McBroom, Jessica, Paaßen, Benjamin.
  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 = {McBroom, Jessica and Paaßen, Benjamin},
  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}
  }
  

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

  @online{Paassen2021TNNLS,
  author = {Paaßen, Benjamin and Koprinska, Irena and Yacef, Kalina},
  journal = {arXiv},
  note = {2012.02097},
  title = {Recursive Tree Grammar Autoencoders},
  url = {https://arxiv.org/abs/2012.02097},
  year = {2020}
  }
  

• Paaßen, Benjamin, Schulz, Alexander, Stewart, Terrence C., Hammer, Barbara.
  Reservoir Memory Machines as Neural Computers.
  IEEE Transactions on Neural Networks and Learning Systems, under review, Special Issue: New Frontiers in Extremely Efficient Reservoir Computing, 2020.
  [Link].
  BibTeX

  @article{Paassen2020TNNLS,
  author = {Paaßen, Benjamin and Schulz, Alexander and Stewart, Terrence C. and Hammer, Barbara},
  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 = {under review},
  title = {Reservoir Memory Machines as Neural Computers},
  url = {https://arxiv.org/abs/2009.06342},
  year = {2020}
  }
  

• Morgenroth, Thekla, Stratemeyer, Michelle, Paaßen, Benjamin.
  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 = {Morgenroth, Thekla and Stratemeyer, Michelle and Paaßen, Benjamin},
  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}
  }
  

• Paaßen, Benjamin, Koprinska, Irena, Yacef, Kalina.
  Tree Echo State Autoencoders with Grammars.
  Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020), in print, 2020.
  [doi:10.1109/IJCNN48605.2020.9207165], [Link].
  BibTeX

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

• Paaßen, Benjamin, Schulz, Alexander.
  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 = {Paaßen, Benjamin and Schulz, Alexander},
  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

• Paaßen, Benjamin.
  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 = {Paaßen, Benjamin},
  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}
  }
  

• Price, Thomas W., Dong, Yihuan, Zhi, Rui, Paaßen, Benjamin, Lytle, Nicholas, Cateté, Veronica, Barnes, Tiffany.
  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 = {Price, Thomas W. and Dong, Yihuan and Zhi, Rui and Paaßen, Benjamin and Lytle, Nicholas and Cateté, Veronica and Barnes, Tiffany},
  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}
  }
  

• Prahm, Cosima, Schulz, Alexander, Paaßen, Benjamin, Schoisswohl, Johannes, Kaniusas, Eugenius, Dorffner, Georg, Hammer, Barbara, Aszmann, Oskar.
  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 = {Prahm, Cosima and Schulz, Alexander and Paaßen, Benjamin and Schoisswohl, Johannes and Kaniusas, Eugenius and Dorffner, Georg and Hammer, Barbara and Aszmann, Oskar},
  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}
  }
  

• Paaßen, Benjamin, Gallicchio, Claudio, Micheli, Alessio, Sperduti, Alessandro.
  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 = {Paaßen, Benjamin and Gallicchio, Claudio and Micheli, Alessio and Sperduti, Alessandro},
  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 = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-4.pdf},
  venue = {Bruges, Belgium},
  year = {2019}
  }
  

• Paaßen, Benjamin, Bunge, Astrid, Hainke, Carolin, Sindelar, Leon, Vogelsang, Matthias.
  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 = {Paaßen, Benjamin and Bunge, Astrid and Hainke, Carolin and Sindelar, Leon and Vogelsang, Matthias},
  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.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-134.pdf},
  venue = {Bruges, Belgium},
  year = {2019}
  }
  

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

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

2018

• Paaßen, Benjamin, Gallicchio, Claudio, Micheli, Alessio, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Gallicchio, Claudio and Micheli, Alessio and Hammer, Barbara},
  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}
  }
  

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

  @article{Paassen2018arxiv,
  author = {Paaßen, Benjamin},
  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}
  }
  

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

  @article{Paassen2018JEDM,
  author = {Paaßen, Benjamin and Hammer, Barbara and Price, Thomas and Barnes, Tiffany and Gross, Sebastian and Pinkwart, Niels},
  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}
  }
  

• Paaßen, Benjamin, Schulz, Alexander, Hahne, Janne, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Schulz, Alexander and Hahne, Janne and Hammer, Barbara},
  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}
  }
  

• Paaßen, Benjamin, Göpfert, Christina, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Göpfert, Christina and Hammer, Barbara},
  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

• Prahm, Cosima, Schulz, Alexander, Paaßen, Benjamin, Aszmann, Oskar, Hammer, Barbara, Dorffner, Georg.
  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 = {Prahm, Cosima and Schulz, Alexander and Paaßen, Benjamin and Aszmann, Oskar and Hammer, Barbara and Dorffner, Georg},
  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}
  }
  

• Paaßen, Benjamin, Schulz, Alexander, Hahne, Janne, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Schulz, Alexander and Hahne, Janne and Hammer, Barbara},
  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 = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2017-57.pdf},
  venue = {Bruges, Belgium},
  year = {2017}
  }
  

• Paaßen, Benjamin, Morgenroth, Thekla, Stratemeyer, Michelle.
  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 = {Paaßen, Benjamin and Morgenroth, Thekla and Stratemeyer, Michelle},
  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

