69 Publikationen
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2023 | Preprint | Veröffentlicht | PUB-ID: 2980970Strotherm J, Müller A, Hammer B, Paaßen B (2023)PUB | Download (ext.) | arXiv
Fairness in KI-Systemen. -
2022 | Konferenzbeitrag | PUB-ID: 2979001Paaßen B, Dywel M, Fleckenstein M, Pinkwart N (2022)PUB | DOI | Download (ext.)
Sparse Factor Autoencoders for Item Response Theory.
In: Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). Cristea AI, Brown C, Mitrovic T, Bosch N (Eds); 17–26. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978970Paaßen B, Koprinska I, Yacef K (2022)PUB | PDF | DOI | Download (ext.)
Recursive Tree Grammar Autoencoders.
Machine Learning 111: 3393–3423. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2979004Paaßen B, Dehne J, Krishnaraja S, Kovalkov A, Gal K, Pinkwart N (2022)PUB | PDF | DOI | Download (ext.)
A conceptual graph-based model of creativity in learning.
Frontiers in Education 7. -
2022 | Konferenzbeitrag | PUB-ID: 2979003Paaßen B, Baumgartner T, Geisen M, Riedl N, Kravčík M (2022)PUB | Download (ext.)
Few-shot Keypose Detection for Learning of Psychomotor Skills.
In: Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2022). Asyraaf Mat Sanusi K, Limbu B, Schneider J, Di Mitri D, Klemke R (Eds); 22–27. -
2022 | Konferenzbeitrag | PUB-ID: 2979002Paaßen B, Dywel M, Fleckenstein M, Pinkwart N (2022)PUB | DOI | Download (ext.)
Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings.
In: Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022) Practitioner’s Track. DeFalco JA, Matos DDM da C, Blanc B, Reichow I (Eds); 132–137. -
2022 | Konferenzbeitrag | PUB-ID: 2979000Paaßen B, Göpfert C, Pinkwart N (2022)PUB | DOI | Download (ext.)
Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood.
In: Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). Cristea AI, Brown C, Mitrovic T, Bosch N (Eds); 555–559. -
2022 | Konferenzbeitrag | PUB-ID: 2978999Picones G, Paaßen B, Koprinska I, Yacef K (2022)PUB | DOI | Download (ext.)
Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencing.
In: Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). Cristea AI, Brown C, Mitrovic T, Bosch N (Eds); 217–227. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)PUB | DOI | Download (ext.) | arXiv
Reservoir Memory Machines as Neural Computers.
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978969Paaßen B, McBroom J, Jeffries B, Koprinska I, Yacef K (2021)PUB | DOI | Download (ext.)
Mapping Python Programs to Vectors using Recursive Neural Encodings.
Journal of Educational Datamining 13(3): 1–35. -
2021 | Zeitschriftenaufsatz | PUB-ID: 2978997Kovalkov A, Paaßen B, Segal A, Pinkwart N, Gal K (2021)PUB | DOI | Download (ext.) | arXiv
Automatic Creativity Measurement in Scratch Programs Across Modalities.
IEEE Transactions on Learning Technologies 14(6): 740–753. -
2021 | Konferenzbeitrag | PUB-ID: 2978996Bacciu D, Bianchi FM, Paaßen B, Alippi C (2021)PUB | Download (ext.)
Deep learning for graphs.
In: {Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021)}. Verleysen M (Ed); 89–98. -
2021 | Konferenzbeitrag | PUB-ID: 2978995Paaßen B, Kravčík M (2021)PUB | Download (ext.)
Teaching psychomotor skills using machine learning for error detection.
In: Proceedings of the 1st International Workshop on Multimodal Immersive Learning Systems ({MILeS} 2021). Klemke R, Asyraaf Mat Sanusi K (Eds); 8–14. -
2021 | Konferenzbeitrag | PUB-ID: 2978967Paaßen B (2021)PUB | DOI | Download (ext.) | arXiv
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs.
In: Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP 2021). Reyes N, Connor R, Kriege N, Kazempour D, Bartolini I, Schubert E, Chen J-J (Eds); Springer: 364–371. -
2021 | Konferenzbeitrag | PUB-ID: 2978966Kovalkov A, Paaßen B, Segal A, Gal K, Pinkwart N (2021)PUB | Download (ext.)
Modeling Creativity in Visual Programming: From Theory to Practice.
In: Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021). Bouchet F, Vie J-J, Hsiao S, Sahebi S (Eds); International Educational Datamining Society. -
2021 | Konferenzbeitrag | PUB-ID: 2978965Paaßen B, Bertsch A, Langer-Fischer K, Rüdian S, Wang X, Sinha R, Kuzilek J, Britsch S, Pinkwart N (2021)PUB | Download (ext.)
