69 Publikationen
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2023 | Preprint | Veröffentlicht | PUB-ID: 2980970J. Strotherm, A. Müller, B. Hammer, and B. Paaßen, “Fairness in KI-Systemen”, 2023.PUB | Download (ext.) | arXiv
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2022 | Konferenzbeitrag | PUB-ID: 2979001B. Paaßen, M. Dywel, M. Fleckenstein, and N. Pinkwart, in Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (Eds.: A.I. Cristea, C. Brown, T. Mitrovic, N. Bosch), 2022, p. 17–26.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | PUB-ID: 2978970B. Paaßen, I. Koprinska, and K. Yacef, “Recursive Tree Grammar Autoencoders”, Machine Learning, 2022, 111, 3393–3423.PUB | PDF | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | PUB-ID: 2979004B. Paaßen, J. Dehne, S. Krishnaraja, A. Kovalkov, K. Gal, and N. Pinkwart, “A conceptual graph-based model of creativity in learning”, Frontiers in Education, 2022, 7.PUB | PDF | DOI | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2979003B. Paaßen, T. Baumgartner, M. Geisen, N. Riedl, and M. Kravčík, in Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2022) (Eds.: K. Asyraaf Mat Sanusi, B. Limbu, J. Schneider, D. Di Mitri, R. Klemke), 2022, p. 22–27.PUB | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2979002B. Paaßen, M. Dywel, M. Fleckenstein, and N. Pinkwart, in Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022) Practitioner’s Track (Eds.: J.A. DeFalco, D.D.M. da C. Matos, B. Blanc, I. Reichow), 2022, p. 132–137.PUB | DOI | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2979000B. Paaßen, C. Göpfert, and N. Pinkwart, in Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (Eds.: A.I. Cristea, C. Brown, T. Mitrovic, N. Bosch), 2022, p. 555–559.PUB | DOI | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2978999G. Picones, B. Paaßen, I. Koprinska, and K. Yacef, in Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (Eds.: A.I. Cristea, C. Brown, T. Mitrovic, N. Bosch), 2022, p. 217–227.PUB | DOI | Download (ext.)
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2022 | Zeitschriftenaufsatz | PUB-ID: 2978998B. Paaßen, A. Schulz, T. C. Stewart, and B. Hammer, “Reservoir Memory Machines as Neural Computers”, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33, 2575–2585.PUB | DOI | Download (ext.) | arXiv
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978969B. Paaßen, J. McBroom, B. Jeffries, I. Koprinska, and K. Yacef, “Mapping Python Programs to Vectors using Recursive Neural Encodings”, Journal of Educational Datamining, 2021, 13, 1–35.PUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | PUB-ID: 2978997A. Kovalkov, B. Paaßen, A. Segal, N. Pinkwart, and K. Gal, “Automatic Creativity Measurement in Scratch Programs Across Modalities”, IEEE Transactions on Learning Technologies, 2021, 14, 740–753.PUB | DOI | Download (ext.) | arXiv
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2021 | Konferenzbeitrag | PUB-ID: 2978996D. Bacciu, F. M. Bianchi, B. Paaßen, and C. Alippi, in {Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021)} (Ed.: M. Verleysen), 2021, p. 89–98.PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2978995B. Paaßen, and M. Kravčík, in Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2021) (Eds.: R. Klemke, K. Asyraaf Mat Sanusi), 2021, p. 8–14.PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2978967B. Paaßen, in Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021) (Eds.: N. Reyes, R. Connor, N. Kriege, D. Kazempour, I. Bartolini, E. Schubert, J.-J. Chen), Springer, 2021, p. 364–371.PUB | DOI | Download (ext.) | arXiv
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2021 | Konferenzbeitrag | PUB-ID: 2978966A. Kovalkov, B. Paaßen, A. Segal, K. Gal, and N. Pinkwart, in Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021) (Eds.: F. Bouchet, J.-J. Vie, S. Hsiao, S. Sahebi), International Educational Datamining Society, 2021.PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2978965B. Paaßen, A. Bertsch, K. Langer-Fischer, S. Rüdian, X. Wang, R. Sinha, J. Kuzilek, S. Britsch, and N. Pinkwart, in Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021) (Eds.: F. Bouchet, J.-J. Vie, S. Hsiao, S. Sahebi), International Educational Datamining Society, 2021.PUB | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542B. Paaßen, A. Schulz, and B. Hammer, “Reservoir Stack Machines”, Neurocomputing, 2021, 470, 352-364.PUB | DOI | Download (ext.) | WoS | arXiv
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2020 | Konferenzbeitrag | PUB-ID: 2978963B. Paaßen, I. Koprinska, and K. Yacef, in Proceedings of the 2020 International Joint Conference on Neural Networks ({IJCNN} 2020) (Ed.: A. Roy), 2020, p. 1–8.PUB | DOI | Download (ext.) | arXiv
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931B. Paaßen, and A. Schulz, in Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020) (Ed.: M. Verleysen), I6Doc, Bruges, 2020, p. 567-572.PUB | Download (ext.) | arXiv
