PUB - Publikationen an der Universität Bielefeld

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• [29]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985115

  Geller, N., Moringen, A., & Friedman, J., 2023. Learning juggling by gradually increasing difficulty vs. learning the complete skill results in different learning patterns. Frontiers in Psychology , 14: 1284053.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [28]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2963774

  Tamir-Ostrover, H., et al., 2022. Automatic Evaluation of Aspects of Performance and Scheduling in Playing the Piano. Presented at the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Barcelona.

  PUB | PDF
   
• [27]
  

  2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2960344

  Heitkamp, D., et al., 2022. Optimizing a Scaffold to Guide Motor Skill Learning. In AAAI-22 Workshop on Reinforcement Learning for Education: Opportunities and Challenges.

  PUB | PDF
   
• [26]
  

  2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2960156

  Ziegenbein, N., Friedman, J., & Moringen, A., 2022. Monitoring the Learning Progress In Piano Playing With Hidden Markov Models. In AAAI Workshop AI for Education.

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• [25]
  

  2021 | Preprint | PUB-ID: 2960158

  Moringen, A., et al., 2021. Optimizing piano practice with a utility-based scaffold. arXiv:2106.12937.

  PUB | arXiv
   
• [24]
  

  2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2960159

  Moringen, A., Fleer, S., & Ritter, H., 2021. Meta-learning Haptic Exploration of Simple 3D Objects. In 2021 IEEE World Haptics Conference. Piscataway, NJ: IEEE.

  PUB | PDF
   
• [23]
  

  2020 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2949059

  Moringen, A., 2020. Learning to Teach: Scaffolded Meta-Learner for Efficient Teaching of Human Learners. Presented at the NeurIPS, WiML Workshop, 2020

  PUB | PDF
   
• [22]
  

  2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2943876

  Moringen, A., et al., 2020. Attention-based Robot Learning of Haptic Interaction. In I. Nisky, et al., eds. Haptics: Science, Technology, Applications. 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings. Lecture Notes in Computer Science. no.12272 Cham: Springer, pp. 462-470.

  PUB | PDF | DOI | Download (ext.)
   
• [21]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939850

  Fleer, S., et al., 2020. Learning efficient haptic shape exploration with a rigid tactile sensor array. PLOS ONE, 15(1): e0226880.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC | arXiv
   
• [20]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2953757

  Krieger, K., Moringen, A., & Ritter, H., 2019. Number of Fingers and Grasping Orientation Influence Human Performance During Haptic Rotation. In 2019 IEEE World Haptics Conference (WHC). Piscataway, NJ: IEEE, pp. 79-84.

  PUB | DOI
   
• [19]
  

  2019 | Datenpublikation | PUB-ID: 2936475

  Fleer, S., et al., 2019. Supplementary Material - Learning efficient haptic shape exploration with a rigid tactile sensor array, Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [18]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939854

  Moringen, A., Fleer, S., & Ritter, H., 2019. Scaffolding Haptic Attention with Controller Gating. In I. V. Tetko, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation.28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Lecture Notes in Computer Science. no.11727 Cham: Springer, pp. 669-684.

  PUB | DOI | Download (ext.)
   
• [17]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920732

  Krieger, K., et al., 2018. Influence of Shape Elements on Performance during Haptic Rotation. In Haptics: Science, Technology, and Applications 11th International Conference, EuroHaptics 2018, Proceedings, Part I. Lecture Notes in Computer Science. no.10893 Cham: Springer, pp. 125-137.

  PUB | PDF | DOI
   
• [16]
  

  2018 | Konferenzbeitrag | PUB-ID: 2920733

  Moringen, A., et al., 2018. Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment. In IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

  PUB | PDF
   
• [15]
  

  2018 | Diskussionspapier | PUB-ID: 2920731

  Moringen, A., Nowainski, J., & Ritter, H., 2018. Towards Reinforcement Learning of Haptic Search in 3D Environment,

  PUB | PDF
   
• [14]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920726

  Moringen, A., et al., 2017. Haptic Search for Complex 3D Shapes Subject to Geometric Transformations or Partial Occlusion. In 2017 IEEE World Haptics Conference (WHC). Piscataway, NJ: IEEE, pp. 299-304.