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks.
In: Proceedings of the 15th {International Conference on Educational Data Mining} ({EDM} 2021). Bouchet F, Vie J-J, Hsiao S, Sahebi S (Eds); International Educational Datamining Society. -
2021 | Konferenzbeitrag | PUB-ID: 2978964McBroom J, Paaßen B, Jeffries B, Koprinska I, Yacef K (2021)PUB | DOI
Progress Networks as a Tool for Analysing Student Programming Difficulties.
In: Proceedings of the Twenty-Third Australasian Computing Education Conference (ACE '21). Szabo C, Sheard J (Eds); Association for Computing Machinery: 158–167. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Paaßen B, Schulz A, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | arXiv
Reservoir Stack Machines.
Neurocomputing 470: 352-364. -
2020 | Konferenzbeitrag | PUB-ID: 2978963Paaßen B, Koprinska I, Yacef K (2020)PUB | DOI | Download (ext.) | arXiv
Tree Echo State Autoencoders with Grammars.
In: Proceedings of the 2020 International Joint Conference on Neural Networks ({IJCNN} 2020). Roy A (Ed); 1–8. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Paaßen B, Schulz A (2020)PUB | Download (ext.) | arXiv
Reservoir memory machines.
In: Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN 2020). Verleysen M (Ed); Bruges: i6doc: 567-572. -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944191Morgenroth T, Stratemeyer M, Paaßen B (2020)PUB | DOI | WoS | PubMed | Europe PMC
The Gendered Nature and Malleability of Gamer Stereotypes.
Cyberpsychology, Behavior, and Social Networking 23(8): 557-561. -
2019 | Monographie | PUB-ID: 2935200Paaßen B, Artelt A, Hammer B (2019)PUB | Dateien verfügbar
Lecture Notes on Applied Optimization.
Faculty of Technology, Bielefeld University. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)PUB | PDF | DOI | WoS | PubMed | Europe PMC
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
2019 | Datenpublikation | PUB-ID: 2941052Paaßen B (2019)PUB | Dateien verfügbar | DOI
Python Programming Dataset.
Bielefeld University. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053Paaßen B (2019)PUB | DOI | Download (ext.) | arXiv
Adversarial Edit Attacks for Tree Data.
In: Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019). Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 11871. Cham: Springer: 359-366. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2935953Price TW, Dong Y, Zhi R, Paaßen B, Lytle N, Cateté V, Barnes T (2019)PUB | DOI | WoS
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms.
International Journal of Artificial Intelligence in Education 29(3): 368-395. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502Paaßen B, Bunge A, Hainke C, Sindelar L, Vogelsang M (2019)PUB | Download (ext.) | arXiv
Dynamic fairness - Breaking vicious cycles in automatic decision making.
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc: 477-482. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934571Paaßen B, Gallicchio C, Micheli A, Sperduti A (2019)PUB | Download (ext.) | arXiv
Embeddings and Representation Learning for Structured Data.
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); 85-94. -
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Paaßen B, Göpfert C, Hammer B (2018)PUB | DOI | Download (ext.) | WoS | arXiv
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
Neural Processing Letters 48(2): 669-689. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Paaßen B, Schulz A, Hahne J, Hammer B (2018)PUB | DOI | Download (ext.) | WoS | arXiv
Expectation maximization transfer learning and its application for bionic hand prostheses.
Neurocomputing 298: 122-133. -
2018 | Datenpublikation | PUB-ID: 2916863Paaßen B, Ahmaro A (2018)PUB | Dateien verfügbar | DOI
VBB Shortest Path Data 2018.
Bielefeld University. -
2018 | Datenpublikation | PUB-ID: 2919994Paaßen B (2018)PUB | Dateien verfügbar | DOI
Tree Edit Distance Learning via Adaptive Symbol Embeddings.
Bielefeld University. -
2018 | Datenpublikation | PUB-ID: 2916990Paaßen B (2018)PUB | Dateien verfügbar | DOI
Median Generalized Learning Vector Quantization for Distance Data.
Bielefeld University. -
2018 | Datenpublikation | PUB-ID: 2916980Paaßen B (2018)PUB | Dateien verfügbar | DOI
Relational Neural Gas.
Bielefeld University. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)PUB | Download (ext.) | arXiv
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces.
Journal of Educational Data Mining 10(1): 1-35. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)PUB | Download (ext.) | arXiv
Tree Edit Distance Learning via Adaptive Symbol Embeddings.
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. 3973-3982. -
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2018 | Preprint | Entwurf | PUB-ID: 2919918Paaßen B (Draft)PUB | Download (ext.) | arXiv
Revisiting the tree edit distance and its backtracing: A tutorial.
arXiv:1805.06869. -
2017 | Datenpublikation | PUB-ID: 2913104Paaßen B (2017)PUB | Dateien verfügbar | DOI
Time Series Prediction for Relational and Kernel Data.