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944191T. Morgenroth, M. Stratemeyer, and B. Paaßen, “The Gendered Nature and Malleability of Gamer Stereotypes”, Cyberpsychology, Behavior, and Social Networking, 2020, 23, 557-561.PUB | DOI | WoS | PubMed | Europe PMC
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2019 | Monographie | PUB-ID: 2935200B. Paaßen, A. Artelt, and B. Hammer, Lecture Notes on Applied Optimization, Faculty of Technology, Bielefeld University, 2019.PUB | Dateien verfügbar
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2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458C. Prahm, A. Schulz, B. Paaßen, J. Schoisswohl, E. Kaniusas, G. Dorffner, B. Hammer, and O. Aszmann, “Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27, 956-962.PUB | PDF | DOI | WoS | PubMed | Europe PMC
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2019 | Datenpublikation | PUB-ID: 2941052B. Paaßen, Python Programming Dataset, Bielefeld University, 2019.PUB | Dateien verfügbar | DOI
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053B. Paaßen, in Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019) (Eds.: H. Yin, D. Camacho, P. Tino), Springer, Cham, 2019, p. 359-366.PUB | DOI | Download (ext.) | arXiv
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2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2935953T. W. Price, Y. Dong, R. Zhi, B. Paaßen, N. Lytle, V. Cateté, and T. Barnes, “A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms”, International Journal of Artificial Intelligence in Education, 2019, 29, 368-395.PUB | DOI | WoS
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502B. Paaßen, A. Bunge, C. Hainke, L. Sindelar, and M. Vogelsang, in Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (Ed.: M. Verleysen), I6Doc, Louvain-la-Neuve, 2019, p. 477-482.PUB | Download (ext.) | arXiv
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934571B. Paaßen, C. Gallicchio, A. Micheli, and A. Sperduti, in Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (Ed.: M. Verleysen), 2019, p. 85-94.PUB | Download (ext.) | arXiv
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900B. Paaßen, C. Göpfert, and B. Hammer, “Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces”, Neural Processing Letters, 2018, 48, 669-689.PUB | DOI | Download (ext.) | WoS | arXiv
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505B. Paaßen, A. Schulz, J. Hahne, and B. Hammer, “Expectation maximization transfer learning and its application for bionic hand prostheses”, Neurocomputing, 2018, 298, 122-133.PUB | DOI | Download (ext.) | WoS | arXiv
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2018 | Datenpublikation | PUB-ID: 2916863B. Paaßen, and A. Ahmaro, VBB Shortest Path Data 2018, Bielefeld University, 2018.PUB | Dateien verfügbar | DOI
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2018 | Datenpublikation | PUB-ID: 2919994B. Paaßen, Tree Edit Distance Learning via Adaptive Symbol Embeddings, Bielefeld University, 2018.PUB | Dateien verfügbar | DOI
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2018 | Datenpublikation | PUB-ID: 2916990B. Paaßen, Median Generalized Learning Vector Quantization for Distance Data, Bielefeld University, 2018.PUB | Dateien verfügbar | DOI
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2018 | Datenpublikation | PUB-ID: 2916980B. Paaßen, Relational Neural Gas, Bielefeld University, 2018.PUB | Dateien verfügbar | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389B. Paaßen, B. Hammer, T. Price, T. Barnes, S. Gross, and N. Pinkwart, “The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces”, Journal of Educational Data Mining, 2018, 10, 1-35.PUB | Download (ext.) | arXiv
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844B. Paaßen, C. Gallicchio, A. Micheli, and B. Hammer, in Proceedings of the 35th International Conference on Machine Learning (ICML 2018) (Eds.: J. Dy, A. Krause), 2018, p. 3973-3982.PUB | Download (ext.) | arXiv
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2018 | Preprint | Entwurf | PUB-ID: 2919918B. Paaßen, “Revisiting the tree edit distance and its backtracing: A tutorial”, arXiv:1805.06869, Draft.PUB | Download (ext.) | arXiv
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2017 | Datenpublikation | PUB-ID: 2913104B. Paaßen, Time Series Prediction for Relational and Kernel Data, Bielefeld University, 2017.PUB | Dateien verfügbar | DOI
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2017 | Datenpublikation | PUB-ID: 2912671B. Paaßen, and A. Schulz, Linear Supervised Transfer Learning Toolbox, Bielefeld University, 2017.PUB | Dateien verfügbar | DOI
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2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663B. Paaßen, in Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017) (Eds.: F.-M. Schleif, T. Villmann), 2017, p. 32-33.PUB | PDF | Download (ext.)
