80 Publikationen
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2024 | Konferenzbeitrag | PUB-ID: 2992095FairGLVQ: Fairness in Partition-Based ClassificationPUB | DOI | Download (ext.) | WoS
Störck F, Hinder F, Brinkrolf J, Paaßen B, Vaquet V, Hammer B (2024)
In: Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024). Villmann T, Kaden M, Geweniger T, Schleif F-M (Eds); Cham: Springer Nature Switzerland: 141-151. -
2024 | Konferenzbeitrag | PUB-ID: 2992094K Minimum Enclosing Balls for Outlier DetectionPUB | PDF | DOI | WoS
Staps D, Villmann T, Paaßen B (2024)
In: Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024). Villmann T, Kaden M, Geweniger T, Schleif F-M (Eds); Cham: Springer Nature Switzerland: 174-184. -
2024 | Konferenzbeitrag | PUB-ID: 2993304Few-shot similarity learning for motion classification via electromyographyPUB | DOI | Download (ext.)
Liu R, Paaßen B (2024)
In: 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Verleysen M (Ed); . -
2024 | Konferenzbeitrag | PUB-ID: 2993305Tumor Grading via Decorrelated Sparse Survival RegressionPUB | DOI | Download (ext.)
Paaßen B, Gaisa N, Rose M, Bösherz M-S (2024)
In: 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Verleysen M (Ed); . -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991794Leveraging Local Data Sampling Strategies to Improve Federated LearningPUB | DOI | Download (ext.) | WoS
Düsing C, Cimiano P, Paaßen B (2024)
International Journal of Data Science and Analytics. -
2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2992769Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary DebatesPUB | arXiv
Kostikova A, Beese D, Paaßen B, Pütz O, Wiedemann G, Eger S (Accepted)
In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). -
2024 | Konferenzbeitrag | PUB-ID: 2992767Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for ProgrammingPUB | PDF | DOI | Download (ext.)
Dannath J, Deriyeva A, Paaßen B (2024)
In: 22. Fachtagung Bildungstechnologien (DELFI). Schulz S, Kiesler N (Eds); Bonn: Gesellschaft für Informatik e.V. -
2024 | Konferenzbeitrag | PUB-ID: 2992765Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for ProgrammingPUB | PDF | DOI | Download (ext.)
Dannath J, Deriyeva A, Paaßen B (2024)
In: 22. Fachtagung Bildungstechnologien (DELFI). Schulz S, Kiesler N (Eds); Bonn: Gesellschaft für Informatik e.V. -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2992700Fairness in KI-SystemenPUB | DOI | arXiv
Strotherm J, Müller A, Hammer B, Paaßen B (2024)
In: Vertrauen in Künstliche Intelligenz. Eine multi-perspektivische Betrachtung. Schork S (Ed); Wiesbaden: Springer Fachmedien Wiesbaden: 163-183. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2991552Automatic Matchmaking in Two-Versus-Two SportsPUB | DOI | Download (ext.)
Rüttgers S, Kuhl U, Paaßen B (2024)
In: Proceedings of the 17th International Conference on Educational Data Mining. Paaßen B, Demmans Epp C (Eds); International Educational Data Mining Society: 458--468. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2990664EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German LanguagePUB | Download (ext.)
Palomino A, Fischer A, Kuzilek J, Nitsch J, Pinkwart N, Paaßen B (2024)
In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies (Volume 3: System Demonstrations). Chang K-W, Lee A, Rajani N (Eds); Association for Computational Linguistics: 26-35. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2987814Dissecting Whiteness: consistencies and differences in the stereotypes of lower- and upper-class White US AmericansPUB | DOI | WoS
Morgenroth T, Begeny CT, Kirby TA, Paaßen B, Zeng Y (2024)
Self and Identity 23(1-2): 70-94. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2990550Diffusion-based Visual Counterfactual Explanations – Towards Systematic Quantitative EvaluationPUB | Download (ext.) | arXiv
Vaeth P, M. Fruehwald A, Paaßen B, Gregorova M (2023)
In: Proceedings of the 5th International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD) at the European Conference on Machine Learning (ECML). Guidotti R, Naretto F, Cerquitelli T, Biecek P, Regoli D (Eds); . -
2022 | Konferenzbeitrag | PUB-ID: 2979001Sparse Factor Autoencoders for Item Response TheoryPUB | DOI | Download (ext.)
Paaßen B, Dywel M, Fleckenstein M, Pinkwart N (2022)
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: 2978970Recursive Tree Grammar AutoencodersPUB | PDF | DOI | Download (ext.)