  PUB | DOI
   
• [13]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920728

  Krieger, K., et al., 2016. Shape Features of the Search Target Modulate Hand Velocity, Posture and Pressure during Haptic Search in a 3D Display. In F. Bello, H. Kajimoto, & Y. Visell, eds. Haptics: Perception, Devices, Control, and Applications. 10th International Conference, EuroHaptics 2016, London, UK, July 4-7, 2016, Proceedings, Part I. Lecture Notes in Computer Science. no.9774 Cham: Springer, pp. 134-145.

  PUB | DOI
   
• [12]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910977

  Moringen, A., Haschke, R., & Ritter, H., 2016. Search procedures during haptic search in an unstructured 3D display. In S. Choi, K. J. Kuchenbecker, & G. Gerling, eds. 2016 IEEE Haptics Symposium (HAPTICS). Proceedings. IEEE.

  PUB | DOI
   
• [11]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920729

  Moringen, A., & Ritter, H., 2016. Supplementary Haptic Framework for Dexterous Training during Rehabilitation. In Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on Neurorehabilitation (ICNR2016). Biosystems & Biorobotics. no.15 Cham: Springer, pp. 887-891.

  PUB | DOI
   
• [10]
  

  2016 | Konferenzbeitrag | PUB-ID: 2920730

  Moringen, A., & Ritter, H., 2016. Haptic learning and haptic search for complex shapes. In DGR Days.

  PUB
   
• [9]
  

  2015 | Datenpublikation | PUB-ID: 2944641

  Moringen, A., & Kõiva, R., 2015. Modular Haptic Stimulus Board CAD Models, Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [8]
  

  2013 | Bielefelder E-Dissertation | PUB-ID: 2555882

  Barchunova, A., 2013. Manual interaction: multimodality, decomposition, recognition, Bielefeld: Bielefeld University.

  PUB | PDF
   
• [7]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2509469

  Barchunova, A., et al., 2012. Hierarchical Bayesian Modeling of Manipulation Sequences from Bimodal Input. Presented at the Proceedings of the 11th International Conference on Cognitive Modeling, Berlin.

  PUB | PDF
   
• [6]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920877

  Barchunova, A., et al., 2011. Unsupervised Identification of Object Manipulation Operations from Multimodal Input. In B. Hammer & T. Villmann, eds. Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. no.2011 pp. 42-50.

  PUB
   
• [5]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2396357

  Großekathöfer, U., et al., 2011. Learning of Object Manipulation Operations from Continuous Multimodal Input. In IEEE/RAS International Conference on Humanoid Robots 2011.

  PUB | DOI
   
• [4]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2282173

  Barchunova, A., et al., 2011. Multimodal Segmentation of Object Manipulation Sequences with Product Models. Presented at the International Conference on Multimodal Interaction, Alicante.

  PUB
   
• [3]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2509450

  Barchunova, A., et al., 2011. Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input. In B. Hammer & T. Villmann, eds. Machine Learning Reports. New Challenges in Neural Computation. pp. 9.

  PUB | PDF
   
• [2]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2282158

  Barchunova, A., et al., 2010. Identification of High-level Object Manipulation Operations from Multimodal Input. Presented at the IASTED International Conferences on Automation, Control, and Information Technology

  PUB | PDF
   
• [1]
  

  2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2282149

  Barchunova, A., & Sommer, G., 2009. Recognition of Simple 3D Geometrical Objects under Partial Occlusion. In X. Jiang & N. Petkov, eds. Computer Analysis of Images and Patterns. 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings. Lecture Notes in Computer Science, 5702. Springer, pp. 697-704.

  PUB | PDF | DOI