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2017 | Datenpublikation | PUB-ID: 2913083B. Paaßen, BinaryAdder UML Dataset, Bielefeld University, 2017.PUB | Dateien verfügbar | DOI
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037C. Prahm, A. Schulz, B. Paaßen, O. Aszmann, B. Hammer, and G. Dorffner, in Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) (Eds.: A. ten Telje, C. Popow, J.H. Holmes, L. Sacchi), Springer, 2017, p. 338--342.PUB | Dateien verfügbar | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367J. Kummert, B. Paaßen, J. Jensen, C. Göpfert, and B. Hammer, in Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Eds.: A. E.P. Villa, P. Masulli, A.J. Pons Rivero), Springer Nature, Cham, 2016, p. 251--258.PUB | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676B. Paaßen, C. Göpfert, and B. Hammer, in Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), Ciaco - I6Doc.com, Louvain-la-Neuve, 2016, p. 41--46.PUB | PDF
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2016 | Datenpublikation | PUB-ID: 2900684B. Paaßen, Java Sorting Programs, Bielefeld University, 2016.PUB | Dateien verfügbar | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509B. Paaßen, J. Jensen, and B. Hammer, in Proceedings of the 9th International Conference on Educational Data Mining (Eds.: T. Barnes, M. Chi, M. Feng), International Educational Datamining Society, Raleigh, North Carolina, USA, 2016, p. 183-190.PUB | Download (ext.)
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2016 | Datenpublikation | PUB-ID: 2900666B. Paaßen, MiniPalindrome, Bielefeld University, 2016.PUB | Dateien verfügbar | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729C. Göpfert, B. Paaßen, and B. Hammer, in Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Eds.: A. E.P. Villa, P. Masulli, A.J. Pons Rivero), Springer Nature, Cham, 2016, p. 510-517.PUB | PDF | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855B. Paaßen, A. Schulz, and B. Hammer, in Proceedings of the Workshop New Challenges in Neural Computation 2016 (Eds.: B. Hammer, T. Martinetz, T. Villmann), 2016, p. 11-18.PUB | Download (ext.)
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178C. Prahm, B. Paaßen, A. Schulz, B. Hammer, and O. Aszmann, in Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016) (Eds.: J. Ibáñez, J. Gonzáles-Vargas, J.M. Azorín, M. Akay, J.L. Pons), Springer, 2016, p. 153--157.PUB | PDF | DOI | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031B. Mokbel, B. Paaßen, F. - M. Schleif, and B. Hammer, “Metric learning for sequences in relational LVQ”, Neurocomputing, 2015, 169, 306-322.PUB | PDF | DOI | Download (ext.) | WoS
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2015 | Report | PUB-ID: 2712107A. Stöckel, B. Paaßen, R. Dickfelder, J. P. Göpfert, N. Brazda, H. W. Müller, P. Cimiano, M. Hartung, and R. Klinger, SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit, bioRxive.org, 2015.PUB | PDF | DOI | Download (ext.)
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087B. Paaßen, B. Mokbel, and B. Hammer, in Proceedings of the 8th International Conference on Educational Data Mining (Eds.: O.C. Santos, J.G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, et al.), International Educational Datamining Society, 2015, p. 632-632.PUB | Download (ext.)
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955O. Walter, R. Häb-Umbach, B. Mokbel, B. Paaßen, and B. Hammer, “Autonomous Learning of Representations”, KI - Künstliche Intelligenz, 2015, 29, 339–351.PUB | PDF | DOI | Download (ext.) | WoS
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214D. Hofmann, F. - M. Schleif, B. Paaßen, and B. Hammer, “Learning interpretable kernelized prototype-based models”, Neurocomputing, 2014, 141, 84-96.PUB | DOI | Download (ext.) | WoS
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760B. Paaßen, A. Stöckel, R. Dickfelder, J. P. Göpfert, N. Brazda, T. Kirchhoffer, H. W. Müller, R. Klinger, M. Hartung, and P. Cimiano, in Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING) (Eds.: D. Maynard, M. Erp van, B. Davis), Dublin, Ireland, 2014, p. 25-32.PUB | PDF | Download (ext.)
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058S. Gross, B. Mokbel, B. Paaßen, B. Hammer, and N. Pinkwart, “Example-based feedback provision using structured solution spaces”, International Journal of Learning Technology, 2014, 9, 248-280.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067B. Mokbel, B. Paaßen, and B. Hammer, in Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings (Eds.: S. Wermter, C. Weber, W. Duch, T. Honkela, P. Koprinkova-Hristova, S. Magg, G. Palm, A. Villa), Springer, 2014, p. 571-578.PUB | PDF | DOI | Download (ext.)
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2013 | Datenpublikation | PUB-ID: 2692491B. Paaßen, VBB Midi Dataset, Bielefeld University, 2013.PUB | Dateien verfügbar | DOI
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185B. Mokbel, S. Gross, B. Paaßen, N. Pinkwart, and B. Hammer, in Proceedings of the 6th International Conference on Educational Data Mining (EDM) (Eds.: S.K. D'Mello, R.A. Calvo, A. Olney), 2013, p. 334-335.PUB | Download (ext.)