Paaßen B, Koprinska I, Yacef K (2022)
Machine Learning 111: 3393–3423. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2979004A conceptual graph-based model of creativity in learningPUB | PDF | DOI | Download (ext.)
Paaßen B, Dehne J, Krishnaraja S, Kovalkov A, Gal K, Pinkwart N (2022)
Frontiers in Education 7. -
2022 | Konferenzbeitrag | PUB-ID: 2979003Few-shot Keypose Detection for Learning of Psychomotor SkillsPUB | Download (ext.)
Paaßen B, Baumgartner T, Geisen M, Riedl N, Kravčík M (2022)
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: 2979002Interpretable Knowledge Gain Prediction for Vocational Preparatory E-LearningsPUB | DOI | Download (ext.)
Paaßen B, Dywel M, Fleckenstein M, Pinkwart N (2022)
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: 2979000Faster Confidence Intervals for Item Response Theory via an Approximate LikelihoodPUB | DOI | Download (ext.)
Paaßen B, Göpfert C, Pinkwart N (2022)
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: 2978999Combining domain modelling and student modelling techniques in a single pipeline to support task-sequencingPUB | DOI | Download (ext.)
Picones G, Paaßen B, Koprinska I, Yacef K (2022)
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: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978969Mapping Python Programs to Vectors using Recursive Neural EncodingsPUB | DOI | Download (ext.)
Paaßen B, McBroom J, Jeffries B, Koprinska I, Yacef K (2021)
Journal of Educational Datamining 13(3): 1–35. -
2021 | Zeitschriftenaufsatz | PUB-ID: 2978997Automatic Creativity Measurement in Scratch Programs Across ModalitiesPUB | DOI | Download (ext.) | arXiv
Kovalkov A, Paaßen B, Segal A, Pinkwart N, Gal K (2021)
IEEE Transactions on Learning Technologies 14(6): 740–753. -
2021 | Konferenzbeitrag | PUB-ID: 2978996Deep learning for graphsPUB | Download (ext.)
Bacciu D, Bianchi FM, Paaßen B, Alippi C (2021)
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: 2978995Teaching psychomotor skills using machine learning for error detectionPUB | Download (ext.)
Paaßen B, Kravčík M (2021)
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: 2978967An A*-algorithm for the Unordered Tree Edit Distance with Custom CostsPUB | DOI | Download (ext.) | arXiv
Paaßen B (2021)
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: 2978966Modeling Creativity in Visual Programming: From Theory to PracticePUB | Download (ext.)
Kovalkov A, Paaßen B, Segal A, Gal K, Pinkwart N (2021)
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: 2978965Analyzing Student Success and Mistakes in Virtual Microscope Structure Search TasksPUB | Download (ext.)
Paaßen B, Bertsch A, Langer-Fischer K, Rüdian S, Wang X, Sinha R, Kuzilek J, Britsch S, Pinkwart N (2021)
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: 2978964Progress Networks as a Tool for Analysing Student Programming DifficultiesPUB | DOI
McBroom J, Paaßen B, Jeffries B, Koprinska I, Yacef K (2021)
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: 2954542 PUB | DOI | Download (ext.) | WoS | arXiv
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2020 | Konferenzbeitrag | PUB-ID: 2978963Tree Echo State Autoencoders with GrammarsPUB | DOI | Download (ext.) | arXiv
Paaßen B, Koprinska I, Yacef K (2020)
In: Proceedings of the 2020 International Joint Conference on Neural Networks ({IJCNN} 2020). Roy A (Ed); 1–8. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941931Reservoir memory machinesPUB | Download (ext.) | arXiv
Paaßen B, Schulz A (2020)
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: 2944191The Gendered Nature and Malleability of Gamer StereotypesPUB | DOI | WoS | PubMed | Europe PMC
Morgenroth T, Stratemeyer M, Paaßen B (2020)
Cyberpsychology, Behavior, and Social Networking 23(8): 557-561. -
2019 | Monographie | PUB-ID: 2935200Lecture Notes on Applied OptimizationPUB | Dateien verfügbar
Paaßen B, Artelt A, Hammer B (2019)
Faculty of Technology, Bielefeld University. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937053Adversarial Edit Attacks for Tree DataPUB | DOI | Download (ext.) | arXiv
Paaßen B (2019)
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: 2935953A Comparison of the Quality of Data-Driven Programming Hint Generation AlgorithmsPUB | DOI | WoS
Price TW, Dong Y, Zhi R, Paaßen B, Lytle N, Cateté V, Barnes T (2019)
International Journal of Artificial Intelligence in Education 29(3): 368-395. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933502Dynamic fairness - Breaking vicious cycles in automatic decision makingPUB | Download (ext.) | arXiv
Paaßen B, Bunge A, Hainke C, Sindelar L, Vogelsang M (2019)
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: 2934571Embeddings and Representation Learning for Structured DataPUB | Download (ext.) | arXiv
Paaßen B, Gallicchio C, Micheli A, Sperduti A (2019)
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: 2911900Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133. -