• Prahm, Cosima, Paaßen, Benjamin, Schulz, Alexander, Hammer, Barbara, Aszmann, Oskar.
  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 = {Prahm, Cosima and Paaßen, Benjamin and Schulz, Alexander and Hammer, Barbara and Aszmann, Oskar},
  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}
  }
  

• Paaßen, Benjamin, Schulz, Alexander, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Schulz, Alexander and Hammer, Barbara},
  booktitle = {Proceedings of the {Workshop New Challenges in Neural Computation} ({NC2} 2016)},
  date = {2016-09},
  editor = {Hammer, Barbara 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, Paaßen, Benjamin, Jensen, Joris, Göpfert, Christina, Hammer, Barbara.
  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 Paaßen, Benjamin and Jensen, Joris and Göpfert, Christina and Hammer, Barbara},
  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}
  }
  

• Göpfert, Christina, Paaßen, Benjamin, Hammer, Barbara.
  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 = {Göpfert, Christina and Paaßen, Benjamin and Hammer, Barbara},
  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}
  }
  

• Paaßen, Benjamin, Göpfert, Christina, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Göpfert, Christina and Hammer, Barbara},
  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 = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-109.pdf},
  venue = {Bruges, Belgium},
  year = {2016}
  }
  

• Paaßen, Benjamin, Jensen, Joris, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Jensen, Joris and Hammer, Barbara},
  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}
  }
  

• 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}
  }
  

2015

• Paaßen, Benjamin, Mokbel, Bassam, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Mokbel, Bassam and Hammer, Barbara},
  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}
  }
  

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

  @article{Gross2015KI,
  author = {Gross, Sebastian and Mokbel, Bassam and Hammer, Barbara and Pinkwart, Niels},
  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}
  }
  

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

  @article{Walter2015KI,
  author = {Walter, Oliver and Häb-Umbach, Reinhold and Mokbel, Bassam and Paaßen, Benjamin and Hammer, Barbara},
  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}
  }
  

• Paaßen, Benjamin.
  Interview with Werner von Seelen.
  KI - Künstliche Intelligenz, 2015.
  [doi:10.1007/s13218-015-0368-x].
  BibTeX

  @article{Paassen2015KI,
  author = {Paaßen, Benjamin},
  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}
  }
  

• Paaßen, Benjamin, Mokbel, Bassam, Hammer, Barbara.
  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 = {Paaßen, Benjamin and Mokbel, Bassam and Hammer, Barbara},
  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 = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2015-43.pdf},
  venue = {Bruges, Belgium},
  year = {2015}
  }
  

• Stöckel, Andreas, Paaßen, Benjamin, Dickfelder, Raphael, Göpfert, Jan Philip, Brazda, Nicole, Müller, Hans Werner, Cimiano, Philipp, Hartung, Matthias, Klinger, Roman.
  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 = {Stöckel, Andreas and Paaßen, Benjamin and Dickfelder, Raphael and Göpfert, Jan Philip and Brazda, Nicole and Müller, Hans Werner and Cimiano, Philipp and Hartung, Matthias and Klinger, Roman},
  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}
  }
  

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

  @article{Mokbel2015Neurocomputing,
  author = {Mokbel, Bassam and Paaßen, Benjamin and Schleif, Frank-Michael and Hammer, Barbara},
  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}
  }
  

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

  @mastersthesis{mathesis,
  author = {Paaßen, Benjamin},
  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

• Gross, Sebastian, Mokbel, Bassam, Paaßen, Benjamin, Hammer, Barbara, Pinkwart, Niels.
  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 = {Gross, Sebastian and Mokbel, Bassam and Paaßen, Benjamin and Hammer, Barbara and Pinkwart, Niels},
  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}
  }
  

• Mokbel, Bassam, Paaßen, Benjamin, Hammer, Barbara.
  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 = {Mokbel, Bassam and Paaßen, Benjamin and Hammer, Barbara},
  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, Schleif, Frank-Michael, Paaßen, Benjamin, Hammer, Barbara.
  Learning interpretable kernelized prototype-based models.
  Neurocomputing, 2014.
  [doi:10.1016/j.neucom.2014.03.003].
  BibTeX

  @article{Hofmann2014Neurocomputing,
  author = {Hofmann, Daniela and Schleif, Frank-Michael and Paaßen, Benjamin and Hammer, Barbara},
  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}
  }
  

• Paaßen, Benjamin, Stöckel, Andreas, Dickfelder, Raphael, Göpfert, Jan Philip, Brazda, Nicole, Kirchhoffer, Tarek, Müller, Hans Werner, Klinger, Roman, Hartung, Matthias, Cimiano, Philipp.
  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 = {Paaßen, Benjamin and Stöckel, Andreas and Dickfelder, Raphael and Göpfert, Jan Philip and Brazda, Nicole and Kirchhoffer, Tarek and Müller, Hans Werner and Klinger, Roman and Hartung, Matthias and Cimiano, Philipp},
  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}
  }
  

• Mokbel, Bassam, Paaßen, Benjamin, Hammer, Barbara.
  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 = {Mokbel, Bassam and Paaßen, Benjamin and Hammer, Barbara},
  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 = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-82.pdf},
  venue = {Bruges, Belgium},
  year = {2014}
  }
  

2013

• Mokbel, Bassam, Gross, Sebastian, Paaßen, Benjamin, Pinkwart, Niels, Hammer, Barbara.
  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 = {Mokbel, Bassam and Gross, Sebastian and Paaßen, Benjamin and Pinkwart, Niels and Hammer, Barbara},
  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}
  }