Benjamin Paaßen

bpaassen@techfak.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0002-3899-2450

PEVZ-ID
49941564

69 Publikationen

Alle markieren

  • [69]
    2024 | Zeitschriftenaufsatz | PUB-ID: 2987814
    T. Morgenroth, C. T. Begeny, T. A. Kirby, B. Paaßen, and Y. Zeng, “Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US Americans”, Self and Identity, 2024, 1-25.
    PUB | DOI | WoS
     
  • [68]
    2023 | Preprint | Veröffentlicht | PUB-ID: 2980970
    J. Strotherm, A. Müller, B. Hammer, and B. Paaßen, “Fairness in KI-Systemen”, 2023.
    PUB | Download (ext.) | arXiv
     
  • [67]
    2022 | Konferenzbeitrag | PUB-ID: 2979001
    B. 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.)
     
  • [66]
    2022 | Zeitschriftenaufsatz | PUB-ID: 2978970 OA
    B. Paaßen, I. Koprinska, and K. Yacef, “Recursive Tree Grammar Autoencoders”, Machine Learning, 2022, 111, 3393–3423.
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  • [65]
    2022 | Zeitschriftenaufsatz | PUB-ID: 2979004 OA
    B. 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.
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  • [64]
    2022 | Konferenzbeitrag | PUB-ID: 2979003
    B. 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.)
     
  • [63]
    2022 | Konferenzbeitrag | PUB-ID: 2979002
    B. 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.)
     
  • [62]
    2022 | Konferenzbeitrag | PUB-ID: 2979000
    B. 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.)
     
  • [61]
    2022 | Konferenzbeitrag | PUB-ID: 2978999
    G. 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.)
     
  • [60]
    2022 | Zeitschriftenaufsatz | PUB-ID: 2978998
    B. 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
     
  • [59]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978969
    B. 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.)
     
  • [58]
    2021 | Zeitschriftenaufsatz | PUB-ID: 2978997
    A. 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
     
  • [57]
    2021 | Konferenzbeitrag | PUB-ID: 2978996
    D. 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.)
     
  • [56]
    2021 | Konferenzbeitrag | PUB-ID: 2978995
    B. 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.
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  • [55]
    2021 | Konferenzbeitrag | PUB-ID: 2978967
    B. 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
     
  • [54]
    2021 | Konferenzbeitrag | PUB-ID: 2978966
    A. 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.
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  • [53]
    2021 | Konferenzbeitrag | PUB-ID: 2978965
    B. 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.
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  • [52]
    2021 | Konferenzbeitrag | PUB-ID: 2978964
    J. McBroom, B. Paaßen, B. Jeffries, I. Koprinska, and K. Yacef, in Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE '21) (Eds.: C. Szabo, J. Sheard), Association For Computing Machinery, 2021, p. 158–167.
    PUB | DOI
     
  • [51]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542
    B. Paaßen, A. Schulz, and B. Hammer, “Reservoir Stack Machines”, Neurocomputing, 2021, 470, 352-364.
    PUB | DOI | Download (ext.) | WoS | arXiv
     
  • [50]
    2020 | Konferenzbeitrag | PUB-ID: 2978963
    B. 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
     
  • [49]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931
    B. 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
     
  • [48]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944191
    T. 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
     
  • [47]
    2019 | Monographie | PUB-ID: 2935200 OA
    B. Paaßen, A. Artelt, and B. Hammer, Lecture Notes on Applied Optimization, Faculty of Technology, Bielefeld University, 2019.
    PUB | Dateien verfügbar
     
  • [46]
    2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458 OA
    C. 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
     
  • [45]
    2019 | Datenpublikation | PUB-ID: 2941052 OA
    B. Paaßen, Python Programming Dataset, Bielefeld University, 2019.
    PUB | Dateien verfügbar | DOI
     
  • [44]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053
    B. 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
     
  • [43]
    2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2935953
    T. 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
     
  • [42]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502
    B. 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
     
  • [41]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934571
    B. 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
     
  • [40]
    2019 | Bielefelder E-Dissertation | PUB-ID: 2935545 OA
    B. Paaßen, Metric Learning for Structured Data, Universität Bielefeld, Bielefeld, 2019.
    PUB | PDF | DOI
     
  • [39]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900
    B. 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
     
  • [38]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505
    B. 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
     
  • [37]
    2018 | Datenpublikation | PUB-ID: 2916863 OA
    B. Paaßen, and A. Ahmaro, VBB Shortest Path Data 2018, Bielefeld University, 2018.
    PUB | Dateien verfügbar | DOI
     
  • [36]
    2018 | Datenpublikation | PUB-ID: 2919994 OA
    B. Paaßen, Tree Edit Distance Learning via Adaptive Symbol Embeddings, Bielefeld University, 2018.
    PUB | Dateien verfügbar | DOI
     