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2018 | Datenpublikation | PUB-ID: 2916990Median Generalized Learning Vector Quantization for Distance DataPUB | Dateien verfügbar | DOI
Paaßen B (2018)
Bielefeld University. -
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance SpacesPUB | Download (ext.) | arXiv
Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)
Journal of Educational Data Mining 10(1): 1-35. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Tree Edit Distance Learning via Adaptive Symbol EmbeddingsPUB | Download (ext.) | arXiv
Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)
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. -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017. -
2018 | Preprint | Entwurf | PUB-ID: 2919918Revisiting the tree edit distance and its backtracing: A tutorialPUB | Download (ext.) | arXiv
Paaßen B (Draft)
arXiv:1805.06869. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
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: 2914663Two or three things we do (not) know about distancesPUB | PDF | Download (ext.)
Paaßen B (2017)
In: Proceedings of the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017). Schleif F-M, Villmann T (Eds); Machine Learning Reports. 32-33. -
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905302What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game CulturePUB | PDF | DOI | WoS
Paaßen B, Morgenroth T, Stratemeyer M (2017)
Sex Roles 76(7-8): 421-435. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
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: 2909367Local Reject Option for Deterministic Multi-class SVMPUB | DOI
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
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. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224Adaptive structure metrics for automated feedback provision in intelligent tutoring systemsPUB | PDF | DOI | WoS
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676Gaussian process prediction for time series of structured dataPUB | PDF
Paaßen B, Göpfert C, Hammer B (2016)
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. -
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for ProgrammingPUB | Download (ext.)
Paaßen B, Jensen J, Hammer B (2016)
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. -
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729Convergence of Multi-pass Large Margin Nearest Neighbor Metric LearningPUB | PDF | DOI
Göpfert C, Paaßen B, Hammer B (2016)
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: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
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 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156Adaptive structure metrics for automated feedback provision in Java programmingPUB | PDF
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322. -
2015 | Report | PUB-ID: 2712107SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source ToolkitPUB | PDF | DOI | Download (ext.)
Stöckel A, Paaßen B, Dickfelder R, Göpfert JP, Brazda N, Müller HW, Cimiano P, Hartung M, Klinger R (2015)
bioRxive.org. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring SystemsPUB | Download (ext.)
Paaßen B, Mokbel B, Hammer B (2015)
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, et al. (Eds); International Educational Datamining Society: 632-632. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955Autonomous Learning of RepresentationsPUB | PDF | DOI | Download (ext.) | WoS
Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)
KI - Künstliche Intelligenz 29(4): 339–351. -
2015 | Bielefelder Masterarbeit | PUB-ID: 2736686Adaptive Affine Sequence Alignment Using Algebraic Dynamic ProgrammingPUB | PDF
Paaßen B (2015)
Bielefeld: Bielefeld University. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554Adaptive distance measures for sequential dataPUB | PDF
Mokbel B, Paaßen B, Hammer B (2014)
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: 2683760Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury TreatmentsPUB | PDF | Download (ext.)
Paaßen B, Stöckel A, Dickfelder R, Göpfert JP, Brazda N, Kirchhoffer T, Müller HW, Klinger R, Hartung M, Cimiano P (2014)
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: 2734058Example-based feedback provision using structured solution spacesPUB | DOI | Download (ext.)
Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)
International Journal of Learning Technology 9(3): 248-280. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067Efficient Adaptation of Structure Metrics in Prototype-Based ClassificationPUB | PDF | DOI | Download (ext.)
Mokbel B, Paaßen B, Hammer B (2014)
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. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Domain-Independent Proximity Measures in Intelligent Tutoring SystemsPUB | Download (ext.)
Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)
In: Proceedings of the 6th International Conference on Educational Data Mining (EDM). D'Mello SK, Calvo RA, Olney A (Eds); 334-335.