Bielefeld University. -
2017 | Datenpublikation | PUB-ID: 2912671Paaßen B, Schulz A (2017)PUB | Dateien verfügbar | DOI
Linear Supervised Transfer Learning Toolbox.
Bielefeld University. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369Paaßen B, Schulz A, Hahne J, Hammer B (2017)PUB | PDF
An EM transfer learning algorithm with applications in bionic hand prostheses.
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134. -
2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914663Paaßen B (2017)PUB | PDF | Download (ext.)
Two or three things we do (not) know about distances.
In: Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017). Schleif F-M, Villmann T (Eds); Machine Learning Reports, 32-33. -
2017 | Datenpublikation | PUB-ID: 2913083Paaßen B (2017)PUB | Dateien verfügbar | DOI
BinaryAdder UML Dataset.
Bielefeld University. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)PUB | Dateien verfügbar | DOI
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)PUB | DOI
Local Reject Option for Deterministic Multi-class SVM.
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. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258. -
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676Paaßen B, Göpfert C, Hammer B (2016)PUB | PDF
Gaussian process prediction for time series of structured data.
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46. -
2016 | Datenpublikation | PUB-ID: 2900684Paaßen B (2016)PUB | Dateien verfügbar | DOI
Java Sorting Programs.
Bielefeld University. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509Paaßen B, Jensen J, Hammer B (2016)PUB | Download (ext.)
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190. -
2016 | Datenpublikation | PUB-ID: 2900666Paaßen B (2016)PUB | Dateien verfügbar | DOI
MiniPalindrome.
Bielefeld University. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729Göpfert C, Paaßen B, Hammer B (2016)PUB | PDF | DOI
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.
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. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 510-517. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Paaßen B, Schulz A, Hammer B (2016)PUB | Download (ext.)
Linear Supervised Transfer Learning for Generalized Matrix LVQ.
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports, 11-18. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)PUB | PDF | DOI | Download (ext.)
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift.
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)PUB | PDF | DOI | Download (ext.) | WoS
Metric learning for sequences in relational LVQ.
Neurocomputing 169(SI): 306-322. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156Paaßen B, Mokbel B, Hammer B (2015)PUB | PDF
Adaptive structure metrics for automated feedback provision in Java programming.
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312. -
2015 | Report | PUB-ID: 2712107Stöckel A, Paaßen B, Dickfelder R, Göpfert JP, Brazda N, Müller HW, Cimiano P, Hartung M, Klinger R (2015)PUB | PDF | DOI | Download (ext.)
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit.
bioRxive.org. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087Paaßen B, Mokbel B, Hammer B (2015)PUB | Download (ext.)
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
In: Proceedings of the 8th International Conference on Educational Data Mining. Santos OC, Boticario JG, Romero C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, Desmarais M (Eds); International Educational Datamining Society: 632-632. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)PUB | PDF | DOI | Download (ext.) | WoS
Autonomous Learning of Representations.
KI - Künstliche Intelligenz 29(4): 339–351. -
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)PUB | DOI | Download (ext.) | WoS
Learning interpretable kernelized prototype-based models.
Neurocomputing 141: 84-96. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554Mokbel B, Paaßen B, Hammer B (2014)PUB | PDF
Adaptive distance measures for sequential data.
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 265-270. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760Paaßen B, Stöckel A, Dickfelder R, Göpfert JP, Brazda N, Kirchhoffer T, Müller HW, Klinger R, Hartung M, Cimiano P (2014)PUB | PDF | Download (ext.)
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
In: Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING). Maynard D, Erp van M, Davis B (Eds); Dublin, Ireland: 25-32. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)PUB | DOI | Download (ext.)
Example-based feedback provision using structured solution spaces.
International Journal of Learning Technology 9(3): 248-280. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067Mokbel B, Paaßen B, Hammer B (2014)PUB | PDF | DOI | Download (ext.)
Efficient Adaptation of Structure Metrics in Prototype-Based Classification.
In: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa A (Eds); Lecture Notes in Computer Science, 8681. Springer: 571-578. -
2013 | Datenpublikation | PUB-ID: 2692491Paaßen B (2013)PUB | Dateien verfügbar | DOI
VBB Midi Dataset.
Bielefeld University. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)PUB | Download (ext.)
Domain-Independent Proximity Measures in Intelligent Tutoring Systems.
In: Proceedings of the 6th International Conference on Educational Data Mining (EDM). D'Mello SK, Calvo RA, Olney A (Eds); 334-335.