  • [35]
    2018 | Datenpublikation | PUB-ID: 2916990 OA
    B. Paaßen, Median Generalized Learning Vector Quantization for Distance Data, Bielefeld University, 2018.
    PUB | Dateien verfügbar | DOI
     
  • [34]
    2018 | Datenpublikation | PUB-ID: 2916980 OA
    B. Paaßen, Relational Neural Gas, Bielefeld University, 2018.
    PUB | Dateien verfügbar | DOI
     
  • [33]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389
    B. 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
     
  • [32]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844
    B. 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
     
  • [31]
    2018 | Konferenzbeitrag | PUB-ID: 2916318
    K. Berger, A. Schulz, B. Paaßen, and B. Hammer, 2018.
    PUB | DOI
     
  • [30]
    2018 | Preprint | Entwurf | PUB-ID: 2919918
    B. Paaßen, “Revisiting the tree edit distance and its backtracing: A tutorial”, arXiv:1805.06869, Draft.
    PUB | Download (ext.) | arXiv
     
  • [29]
    2017 | Datenpublikation | PUB-ID: 2913104 OA
    B. Paaßen, Time Series Prediction for Relational and Kernel Data, Bielefeld University, 2017.
    PUB | Dateien verfügbar | DOI
     
  • [28]
    2017 | Datenpublikation | PUB-ID: 2912671 OA
    B. Paaßen, and A. Schulz, Linear Supervised Transfer Learning Toolbox, Bielefeld University, 2017.
    PUB | Dateien verfügbar | DOI
     
  • [27]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369 OA
    B. Paaßen, A. Schulz, J. Hahne, and B. Hammer, in Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017) (Ed.: M. Verleysen), I6Doc.com, Bruges, 2017, p. 129-134.
    PUB | PDF
     
  • [26]
    2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663 OA
    B. 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.)
     
  • [25]
    2017 | Datenpublikation | PUB-ID: 2913083 OA
    B. Paaßen, BinaryAdder UML Dataset, Bielefeld University, 2017.
    PUB | Dateien verfügbar | DOI
     
  • [24]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905302 OA
    B. Paaßen, T. Morgenroth, and M. Stratemeyer, “What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture”, Sex Roles, 2017, 76, 421-435.
    PUB | PDF | DOI | WoS
     
  • [23]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037 OA
    C. 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
     
  • [22]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367
    J. 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
     
  • [21]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224 OA
    B. Paaßen, B. Mokbel, and B. Hammer, “Adaptive structure metrics for automated feedback provision in intelligent tutoring systems”, Neurocomputing, 2016, 192, 3-13.
    PUB | PDF | DOI | WoS
     
  • [20]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676 OA
    B. 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
     
  • [19]
    2016 | Datenpublikation | PUB-ID: 2900684 OA
    B. Paaßen, Java Sorting Programs, Bielefeld University, 2016.
    PUB | Dateien verfügbar | DOI
     
  • [18]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509
    B. 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.
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  • [17]
    2016 | Datenpublikation | PUB-ID: 2900666 OA
    B. Paaßen, MiniPalindrome, Bielefeld University, 2016.
    PUB | Dateien verfügbar | DOI
     
  • [16]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729 OA
    C. 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
     
  • [15]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855
    B. 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.)
     
  • [14]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178 OA
    C. 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.
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  • [13]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031 OA
    B. 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
     
  • [12]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156 OA
    B. Paaßen, B. Mokbel, and B. Hammer, in Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), 2015, p. 307-312.
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  • [11]
    2015 | Report | PUB-ID: 2712107 OA
    A. 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.
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  • [10]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087
    B. 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.
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  • [9]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955 OA
    O. 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
     
  • [8]
    2015 | Bielefelder Masterarbeit | PUB-ID: 2736686 OA
    B. Paaßen, Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming, Bielefeld University, Bielefeld, 2015.
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  • [7]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
    D. Hofmann, F. - M. Schleif, B. Paaßen, and B. Hammer, “Learning interpretable kernelized prototype-based models”, Neurocomputing, 2014, 141, 84-96.
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  • [6]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554 OA
    B. Mokbel, B. Paaßen, and B. Hammer, in ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), I6Doc.com, Bruges, Belgium, 2014, p. 265-270.
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  • [5]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760 OA
    B. 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.
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  • [4]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058
    S. 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.
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  • [3]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067 OA
    B. 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.
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  • [2]
    2013 | Datenpublikation | PUB-ID: 2692491 OA
    B. Paaßen, VBB Midi Dataset, Bielefeld University, 2013.
    PUB | Dateien verfügbar | DOI
     
  • [1]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185
    B. 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.
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